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2026-07-23 19:03 4d ago
2026-07-23 13:36 4d ago
SpaceX is learning as much as it can about rocket updates in test launch: Former SpaceX engineer
SPCX SpaceX
FMP Stock News
Original source text
CNBC's “Squawk on the Street” team discusses SpaceX with Scott Morton, former SpaceX engineer and current CEO of Revel.
2026-07-23 19:03 4d ago
2026-07-23 14:45 4d ago
Toll Brothers Announces Opening of New Luxury Home Community and Award-Winning Model Home in Mapleton, Utah
TOL Toll Brothers
FMP Stock News
Original source text
MAPLETON, Utah, July 23, 2026 (GLOBE NEWSWIRE) -- Toll Brothers, Inc. (NYSE:TOL), the nation’s leading builder of luxury homes, today announced the opening of its newest community, Toll Brothers at Mapleton, in Mapleton, Utah. The community’s award-winning Kamas Farmhouse model home, recently featured in the 2026 Utah Valley Parade of Homes and honored with the prestigious Judge’s Choice award, is now open to the public, showcasing the elegance and craftsmanship for which Toll Brothers is known.

The Heights Collection at Toll Brothers at Mapleton is now open for sale, offering single-family homes with luxury designs ranging from approximately 4,000 to 5,200 square feet. These expertly crafted homes include 3 to 9 bedrooms, 2 to 7.5 bathrooms, and well-equipped kitchens. Select home designs offer optional walk-out basements and accessory dwelling unit (ADU) options, providing a separate private residence ideal for multigenerational living or rental income. Homes are priced from the upper $700,000s. The Crest Collection at Toll Brothers at Mapleton is anticipated to open for sale in fall 2026, with single-family homes from the low $900,000s.

Located in the heart of Mapleton, this community provides convenient access to outdoor recreation opportunities, Brigham Young University, and the city of Provo approximately 20 minutes away. Located within the desirable Nebo School District, Toll Brothers at Mapleton is surrounded by breathtaking views and a charming small-town atmosphere.

Toll Brothers customers will experience one-stop shopping at the Toll Brothers Design Studio. The state-of-the-art Design Studio allows home shoppers to choose from a wide array of selections to personalize their dream home with the assistance of Toll Brothers professional Design Consultants.

"The Kamas Farmhouse model home represents the pinnacle of Toll Brothers luxury and design," said Josh Clark, Division President of Toll Brothers in Utah. "We are thrilled to offer home shoppers the opportunity to tour this award-winning model home and discover the exceptional quality and personalization options available at Toll Brothers at Mapleton."

The Sales Center for Toll Brothers at Mapleton is located at 786 W Sugar Maple Drive in Mapleton. For more information on Toll Brothers at Mapleton, or to schedule a tour, call 800-289-8655 or visit TollBrothers.com/UT.

About Toll Brothers

Toll Brothers, Inc., a Fortune 500 Company, is the nation’s leading builder of luxury homes. The Company was founded in 1967 and became a public company in 1986 with common stock listed on the New York Stock Exchange under the symbol “TOL.” Toll Brothers builds new homes and communities in over 60 markets across the United States, serving first-time, move-up, active-adult, and second-home buyers. The Company also operates its own architectural, engineering, mortgage, title, land development, smart home technology, landscape, and building components manufacturing businesses.

Toll Brothers was named the #1 Most Admired Home Builder in Fortune magazine’s 2026 list of the World’s Most Admired Companies®, the ninth year the Company has achieved this honor. Toll Brothers has also been named Builder of the Year by Builder magazine and is the first two-time recipient of Builder of the Year from Professional Builder magazine. For more information visit TollBrothers.com.

From Fortune, ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Contact: Andrea Meck | Toll Brothers, Senior Director, Public Relations & Social Media | 215-938-8169 | [email protected]

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/2638e3d6-3241-4b0a-b620-777c111f614f

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/736eb730-f080-428d-9b2e-877745aa18a8

Sent by Toll Brothers via Regional Globe Newswire (TOLL-REG)
2026-07-23 19:03 4d ago
2026-07-23 12:06 4d ago
Apple Tests Smarter Shopping Experience
AAPL Apple
FMP Stock News
Original source text
Apple (AAPL) appears to be adding an AI-powered shopping assistant to the Apple Store app, giving customers a more conversational way to compare products and ma
2026-07-23 19:03 4d ago
2026-07-23 12:15 4d ago
3 Things Investors Can Expect When Tim Cook Steps Down as CEO in September After 15 Years and Hands the Reins to John Ternus
AAPL Apple
FMP Stock News
Original source text
After 15 years running Apple (AAPL -1.55%), Tim Cook will hand the CEO role to hardware chief John Ternus on Sept. 1, with Cook staying on as executive chairman. Ternus is a 25-year Apple veteran who helped launch the iPad and AirPods, so this is a carefully planned insider handoff, not a shake-up.

Here are three things Apple investors can reasonably expect from the leadership change.

Image source: Getty Images.

1. Continuity, not a revolution Apple did not hire an outsider with a mandate to tear things up. Ternus has spent his entire career inside Apple, and Cook will remain as executive chairman to smooth the transition. Expect the strategy, the disciplined supply chain, and the capital-return program to carry on largely unchanged in the near term.

Cook is an operations master; Ternus is an engineer who ran hardware for the iPhone, iPad, Mac, and Watch. That suggests a CEO with a sharper instinct for the products themselves, which could mean more aggressive bets on new hardware like foldable devices, smart glasses, and AI-infused gadgets.

2. Pressure to fix Apple's AI story This is the big one. Apple has been widely seen as lagging in artificial intelligence (AI), with Siri and Apple Intelligence both underwhelming users and investors. Ternus inherits the job of making Apple a credible AI player, likely by leaning on its strength in on-device AI and custom silicon. How he handles this will define his tenure.

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3. Steady shareholder returns Don't expect the cash machine to slow down. Apple's massive buybacks and growing dividend should continue, and the real profit engine, its high-margin services business, keeps expanding. In the near term, watch iPhone gross margins, which some view as a key signal of financial health.

Ternus takes over with the stock near all-time highs, but that cuts both ways. Expectations are elevated, so every early decision and product launch will face intense scrutiny, and the share price could be volatile as investors judge whether he can innovate or merely maintain. New CEOs are rarely given much patience.

The takeaway for investors The handoff from Cook to Ternus looks about as smooth as a leadership change at a multitrillion-dollar company can be, which should reassure long-term shareholders. The real questions are about the future, not the transition: Can Ternus close Apple's AI gap and reignite hardware innovation, while protecting the margins and cash returns that investors prize?

I would treat September as the start of a show-me period rather than a reason to buy or sell, and judge the new CEO by his products, not his first press release.
2026-07-23 19:03 4d ago
2026-07-23 12:48 4d ago
A side-by-side comparison shows stark differences between Meta and Anthropic's AI ad campaigns
FB Meta Platforms
FMP Stock News
Original source text
By You're currently following this author! Want to unfollow? Unsubscribe via the link in your email.

Anthropic's ad featured a house on fire. Meta's ad had a rainbow. Screenshots via Anthropic, Meta There's another AI advertising skirmish brewing.

Meta debuted a new ad campaign on Thursday with a spot promising that the "future is for everyone," complete with fairies and butterflies. "Meta has always believed in giving people the power to share, connect, and shape your world in the ways you want," CEO Mark Zuckerberg wrote.

It's hot on the heels of Anthropic's "hard questions" ad two weeks ago that raised eye-brows with its bleak imagery. Some AI fans thought that it was overly pessimistic or "doomer," opening with a house burning to the ground. Sam Altman wrote on X that he initially thought the ad was "satire" from a fake account.

There's no direct call-out of Anthropic in the Meta ad, and Meta began working on its campaign long before Anthropic's ad debuted, a person familiar with the matter said. Still, its structure is strikingly similar, even if the imagery stands in stark contrast. AI companies have brawled in ads before, like the Super Bowl battle between Anthropic and OpenAI.

Here a side-by-side comparison (Anthropic's ad on the left, Meta's on the right) highlighting the similarities — and key differences.

Both ads address AI anxiety.

Ads from Anthropic (left) and Meta (right) both reference the fear that AI could replace jobs. Screenshots via Anthropic, Meta It's no secret: AI often elicits fear, anxiety, and boos.

The first half of Anthropic's ad features questions about these worries. "Can AI be trusted?" one voice asked. "Who's gonna hit the brakes if we need to?" another asked. (Anthropic also clarified that all of these voices were human, not AI.)

The Meta ad also references these concerns, but only for a few seconds. There are flashes of headlines, warning about AI job losses. The tone also sounds a bit accusatory: "Some people will have you believe AI will make us less connected."

Anthropic stays on sour images, while Meta brightens up.

Anthropic shows a cemetery. Meta shows a child with a butterfly. Screenshots via Anthropic, Meta Shortly after referencing the negative headlines, the Meta ad changes to a colorful beam of positivity. There are rainbows! Hugs! Children with butterflies!

Meanwhile, the Anthropic ad lingers on those worries. Over a stilted, staccato piano soundtrack, the ad flashes to photos of homelessness and alludes to death with an imagery of a cemetery.

You can see the tonal difference in the (hidden) faces.

Anthropic shows a man with his hands on his head. Meta shows the top half of a smile. Screenshots via Anthropic, Meta One clear difference between Anthropic and Meta's ads: the faces shown.

The Anthropic ad flashes a man with his hands on his head, possibly in pain or stress — or at least deep in thought. Meanwhile, the Meta ad flashes to arched eyebrows and wide eyes. One can imagine that, if the camera panned down, they'd be smiling.

Meta is clearer about its product placement than Anthropic.

Anthropic subtly shows some logos, while Meta lists its new model's name. Screenshots via Anthropic, Meta You could watch the Anthropic ad and not realize what company it was for, until the Claude logo flashed at the end.

Anthropic's product placement is relatively subdued. There are a few shots of people in front of computers, where Claude is visible but blurry. The clearest reference is the Claude stickers on a laptop, but those are partially cut out of the shot.

Meta's logos are all over its ad. There are references to Facebook, Instagram, and WhatsApp. At one point, the ad shows Meta's new AI model name in full: Muse Spark 1.1.

Both ads come around to celebration.

Both Anthropic and Meta show celebratory moments. Screenshots via Anthropic, Meta While it takes a bit longer, the Anthropic ad eventually strikes a hopeful tone. The voices ask about becoming better teachers and parents, thanks to AI. There are delightful shots of people spraying water into the street.

Meanwhile, Meta's joy intensifies. There are celebrities, like Jalen Brunson and Kylie Jenner (Meta partnered with Jenner for its latest AI glasses). There are more shots of children.

People might find Anthropic's message muddled.

Anthropic's final line says that there is "hope in hard questions." Screenshot via Anthropic The final line of Anthropic's ad strikes both tones.

The first two words are positive, about "hope." It brings back the joy we saw, the whale flying through the sky. The close is "hard questions," a reminder of the ad's opening. Those worries — the job losses, the burning houses and cemeteries — won't go away.

It's a tricky balance to try to strike in an ad, and it makes sense that it left some people saying they found it muddled or confusing.

Meta's message is (not shockingly) positive.

Meta's final line says that the "future is for everyone." Screenshot via Meta Meta's ad ends on a high note.

"The future is for everyone," it commands. It promises us equal access and usefulness. But there's no reference to those worrying headlines earlier in the ad. They seem to have washed away, replaced by one big smile.

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Henry Chandonnet You're currently following this author! Want to unfollow? Unsubscribe via the link in your email.

Anthropic Meta Mark Zuckerberg More
2026-07-23 19:03 4d ago
2026-07-23 13:22 4d ago
Meta's Mark Zuckerberg pushes back against AI doomerism with optimistic new campaign: ‘Call us dreamers'
FB Meta Platforms
FMP Stock News
Original source text
Meta CEO Mark Zuckerberg is pushing back against AI doomerism, sharing an assertively optimistic outlook on the future of the tech and arguing his company’s new tools will only aid its goal of connecting the world.

A Facebook video posted from his account takes aim at narratives that portray artificial intelligence as a danger to society, showing clips of fear-mongering headlines on a laptop – and then cutting to images of a child playing with a butterfly and friends sitting by a waterfall.

“Some people will have you believe AI will make us less connected. That it’s gonna leave us behind. We couldn’t disagree more,” a narrator says. “Call us optimists. Call us dreamers. Just as we’ve always done, we’re betting on people.”

Meta CEO Mark Zuckerberg on Thursday shared an emphatically optimistic outlook on the future of AI. Bloomberg via Getty Images “We bet on people when we connected you to the ones you lost touch with and again when we connected you to the ones you couldn’t be near,” the message continues. “Twenty-two years and 3.5 billion people later, we’re doubling down, because while technology will change, our intention behind it never will.”

The ad also promises to stay true to Meta’s mission of providing free, accessible access to social media – a notable pledge as major tech companies, including Meta, have tested potential subscription plans for AI chatbot users.

“Meta has always believed in giving people the power to share, connect, and shape your world in the ways you want,” Zuckerberg wrote in a caption for the video. 

“As we enter this next wave with AI, we continue to believe the future is for everyone. We’re focused on giving every person the tools to reach your full potential and making sure the benefits of technology are distributed to everyone.”

A Meta spokesperson confirmed the new video is just the first release as part of a broader campaign over the coming months to articulate Meta’s optimistic AI vision.

It’s a stark contrast to other industry bigwigs who have been sounding the alarm over potential threats, warning ultra-powerful chatbots could create an “AI doomsday” situation.

On Tuesday, OpenAI revealed that an experimental model it built went rogue during an internal cybersecurity test – hacking rival AI developer Hugging Face in an “unprecedented cyber incident.”

Meta pledged to stick to its mission of providing free, accessible access to social media. REUTERS During the stress test, researchers switched off many of the safeguards that typically prevent its AI from carrying out dangerous hacks, but the bot became “hyperfocused” on completing its assignment and went “to extreme lengths” to do so, the company said.

OpenAI said it has since tightened up its security measures for future testing, but AI safety advocates said the shocking hack should serve as a wake-up call for companies rushing to get the most powerful models to market the quickest.

Anthropic’s advanced Mythos chatbot also sparked fears in June after it reportedly sniffed out vulnerabilities in highly secure US government systems within just a few hours, though that does not necessarily mean the bot would be able to exploit those sensitives within that timeframe.

Some critics have dismissed the grim statements as marketing.

Others have railed against AI over concerns it could cause mass layoffs and displace droves of American workers, especially entry-level employees.

So far this year through June, nearly a third of all job cuts have hit the tech sector – and AI came in as the leading reason for layoffs in June for the fourth month in a row, according to the most recent report from Challenger, Gray & Christmas.

Since 2023, when AI first emerged as a driving force in layoffs, the new tech has been cited in 173,568 job cut announcements, according to Challenger.

Proponents of AI have said the new tech could temporarily lead to job displacement, but that it will also create new jobs in the long-term.
2026-07-23 19:03 4d ago
2026-07-23 14:32 4d ago
Mark Zuckerberg's Meta Is Expected to Report $60 Billion in Q2 Revenue on July 29. The Stock Has Recovered From a 20% Drawdown to Within 5% of Flat for the Year.
FB Meta Platforms
FMP Stock News
Original source text
Meta Platforms (META -3.26%) will deliver its second-quarter results on July 29, and the consensus expectation among Wall Street analysts following the company is that it will report roughly $60 billion in revenue, near the top of the company's own guidance range. The stock has quietly staged a comeback recently, clawing back from a slide of 20% earlier this year to within about 5% of where it started 2026.

But the figure investors should really focus on is not the revenue line. It is what Mark Zuckerberg is doing with all the cash the ad machine generates.

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Zuckerberg's quiet pivot to a compute provider Behind the familiar story of Instagram and Facebook ads, Meta is transforming itself into something new: a compute provider. Zuckerberg has raised the company's 2026 capital spending plan to a staggering $125 billion to $145 billion, most of it aimed at building out AI data centers on a scale few companies can imagine. Meta is deploying more than 1 gigawatt of the custom chips it developed with Broadcom, alongside processors from Nvidia and Advanced Micro Devices.

The more intriguing part is what Meta might do with all that hardware. Reports suggest it is exploring becoming a cloud infrastructure provider, effectively renting out computing power the way that fellow hyperscalers Amazon, Alphabet, and Microsoft do, including a potential multibillion-dollar compute deal with AI lab Anthropic. If that pans out, Meta would layer an entirely new business on top of its advertising empire, turning what has been a massive cost center into a possible revenue engine.

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What to watch in the quarter The advertising business remains the company's cash cow, and it is still growing at an impressive clip, so the headline revenue number should look healthy.

What should matter more to investors is evidence that Meta's enormous AI spending is paying off. Investors want to see AI further improving ad targeting and engagement, and will welcome any concrete sign that the compute build-out can generate direct revenue through capacity deals with external customers. The stock's 20% drop earlier this year came after the company boosted its capital expenditure forecast for the year, and investors flinched at the price tag. The recovery since then suggests they have regained some faith in the company's plans, but that also means the bar is higher now. 

Image source: Getty Images.

What investors should consider Meta's Q2 report will be less about whether it hits $60 billion in revenue, which looks likely, and more about whether Zuckerberg's plan to transform the company into a compute provider could justify the jaw-dropping costs of its data center build-out. The largely recovered stock price has already priced in a fair amount of optimism, so another surprise capex boost or thin evidence of monetization could reignite the fears that drove the earlier sell-off.

Longer term, I find the pivot genuinely compelling: If Meta can bolt a compute-rental business onto the most profitable advertising operation on Earth, it would have two powerful engines instead of one. But its spending plans are enormous, and the payoffs of those investments are unproven, so I will be watching Meta's capex guidance and monetization signals on July 29 far more closely than the headline revenue number.

Micah Zimmerman has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, Amazon, Broadcom, Meta Platforms, Microsoft, and Nvidia. The Motley Fool has a disclosure policy.
2026-07-23 19:03 4d ago
2026-07-23 12:07 4d ago
Tesla and Alphabet Trigger Nasdaq 2.5% Selloff as Oil Nears $100
TSLA Tesla
FMP Stock News
Original source text
Tesla (TSLA) and Alphabet GOOGL shares led a broad market selloff on Thursday after investors reacted to higher artificial intelligence spending, sending the Nasdaq Composite down about 2.5% and the S&P 500 lower about 1.5%, while rising Middle East tensions pushed Brent crude close to $100 a barrel.

Tesla fell about 12% after reporting quarterly earnings that missed profit expectations despite stronger revenue, while Alphabet dropped roughly 7% after lifting its 2026 capital expenditure outlook to as much as $205 billion. The decline weighed on major indexes, with other large-cap technology stocks also trading lower.

Alphabet said it plans to increase spending on AI infrastructure as demand for computing capacity continues to grow. Separately, the company also faced a roughly $1 billion European Union fine tied to its search business, adding to investor concerns.

Oil prices extended recent gains after reports that Iran-backed Houthi forces attacked two Saudi oil tankers. Brent crude climbed more than 6% to nearly $100 per barrel, while U.S. benchmark West Texas Intermediate rose about 5%.

Higher energy prices also lifted Treasury yields as investors reassessed inflation and interest-rate expectations. The yield on the benchmark 10-year Treasury note rose to its highest level since January 2025, while traders increased expectations for potential Federal Reserve rate hikes over the coming months.
2026-07-23 19:03 4d ago
2026-07-23 12:47 4d ago
Did Tesla Finally Provide Clarity on Merger With SpaceX?
TSLA Tesla
FMP Stock News
Original source text
Key Takeaways Tesla did not confirm a SpaceX merger, but Musk said overlap between the companies is increasing.Tesla and SpaceX are collaborating on Terafab, Digital Optimus, AI chips and robotics.Starlink is set for Cybercab and other Tesla vehicles where available to support reliable connectivity. There has been much speculation on whether Elon Musk would eventually combine Tesla (TSLA - Free Report) and SpaceX (SPCX - Free Report) . The two companies share a founder, operate at the cutting edge of technology and have worked together across artificial intelligence, robotics and manufacturing.

On Tesla's second-quarter 2026 earnings call, when Musk was asked about a Tesla-SpaceX merger and whether it made strategic sense, he didn't dismiss the idea. Instead, he acknowledged that the two companies are becoming more closely intertwined.

Quoting him, “As you can tell from the many collaborations on so many fronts with SpaceX, there's more and more overlap.” He added that discussions about combining companies could not take place on an earnings call and would need to follow the "appropriate process."

While the response stopped well short of confirming any merger plans, it also didn't rule out the possibility. Musk, in fact, chose to emphasize the growing operational relationship between the two companies.

The Growing Overlap Between Tesla & SpaceXTesla and SpaceX are no longer simply two companies run by the same CEO. Their relationship has evolved into a strategic partnership spanning artificial intelligence, semiconductor manufacturing, robotics and connectivity.

Earlier this year, Tesla deepened its ties with SpaceX through an investment and a framework agreement, allowing the companies to expand collaboration on projects such as Terafab and Digital Optimus. The closer relationship was also reflected in Tesla's second-quarter results, where the company recorded a $1 billion mark-to-market gain on its SpaceX investment.

Developed jointly by Tesla and SpaceX, Terafab is a large-scale semiconductor manufacturing project that Musk described as critical to Tesla's future. The facility will help produce the AI chips needed to scale Optimus, Tesla's humanoid robot. Without sufficient chip supply, the company's long-term robotics ambitions could face constraints.

The companies are also working together on Digital Optimus. SpaceX's larger AI model helps assign tasks to the robot, highlighting how the two companies are increasingly sharing expertise in AI and computing rather than operating as completely separate technology businesses.

The collaboration extends beyond AI and robotics. Musk revealed that SpaceX's Starlink satellite internet service will be integrated into Tesla's Cybercab and eventually into all Tesla vehicles in markets where Starlink is available. He said reliable connectivity is essential for autonomous ride-hailing because cellular networks still have coverage gaps, even in densely populated regions such as Silicon Valley. Starlink would also ensure robotaxis remain connected while also supporting high-bandwidth services such as video streaming and other in-car entertainment.

Why Investors Keep Asking the QuestionThe growing collaboration between Tesla and SpaceX explains why merger speculation continues. The two companies are becoming increasingly intertwined across technologies that are central to their long-term strategies.

The similarities also extend beyond collaboration. Much of both companies' valuations today is driven not by their traditional businesses—selling electric vehicles in Tesla's case or launching rockets in SpaceX's—but by investor expectations around artificial intelligence and future technologies. Tesla is betting on autonomy, robotics and AI-driven manufacturing, while SpaceX is expanding beyond space transportation into satellite communications and AI-enabled infrastructure. As those ambitions converge, it's easy to see why investors continue to debate whether the partnership could eventually evolve into something bigger.

Musk also has a history of bringing companies within his broader ecosystem together through acquisitions and strategic restructurings— from Tesla's acquisition of SolarCity in 2016 to xAI's purchase of X and, more recently, SpaceX's acquisition of xAI.

The Bottom LineTesla's latest earnings call didn't confirm that a merger with SpaceX is in the works. But it did provide the clearest indication yet that the relationship between the two companies is becoming deeper and more strategic. Rather than focusing solely on merger speculation, investors should keep a close watch on how quickly Terafab ramps, whether Starlink integration expands beyond Cybercab, and if Tesla deepens its financial ties with SpaceX.

Tesla and SpaceX carry a Zacks Rank #3 (Hold) each. You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.
2026-07-23 19:03 4d ago
2026-07-23 12:49 4d ago
France opposes EU approval of Tesla's FSD driver assistance software for now
TSLA Tesla
FMP Stock News
Original source text
The silhouette of Elon Musk and Tesla logo are seen in this illustration taken June 11, 2026. REUTERS/Dado Ruvic/Illustration/File Photo Purchase Licensing Rights, opens new tab

SummaryCompaniesFrance cited safety concerns over Tesla FSD in its current formThe Netherlands provisionally approved FSD on Dutch roadsBelgium, Denmark, Estonia and Lithuania followed suit ahead ​of a possible EU vote this fallAMSTERDAM, July 23 (Reuters) - France opposes the use of Tesla's (TSLA.O), opens new tab Full Self-Driving (FSD) driver assistance software in its current form ​on roads in the European Union due to safety concerns, its transportation ​minister said.

The French stance on the FSD software is the ⁠first public rejection by an EU government of a Dutch-led initiative to approve ​the technology for use throughout Europe.

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In a video statement released on Wednesday, Philippe ​Tabarot pointed to worries over speeding and driver inattention.

"In France, we believe that, while this system brings a number of technological advances, the safety tradeoffs are not yet sufficient to ​justify authorisation in its current form," he said.

Tabarot added that other European ​countries shared France's concerns regarding the software, though he did not name them.

Reuters reported in June ‌that Sweden ⁠may also oppose approval.

Tesla's FSD is a driver assistance system that can accelerate, brake, and steer a car, while its human driver remains ready to intervene.

The Netherlands' road authority RDW approved the technology for use on Dutch roads on ​a provisional basis in ​April, prompting Belgium, ⁠Denmark, Estonia and Lithuania to do the same in advance of a possible bloc-wide vote on the plan this ​fall.

The RDW could not immediately be reached for comment on ​Thursday.

FSD software ⁠is seen as a selling point and revenue-generator for Tesla, whose European registrations are gradually recovering following a slump last year.

Responding to Tabarot's remarks in a statement on ⁠X, ​Tesla CEO Elon Musk wrote that "delaying the approval ​of FSD in France will cost lives".

Tabarot said France is continuing technical discussions with the Netherlands and ​other EU countries over the technology.

Reporting by Toby Sterling; Editing by Joe Bavier

Our Standards: The Thomson Reuters Trust Principles., opens new tab
2026-07-23 19:03 4d ago
2026-07-23 13:00 4d ago
Tesla Q2: Why I Still Can't Be Bullish
TSLA Tesla
FMP Stock News
Original source text
Tesla delivered strong Q2 vehicle growth and increased FSD subscriptions, but profitability suffered from lower average selling prices and higher expenses. TSLA's optionality in FSD, Cybercab, Semi, and Optimus offers compelling long-term growth potential, yet these ventures remain highly capital-intensive and uncertain in timing and scale. Despite robust prospects, TSLA's current valuation—200x earnings and 90x forward EBITDA—remains excessive relative to achievable near-term fundamentals and optionality realization.
2026-07-23 19:03 4d ago
2026-07-23 13:06 4d ago
Here's Why This Tesla-Focused ETF Crashed Today
TSLA Tesla
FMP Stock News
Original source text
Shares in the YieldMax TSLA Option Income Strategy ETF (TSLY -13.43%) declined by 14.2% at 11:30 am today. The decline correlated with the fall in Tesla (TSLA -13.97%) shares following the release of its second-quarter earnings report. Here's the lowdown.

Why YieldMax Tesla Option Income Strategy ETF declined As the name suggests, the ETF uses option strategies to deliver returns to investors based on the performance of Tesla's stock. It gains long exposure to the stock by buying call options and selling put options – both positions reward bullishness. At the same time, the ETF's managers also sell call options, which "generally have a strike price that is approximately 0%-15% above the then-current share price of the Underlying Security." This is a bearish strategy that rewards the ETF as long as the price of the stock doesn't rise significantly.

NYSEMKT: TSLYTidal Trust II - YieldMax Tsla Option Income Strategy ETF

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The combination of strategies gives the ETF significant income generation in long periods of relatively low volatility for Tesla stock, particularly when Tesla stock is gently rising, but can underperform Tesla stock in sharply rising periods due to selling call options.

It does not do well when the stock falls sharply, and that's what happened today.

It would be remiss to discuss the ETF without mentioning why Tesla stock fell today. Simply put, Tesla's gross and profit margins came in lower than expected due to rising costs (both for goods sold and operating expenses). More importantly, CEO Elon Musk's commentary on the robotaxi rollout made it abundantly clear that it will be a measured, safety-first rollout that is unlikely to scale massively until the latest version of full self-driving (FSD) software, v15, is validated and released.

Image source: The Motley Fool.

That dose of reality is likely causing previously overly optimistic investors to sell the stock. That's the bad news, but the good news is it might reset expectations for the rollout and ultimately allow long-term bulls to buy stock cheaper.

Lee Samaha has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Tesla. The Motley Fool has a disclosure policy.
2026-07-23 19:03 4d ago
2026-07-23 13:27 4d ago
Tesla Says Optimus Is the First Robot That Learns by Watching
TSLA Tesla
FMP Stock News
Original source text
Optimus moved into production this quarter at Tesla’s Fremont, California, factory, where the humanoid robot learns from what it sees instead of code written to instruct it.

“You’ve probably seen lots of impressive demonstrations of robots on the internet,” CEO Elon Musk said Wednesday (July 22) on the company’s second-quarter earnings call. “Those demonstrations are pre-programmed or remote controlled. There is no humanoid robot that is actually able to do generalized tasks. Optimus will be the first one that is capable of doing that.”

That scalability is the point. Programming a robot for every possible task isn’t feasible, but learning by observation is virtually limitless: factory floor footage runs continuously, and video of humans performing everyday tasks already exists at internet scale. Like a new employee, Optimus practices, fails, learns and improves, the company says.

“Just like Full Self-Driving, Tesla’s driver-assistance software, we have access to a broad fleet of humans giving us data from all of the workers at our factory,” said Ashok Elluswamy, Tesla’s vice president of AI. “Optimus can learn quite a bit from observing them perform their tasks.”

Optimus Has No Existing Supply Chain, So Tesla Is Building One Getting Optimus built at scale is a separate challenge. Cars draw on decades of existing suppliers for parts like glass and body panels; Optimus has no such precedent. Every part is new and every supplier had to be found from scratch or brought in-house.

“The difficulty of scaling the production ramp is proportionate to the newness of the parts in the robot,” Musk said. “With Optimus, there is no supply chain.”

Karen Cattan, Tesla’s VP of supply chain, said the company builds components itself when outside partners fall short. “In certain cases where we don’t find a great partner, we’ve never hesitated from insourcing it,” she said. Tesla is also lining up outside suppliers for chips and batteries. Samsung is building a manufacturing facility in Texas. Micron, one of the world’s largest memory chip makers, has given Tesla an allocation at a time when supply is tight. Panasonic has invested in battery cell production to support the ramp.

Tesla has also placed equipment orders for a chip development facility in Austin that puts design, testing and production under one roof, compressing a process that typically takes months into weeks. No such facility exists anywhere else on earth, Musk said. “It’s going to be the hardest product to scale manufacturing that we’ve ever made at Tesla,” he said.

Robotaxi Fleet Has Driven 380,000 Miles Without a Notable Incident While Optimus is a longer-term bet, Tesla’s robotaxi program, fully driverless vehicles that pick up and drop off passengers with no one behind the wheel, is proving the same technology in the real world.

Tesla has logged more than 380,000 miles of unsupervised robotaxi driving across seven U.S. markets with zero notable incidents, Elluswamy said. The fleet is growing at double-digit rates week over week and Tesla expects that pace to hold through year end.

The program started roughly a year ago in Austin with safety monitors in the car. By late last year it was running with no one on board, and it has since expanded across Florida, Texas and the Bay Area. “Robotaxi growth so far has been literally exponential while keeping an impeccable safety record,” Elluswamy said.

Both robotaxis and Optimus run on the same principle: a machine that learns from what it sees, improves through repetition and eventually outperforms a system following a fixed script. Robotaxis are proving the model works. Optimus is the next test of it.

What Else Stood Out Full Self-Driving, Tesla’s software that handles steering, acceleration and braking without human input, now has nearly 1.5 million paying customers globally. In North America, 55% of Q2 North American deliveries had FSD enabled at purchase. Tesla is adding Starlink satellite connectivity to the Cybercabs. Tesla ended Q2 with its biggest order backlog since 2023. Model Y set sales records in the Netherlands, Australia and New Zealand, CFO Vaibhav Taneja said. The Tesla Semi, the company’s electric freight truck, will get autonomous driving capability by end of this year or early next. Optimus will eventually have superhuman dexterity, finer motor control than a human hand, Musk said. The human hand is more remarkable the closer you study it, he added, and Optimus is designed to match and then exceed it. Second-Quarter Results and Future Outlook Tesla reported record second-quarter deliveries with sequential growth of 60% in the Americas, 27% in Asia Pacific and 12% in Europe, the Middle East and Africa.

Automotive gross margins, excluding regulatory credits, fell from 19.2% to 16.3%, driven by the non-recurrence of a $230 million warranty benefit and tariff relief from Q1. Adjusted for those items, margins were approximately flat.

Service margins, which include used cars, Supercharging, service centers and insurance, hit an all-time high of 14.1%, up from 9.2%. Free cash flow turned negative as capital expenditure more than doubled from the previous quarter, and Tesla now expects full-year capital expenditure above $25 billion.
2026-07-23 19:03 4d ago
2026-07-23 14:05 4d ago
Tesla's Worst Day In A Year Cuts Elon Musk's Net Worth By $18 Billion
TSLA Tesla
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ToplineElon Musk’s fortune was cut by more than $18 billion on Thursday amid the worst intraday selloff in Tesla shares in more than a year, following the automaker’s earnings report that disappointed Wall Street, as analysts called for Musk’s firm to bring “tangible” results for its robotics and robotaxi businesses.

The automaker reported earnings that disappointed Wall Street, with plans to spend billions more on AI.

Getty Images

Key FactsShares of Tesla plunged 14.1% as of Thursday afternoon, pacing what would be the largest single-day decline for the stock since June 5, 2025 (14.2%).

That drop in Tesla’s share price lowered Musk’s net worth by $18.6 billion to $731.7 billion, even as he remains the world’s richest person ahead of Google co-founder Larry Page ($263.8 billion) and Amazon’s Jeff Bezos ($245.4 billion).

Tesla's slump follows the company’s quarterly earnings report on Wednesday, in which the automaker reported $28.2 billion in revenue, beating consensus analyst estimates of $27.2 billion, according to FactSet, while posting earnings that fell well below projections of 55 cents at 33 cents.

Chief financial officer Vaibhav Taneja, during Tesla’s earnings call, reiterated plans for the automaker to spend $25 billion this year and more in the coming years.

That brought some criticism from Wall Street: Morgan Stanley analysts said in a note that while Tesla’s spending is a “necessary investment,” the company will need to present “tangible” milestones for its robotaxi and Optimus programs.

Canaccord Genuity analysts echoed that sentiment, writing the firm wanted to see meaningful robotaxi deployments over the next six months as Tesla ramped up its AI strategy.

surprising factCanaccord analysts noted they hoped to see momentum around a merger between Tesla and SpaceX. In Tesla’s earnings call, Musk deflected a question about a possible tie-up following months of speculation: “We can’t talk about, you know, combining companies and that kind of thing on an earnings call—it has got to be done with the appropriate process.” Musk did note there is “more and more overlap” between his two firms, pointing to Starlink’s integration in Cybertrucks, and TeraFab, a proposed AI chip manufacturing venture between Tesla, SpaceX and the former xAI, which is now a SpaceX subsidiary.

what to watch forSpaceX will launch its 13th test flight of the Starship rocket on Thursday, its first since the rocket maker’s initial public offering last month. An earlier launch scheduled for last week was aborted after Musk said some of the rocket’s engines failed to start. That pushed SpaceX shares down by more than 4%, lowering Musk’s net worth by more than $45 billion.

contraSpaceX shares were largely flat on the day, down only 0.1% as of around 1:45 p.m. EDT, having little impact on Musk’s fortune.

key backgroudnMusk’s fortune has fallen more than $700 billion from its peak, which came shortly after SpaceX’s IPO. A trading debut for his SpaceX made him a trillionaire, and surging shares in the rocket maker boosted him to a high of $1.45 trillion before a weekslong selloff that has since pushed his net worth below pre-IPO levels. The latest dip in Tesla shares followed speculation from shareholders about whether Musk would reveal updates for Tesla’s Optimus robotics or robotaxi plans, with submitted questions ahead of the automaker’s earnings asking why its robotaxi business had been “stalled.” Another question posed: “What is keeping Tesla back from accomplishing these short-term goals that they’ve set for themselves?”

further readingForbesMusk Says Tesla And SpaceX ‘Can’t Talk About’ Merging On Earnings Call—But Here’s What He Did SayBy Ty Roush
2026-07-23 19:03 4d ago
2026-07-23 14:30 4d ago
Hatem Dhiab on TSLA Earnings Sell-Off: Not Enough Focus on Here & Now
TSLA Tesla
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Hatem Dhiab shares his biggest takeaways from Tesla's (TSLA) earnings, including concerns over CapEx climbing toward $25 billion for 2026. He argues that some investors are shifting their attention to SpaceX (SPCX), another Elon Musk-led company with a stock struggling to find its footing.
2026-07-23 19:03 4d ago
2026-07-23 14:33 4d ago
QUICK SPARK: Tesla Stock Heads for Worst Day in Over a Year
TSLA Tesla
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Tesla Inc. (NASDAQ:TSLA) shares are down sharply after the company’s earnings update, putting the stock on track for its worst session in more than a year.

Tesla was down 14% in the session, a move that would mark its worst day since June 2025.

Tesla’s Q2 Earnings MissThe decline follows a disappointing second-quarter earnings report. On Thursday, Tesla reported an adjusted earnings per share of 33 cents, falling short of the 50 cents expected by analysts.

Former Tesla president Jon McNeill noted that these discounts, combined with a significant drop in regulatory credit revenue, have squeezed margins.

Analysts Adjust Tesla Price TargetsTechnical Analysis

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2026-07-23 19:03 4d ago
2026-07-23 14:40 4d ago
Reality Bites Elon Musk and His Tesla, SpaceX Believers
TSLA Tesla
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Shares of Tesla have tumbled around 15% on a disappointing quarter, and SpaceX has fallen 50% from its highs.
2026-07-23 19:03 4d ago
2026-07-23 14:07 4d ago
Coca-Cola Q2 Earnings: Should You Buy the Stock Ahead of the Release?
KO Coca-Cola
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Key Takeaways Coca-Cola is expected to report Q2'26 revenue and EPS growth, with results due on July 28.KO's all-weather strategy is supported by pricing actions, organic growth and global value share gains.KO faces volume pressure in North America and Europe as value-conscious consumers weigh on demand. The Coca-Cola Company (KO - Free Report) is slated to report second-quarter 2026 earnings on July 28, before the opening bell. The company is expected to register year-over-year top- and bottom-line growth when it posts second-quarter numbers.

The Zacks Consensus Estimate for revenues is pegged at $13.1 billion, implying 4.2% growth from the year-ago quarter's reported figure. The consensus estimate for earnings is pegged at 92 cents per share, indicating 5.6% growth from the prior-year quarter’s reported figure. The consensus mark for earnings has been unchanged in the past 30 days.

The Atlanta, GA-based company has been reporting steady earnings, as evidenced by its positive earnings surprise trend in the trailing 12 quarters. Coca-Cola delivered a trailing four-quarter earnings surprise of 4.5%, on average. On the last reported quarter’s earnings call, the company registered an earnings surprise of 6.2%. Given its positive record, the question is, can KO maintain its momentum?

Q2 Earnings Whispers for Coca-ColaOur proven model does not conclusively predict an earnings beat for KO this time around. The combination of a positive Earnings ESP and a Zacks Rank #1 (Strong Buy), 2 (Buy) or 3 (Hold) increases the chances of an earnings beat. You can uncover the best stocks to buy or sell before they are reported with our Earnings ESP Filter.

Coca-Cola currently has a Zacks Rank #3 and an Earnings ESP of 0.00%.

You can see the complete list of today’s Zacks #1 Rank stocks here.

Key Trends in Focus Ahead of KO's Q2 Earnings ReleaseCoca-Cola’s second-quarter 2026 results are expected to reflect the strength of its all-weather strategy and the resilience of its global portfolio. KO’s momentum has been fueled by solid organic revenue growth, effective pricing actions and continued gains in global value share across the non-alcoholic RTD category. The company’s ability to command premium pricing underscores the strength of its brand portfolio and execution discipline. Strategic revenue growth management and affordability initiatives are helping balance pricing with consumer retention.

Our model predicts organic revenue growth of 3.9% and comparable EPS to rise 6.5% year over year to 93 cents for the second quarter.

KO’s ongoing focus on innovation, digital transformation and marketing excellence further sharpens its competitive edge, with breakthrough product launches and culturally resonant campaigns elevating brand relevance. The company’s refreshed marketing model blends digital, live and in-store touchpoints to build stronger, more personalized consumer connections. Margin expansion, driven by productivity gains, easing inflation and disciplined revenue growth management, reinforces its financial durability.

Looking ahead, Coca-Cola expects to maintain strong margin discipline, supported by productivity gains, favorable price/mix dynamics and gradual easing of inflationary pressures. Our model predicts the adjusted operating margin to expand 30 bps year over year to 35% in the second quarter, led by a flat adjusted gross margin rate and a 40-bps improvement in the SG&A expense rate.

For second-quarter 2026, comparable revenues and EPS are expected to include currency tailwinds of 1% and 3%, respectively. Both metrics are also estimated to include a 1% headwind from acquisitions and divestitures.

However, Coca-Cola is expected to have faced notable volume pressure in key markets, reflecting evolving consumer behavior and economic challenges, particularly in North America and Europe. The company is witnessing soft volumes as low-income consumers remain value-conscious amid inflationary pressures. These widespread volume challenges signal waning consumer momentum, particularly in lower-income groups.

While Coca-Cola continues to rely on price/mix gains to support revenues, the persistence of volume softness raises concerns about sustained demand, making recovery efforts in lagging regions even more critical.

Coca-Cola’s Price Performance & ValuationKO shares have risen as much as 17.6% year to date. The stock has outpaced the broader industry and the Consumer Staples sector’s 10.9% and 8.4% growth, respectively. KO stock has also outperformed the S&P 500 index, which has risen 9.5% in the same period.

KO Stock’s YTD Performance
Image Source: Zacks Investment Research

Coca-Cola stock has outperformed its key competitor, PepsiCo Inc. (PEP - Free Report) , which has declined 5.4% year to date. Coca-Cola has also outpaced Keurig Dr Pepper Inc.’s (KDP - Free Report) growth of 7.9% but underperformed Monster Beverage Corporation’s (MNST - Free Report) rally of 24.8% in the same period.

From the valuation standpoint, KO trades at a forward 12-month P/E multiple of 24.3X, exceeding the industry average of 19.01X and the S&P 500’s average of 20.85X. Coca-Cola’s valuation appears quite pricey.

Image Source: Zacks Investment Research

KO undoubtedly commands a high valuation, reflecting its strong market positioning, brand power and long-term growth potential compared with other non-alcoholic beverage companies. However, we believe that its valuation is too stretched at this time.

Investment ThesisCoca-Cola remains a powerhouse in the beverage industry, commanding more than 40% of the global non-alcoholic beverage market. The company’s enduring success is driven by a formidable market presence, world-class marketing capabilities and a relentless focus on innovation. With a portfolio boasting more than 4,700 products and 500 brands, spanning sodas, juices, waters and energy drinks, Coca-Cola continues to reinforce its leadership.

KO’s dominant market share, broad product range and strategic emphasis on innovation and digital transformation position it well for sustained long-term growth. However, short-term headwinds, such as inflationary pressures, global macroeconomic uncertainties and unfavorable currency fluctuations, remain challenges to navigate.

ConclusionCoca-Cola enters its second-quarter earnings release with solid momentum, supported by pricing strength, organic revenue growth, productivity gains and disciplined margin management. Its powerful brand portfolio, innovation pipeline and global reach continue to reinforce long-term resilience. However, persistent volume weakness in North America and Europe, particularly among lower-income consumers, remains a key concern.

The stock’s strong year-to-date rally and premium valuation leave limited room for disappointment. Although Coca-Cola’s fundamentals remain sound, investors may prefer to wait for clearer evidence of volume recovery and sustained earnings momentum before considering fresh exposure at the current valuation levels following earnings.
2026-07-23 19:03 4d ago
2026-07-23 12:14 4d ago
Alphabet Keeps Quarterly Dividend Unchanged
GOOGL Alphabet
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Alphabet (GOOGL) declared a quarterly dividend of $0.22 per share, keeping its payout unchanged for the second consecutive quarter.The dividend will be paid on
2026-07-23 19:03 4d ago
2026-07-23 12:24 4d ago
Why Alphabet Stock Crashed Today
GOOGL Alphabet
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Alphabet (GOOG -6.73%) (GOOGL -6.80%) stock tumbled 7.4% through 11:20 a.m. ET Thursday despite absolutely steamrolling analyst forecasts for Q2 earnings. Expected to earn just $2.88 per share on $116.5 billion in sales, Alphabet reported profits of $9.11, and sales of $119.8 billion -- both well ahead of expectations.

So why is Alphabet stock crashing in response?

Image source: Google.

Alphabet Q2 earnings Revenue ran ahead 24% year over year , led by Google Cloud growth of 84%. Google Services revenues were up only 15%, however, with Google Search up 17%, and YouTube Ads up 13%. Earnings roughly tripled year over year.

CEO Sundar Pichai credited "AI infrastructure and AI solutions" in the company's Cloud business for the performance. It's no surprise, therefore, that Alphabet plans to double down on what's working, and management says it will increase capital investment in AI to somewhere between $195 billion and $205 billion this year (about $15 billion beyond previous predictions) -- and then spend even more hiring AI computing capacity from third parties.

And that didn't please investors one bit.

Today's Change

(

-6.73

%) $

-23.02

Current Price

$

318.89

What it means for Alphabet stock Alphabet's tremendous cash outlays for AI may be delivering the revenue and GAAP profit growth investors like to see, but they're devastating the company's cash flow statement, which showed $5.8 billion in cash burn in Q2 -- versus $5.3 billion in positive FCF a year ago.

The "good" news is that if Alphabet invests "only" $205 billion in building out its AI business this year, then forecasts for $210 billion in cash from operations will return the company to about $5 billion in positive FCF by the end of the year.

The bad news: GAAP profit is expected to be $225 billion this year. And almost none of that will be backed up by real free cash flow.

Caveat investor.

Rich Smith has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet. The Motley Fool has a disclosure policy.
2026-07-23 19:03 4d ago
2026-07-23 12:41 4d ago
GOOGL Q2 Earnings Beat Estimates, Cloud & Search Aid Top-Line Growth
GOOGL Alphabet
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Key Takeaways Alphabet's Q2 revenues rose 24%, while earnings surged on unrealized equity securities gains.Google Cloud revenues jumped 82%, with backlog reaching $514 billion and margins expanding sharply.Alphabet raised 2026 capital spending guidance to $195 billion-$205 billion to meet AI and Cloud demand. Alphabet (GOOGL - Free Report) reported second-quarter 2026 earnings of $9.11 per share, comfortably beating the Zacks Consensus Estimate of $2.88 per share and significantly higher than $2.31 per share reported in the year-ago quarter. The sharp increase primarily reflected unrealized gains in the company’s equity securities portfolio.

Consolidated revenues jumped 24% year over year to $119.80 billion. Net revenues, excluding traffic acquisition costs, increased 26.8% year over year to $103.62 billion, surpassing the Zacks Consensus Estimate by 2.31%. Google Cloud’s 82% year-over-year growth and $514 billion backlog were key highlights in the reported quarter.

GOOGL’s Services Benefit From Search GrowthGoogle Services revenues increased 15% year over year to $94.54 billion. Segment operating income rose 20% to $39.54 billion, while the operating margin expanded to 41.8% from 40.1% reported in the year-ago quarter.

Google Search & other revenues climbed 17% year over year to $63.27 billion, with retail and finance making the largest contributions. Alphabet stated that AI-powered Search experiences continued to drive query growth. AI Mode surpassed one billion monthly active users after its global expansion.

YouTube advertising revenues advanced 13% to $11.06 billion, supported by direct-response and brand advertising. More than 1.7 billion unique viewers watched World Cup-related videos on YouTube, providing an additional boost to advertising demand.

Alphabet’s Cloud Business Accelerates SharplyGoogle Cloud revenues hit $24.77 billion. The strong year-over-year growth was driven by Google Cloud Platform, enterprise AI solutions, AI infrastructure and core services. The company also began recognizing revenues from TPU system sales to customer data centers.

Cloud operating income more than tripled to $8.81 billion from $2.83 billion reported in the year-ago quarter. The segment’s operating margin expanded to 35.6% from 20.7%, reflecting strong revenue growth and improved operating leverage.

Cloud backlog reached $514 billion, increasing by more than $50 billion sequentially. Alphabet expects to recognize slightly more than half of this backlog as revenues over the next 24 months. Nearly 90% of Fortune 100 companies now use Gemini Enterprise.

Alphabet’s AI Adoption Supports Core BusinessesGemini model APIs processed roughly 22 billion tokens per minute, up from more than 16 billion in the previous quarter. More than 9 million developers used Alphabet’s models each month, while nearly 500 Cloud customers processed more than one trillion tokens each over the past year.

The Gemini app reached 950 million monthly active users, with daily active users tripling year over year. Alphabet also reported strong adoption of Gemini-powered advertising tools, including AI Max and Performance Max.

Advertisers using these AI-powered campaigns generated an average of 15% more conversions or conversion value on Search at a similar return on advertising spending. Management remained encouraged by monetization on queries featuring AI Overviews and continued testing new ad formats within AI Mode.

GOOGL’s Operating Margin Expands Despite Rising CostsAlphabet’s operating income increased 30.4% year over year to $40.77 billion. The consolidated operating margin expanded 160 basis points to 34%, as revenue growth exceeded the increase in total costs and expenses.

Total costs and expenses rose 21% year over year to $79.03 billion. Research and development expenses increased 32% year over year to $18.22 billion, driven by AI-related hiring, compensation and depreciation. Sales and marketing expenses grew 18% year over year to $8.40 billion, while general and administrative expenses advanced 24% to $6.46 billion.

Other income totaled $97.98 billion compared with $2.66 billion a year earlier. The increase mainly reflected unrealized gains on equity securities and was the primary factor behind the outsized increase in net income and earnings per share.

GOOGL’s Cash Flow Faces Heavy Infrastructure SpendingAlphabet ended the second quarter of 2026 with $242.47 billion in cash, cash equivalents and marketable securities, while long-term debt stood at $98.17 billion.

Operating cash flow totaled $39.07 billion, up from $27.75 billion in the year-ago quarter. Capital expenditures doubled to $44.92 billion, with most spending directed toward servers, data centers and networking infrastructure for AI.

The elevated investment resulted in negative free cash flow of $5.86 billion. Trailing 12-month free cash flow was $53.27 billion.

Alphabet Raises Its 2026 Capital Spending ViewAlphabet raised its 2026 capital expenditure guidance to $195-$205 billion from $180-$190 billion. The increase reflects accelerated capacity deployment to meet demand for AI infrastructure and Cloud services.

Management expects capital expenditures to increase significantly again in 2027. Higher depreciation, data-center operating costs and energy expenses are expected to pressure profitability, while third-party capacity usage could create modest near-term pressure on Cloud margins.

Zacks Rank & Upcoming Earnings to WatchAlphabet currently sports a Zacks Rank #1 (Strong Buy).

Some other top-ranked stocks in the broader Zacks Computer and Technology sector that are set to report their quarterly results are Amphenol (APH - Free Report) , Bandwidth (BAND - Free Report) and Fortinet (FTNT - Free Report) . Amphenol, Bandwidth and Fortinet sport a Zacks Rank #1 each at present. You can see the complete list of today’s Zacks #1 Rank stocks here.

Amphenol, Bandwidth and Fortinet are set to report their second-quarter 2026 results on July 29. Year to date, shares of Amphenol, Bandwidth and Fortinet have returned 16.6%, 316.7% and 95.3%, respectively.
2026-07-23 19:03 4d ago
2026-07-23 12:54 4d ago
Alphabet: Record CapEx Is Paying Off And Accelerating The AI Supercycle
GOOGL Alphabet
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Investment Thesis

Negative FCF is only temporary

Image credit: Financial Times (Data: S&P Capital IQ, Bloomberg)

Consequently, in Q2 2026, GOOGL’s CapEx reached a record $44.9 billion, while growth to $50.4 billion is projected for the following quarter. At the same time, in one year, quarterly CapEx will reach $65.2 billion, whereas FCF will be -$1.2 billion.

Image credit: Author

Also, it’s worth noting that the company’s total debt increased from $90.5 billion to $112.7 billion. But this rise in debt is offset by an increase in cash reserves from $126.8 billion to $242.4 billion. However, this can hardly be called a positive development, since the increase in cash reserves was achieved by diluting shareholders’ equity. It is a significant shift for a company that frequently engages in share buybacks.

Image credit: Author

According to GOOGL’s CEO, though, no further stock offerings are expected. The next round of investments will be financed through operating cash flow, reserves, and debt. A big chunk of the investments is aimed at meeting the strong growth in demand for Google Cloud, which saw its order backlog increase from $460 billion to $514 billion.

Risks exist, but they will not alter the trajectory of development

The current upward revision to the CapEx forecast, though, is less a result of the need to scale the company’s AI infrastructure and more a result of rising prices for the equipment and components used to build the data centers themselves. The manufacturers of GPUs, TPUs, DRAM, optical and copper interconnects, as well as other components, are the beneficiaries of Alphabet’s latest report.

This means, for GOOGL, a definite increase in the cost of services and higher CapEx to expand the necessary AI infrastructure. Because of this, the company’s operating margin rose to 34%, even though many had predicted it would reach 40%. So, the temporary decline in business margins is not a hypothetical risk, it’s a real one.

Image credit: Author

Conclusion

Hence, key takeaways for investors include not only maintaining the “Buy” rating on GOOGL shares but also the emergence of a strong signal for the semiconductor and AI infrastructure markets. The shortage of components is driving up their prices, increasing margins for manufacturers. Therefore, a large portion of my portfolio consists of the aforementioned companies and other firms benefiting from the AI supercycle.

Analyst’s Disclosure: I have a beneficial long position in the shares of GOOGL either through stock ownership, options, or other derivatives. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it. I have no business relationship with any company whose stock is mentioned in this article.

Benzinga Disclaimer: This article is from an unpaid external contributor. It does not represent Benzinga’s reporting and has not been edited for content or accuracy.

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2026-07-23 19:03 4d ago
2026-07-23 12:58 4d ago
Alphabet and Tesla shares plunge as runaway AI spending spooks investors
GOOGL Alphabet
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Shares of Alphabet and Tesla took a beating Thursday after the tech giants said they would ramp up their already breakneck pace of artificial intelligence spending – rattling investors who are increasingly wary of whether the massive bets will pay off.  

Tesla shares fell 10% and Alphabet sank over 5%. The dismal trading day comes after Alphabet shares already closed 1.5% lower on Wednesday and Tesla closed down 1.3%.

Both companies warned of massive run-ups in spending: Alphabet raised its capital expenditure forecast for this year to $195 billion to $205 billion and said those figures could balloon even higher next year. The Google parent company previously projected capex between $180 billion and $190 billion.

Tesla CEO Elon Musk has ramped up AI spending ambitions. Getty Images Tesla said its capex surged 142% in the second quarter to $5.79 billion from the prior yearly period. The company said it anticipates more than $25 billion in capex this year.

At the same time investors have grown anxious about seemingly limitless AI spending, some companies have been hammered for not doing enough. Last week, for instance, IBM’s stock suffered its worst trading day since 1968 after the company admitted it had “faltered” in its AI strategy.

IBM CEO Arvind Krishna said the company “did not anticipate the magnitude of the capex reprioritization” that was happening across the tech industry.

Top brass at both Tesla and Alphabet rushed to calm investor jitters about their nosebleed figures.

“This is a massive capex year. I’m confident that all the things that we’re investing in will yield incredible returns. Really, maybe the best capex returns that we’ve ever seen,” Tesla CEO Elon Musk said on the earnings call on Wednesday, referring to capital expenditures, or spending.

Alphabet CEO Sundar Pichai has stressed his company lacks the computing capacity to meet AI demand. REUTERS Musk – who’s greatly skilled at getting investors optimistic about his lofty spending ambitions on moonshot projects –  touted Tesla’s future initiatives like its Optimus humanoid robot and semiconductor production efforts. Tesla is “installing the first-generation lines for Optimus,” and will “start production soon,” the company said in its earnings presentation.

Alphabet’s CEO Sundar Pichai meanwhile said his company’s spending increase “is primarily due to an acceleration in the delivery of capacity to meet growing demand.” The tech titan has stressed that it lacks the computing capacity to meet the AI demand that it is seeing.

“Investors appear to be focusing on the sharp rise in capital expenditure, alongside a weaker margin outlook, while continued delays to Gemini 3.5 Pro and a lack of standout product releases have raised questions about whether Alphabet’s AI investments are yet translating into a clear competitive advantage,” Ben Barringer, head of technology research at Quilter Cheviot, told CNBC.

The companies’ earnings did have some bright spots. Both companies logged negative free cash flow for the second quarter. Some of Google’s investments have shown signs of paying off with its cloud revenue jumping 82% to $24.8 billion, beating forecasts.

Tesla’s core automotive business logged $20.52 billion in revenue, up 23% year-on-year. REUTERS “This is one of the strongest revenue growth quarters that Alphabet has had in five years, and Alphabet is a really great barometer for this whole AI wave,” Alison Porter, portfolio manager at Janus Henderson, told CNBC’s “Squawk Box Europe” on Thursday.

“We think this look is … very encouraging for overall AI capex and also for the returns that these platforms are seeing on that spend,” Porter said.

Tesla’s automotive business logged $20.52 billion in revenue, up 23% year-on-year.
2026-07-23 19:03 4d ago
2026-07-23 13:00 4d ago
The Big 3: GOOGL, SKHY, IREN
GOOGL Alphabet
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@ProsperTradingAcademy's Charles Moon talks all about tech for his Big 3 picks Thursday. He sees opportunity in Alphabet (GOOGL) as the stock sells off after earnings, compares SK Hynix's (SKHY) setup to the Mag 7 giant's earnings reaction, and sees IREN (IREN) as a high-risk, high-reward opportunity.
2026-07-23 19:03 4d ago
2026-07-23 13:00 4d ago
Two Blowout Quarters, Two Selloffs: What Tesla and Alphabet Reveal About our Price Target
GOOGL Alphabet
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Two of the market’s most-watched companies reported blowout quarters on the same night, and both sold off anyway.

Tesla (NASDAQ:TSLA | TSLA Price Prediction) beat revenue by 7.10% yet missed EPS by 38.51%, while Alphabet (NASDAQ:GOOG) crushed EPS by 199.41%. Both stocks fell. Our 24/7 Wall St. price target says both selloffs are opportunities, but for very different reasons.

The Verdict: Two Blowouts, Two Buys Our 24/7 Wall St. price target for Tesla is $413.49, implying 10.56% upside from $374.01. Our 24/7 Wall St. price target for Alphabet is $545.95, implying 59.68% upside from $341.91. Both earn a buy at high confidence.

Metric Tesla Alphabet Current Price $374.01 $341.91 24/7 Wall St. Price Target $413.49 $545.95 Upside 10.56% 59.68% Recommendation BUY BUY Confidence 90% 90% Blowout Quarters, Cold Market Reception Tesla posted record deliveries of 480,126 vehicles and revenue of $28.24 billion (+25.52% YoY), but operating margin collapsed to 1.4% and free cash flow flipped to negative $1.09 billion. Shares are down 5.18% on the week and 16.83% year to date.

Alphabet’s Q2 revenue of $119.80 billion (+24.23%) was overshadowed by $44.92 billion in single-quarter capex, a suspended buyback, and roughly $70 billion in combined equity and debt raised.

The stock dropped 7.64% on the week even with Cloud growth accelerating to 82%. As Sundar Pichai put it, “Q2 was an amazing quarter, with Alphabet revenues growing 24% year-over-year and Google Cloud revenues accelerating to 82% growth.”

Bull and Bear Cases in Brief Tesla bulls point to 1.48 million FSD subscriptions (+56% YoY), a seven-metro robotaxi footprint, and Optimus production lines going in at Fremont. Our bull case is $479.66. Bears note capex ballooning 141.81% against collapsing margins; the bear case is $365.83. Polymarket’s crowd is skeptical, implying a $341.37 target, well below analyst consensus of $425.22. Multiple analysts lowered their price target on the stock. 

Act now: the analyst who called NVIDIA in 2010 just named his top 10 AI stocks — and Google didn't make the cut. Grab the names FREE today.

Alphabet bulls have 58 buy ratings and a consensus target of $430.07. Our bull case is $610.65, driven by Gemini’s 950 million MAUs and Cloud momentum. Raymond James analyst Josh Beck lowered the firm’s price target on Alphabet to $400 from $425 and keeps a Strong Buy rating on the shares. The bear case is $432.97, still above spot. Bears would argue negative FCF is unsustainable, though this reflects front-loaded AI infrastructure investment as the operating business remains highly profitable.

How They Stack Up Against Meta The right cross-check for Alphabet’s capex-driven selloff is Meta Platforms (NASDAQ:META), the other hyperscaler funding an AI arms race. Alphabet trades at a trailing P/E of 26, the cheapest mega-cap in the AI cohort, while Tesla’s 344 trailing multiple is in a different universe.

Meta faces the same investor pushback on AI spending, but Alphabet layers on 32.05% operating margins and 82% Cloud growth. Against this peer set, our $545.95 target for GOOG looks reasonable, and our $413.49 target for TSLA looks appropriately cautious.

Company Trailing P/E Latest Rev Growth Alphabet 26 24.23% Tesla 344 25.52% Meta Peer benchmark Peer benchmark The Bottom Line: Both Selloffs Look Overdone The 24/7 Wall St. model rates both buy, with higher conviction on Alphabet. The 24/7 Wall St. price target of $545.95 for GOOG reflects a rare combination of cheap multiples and accelerating growth.

Tesla at $413.49 is a narrower call: the thesis strengthens if robotaxi economics prove out, and remains more uncertain if operating margin stays below 5% into Q3.

Year TSLA Target GOOG Target 2026 $413 $546 2027 $445 $680 2028 $475 $820 2029 $505 $1,020 2030 $538 $1,228 These projections assume both companies continue executing on AI and autonomy strategies. Significant upside or downside could come from robotaxi commercialization at Tesla and Cloud share gains at Alphabet.

Act now: the analyst who called NVIDIA in 2010 just named his top 10 AI stocks — and Google didn't make the cut. Grab the names FREE today.

Contact [email protected] for any questions or corrections.
2026-07-23 19:03 4d ago
2026-07-23 13:01 4d ago
Alphabet-Heavy ETFs to Consider as Capex Woes Offset Cloud Strength
GOOGL Alphabet
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Key Takeaways Alphabet beat estimates, but rising AI capex overshadowed strong Cloud growth.Alphabet's Cloud revenues jumped 82% and operating income surged 212%.Alphabet lifted its 2026 capex outlook to $195-$205B, raising investor concerns. Alphabet (GOOGL - Free Report) came up with second-quarter 2026 earnings on July 22, after market close. Earnings of $9.11 per share surpassed the Zacks Consensus Estimate of $2.88 by a staggering 216.32%. The bottom line marked a remarkable improvement of 294.37% from earnings of $2.31 per share recorded in the same period last year.

The tech giant has a Zacks Rank #1 (Strong Buy) and a Momentum Score of A. As quoted on the tech giant’s earnings release, Alphabet and Google CEO Sundar Pichai described the June 2026 quarter as "amazing."

He also highlighted the growing adoption of Gemini Enterprise, noting that nearly 90% of the Fortune 100 companies are now using it. Pichai noted that Gemini models now process 22 billion API tokens per minute and the Gemini app boasts 950 million monthly active users.

However, GOOGL shares declined about 5% in pre-market trading on July 23. Despite delivering better-than-expected results, investors reacted negatively to the company's decision to raise its capital expenditure for 2026.

The move reinforces a broader trend across the technology sector, where investors have grown increasingly concerned about the escalating AI-related spending by Big Tech and increasing skepticism about the near-term payoff from AI investments. The tech giant's shares also came under pressure in pre-market trading amid investor concerns over reports of continued delays to its next flagship AI model, Gemini 3.5 Pro.

Snapshot of Q2 EarningsAlphabet posted revenues of $103.62 billion for the quarter ended June 2026, surpassing the Zacks Consensus Estimate of $101.28 billion by 2.31%. This marked a substantial increase of 26.79% from the year-ago quarter.

Alphabet’s net income for the quarter saw a substantial surge of about 297.59% from the year-ago quarter to $112.11 billion. The tech giant’s operating income for the quarter was $40.77 billion, which marked an increase of 30.38% from the year-ago quarter.

Segment SnapshotsSecond-quarter revenues from Google advertising reached $81.63 billion, up 14.42% from the year-ago quarter. The segment includes Google Search & other, YouTube ads and Google Network. Revenues from Google Search & other, which reached $63.27 billion in the second quarter, marked a rise of 16.76% from $54.19 billion in the year-ago quarter, while YouTube ad revenues increased 12.85%, to reach $11.06 billion in the second quarter.

Revenues from Google Services, which includes Google advertising and Google subscriptions, platforms and devices, increased 14.53% from the year-ago quarter, reaching $94.54 billion. Operating income from the segment reached $39.54 billion for the quarter ended June 2026, marking an increase of 19.6% from the prior-year figure of $33.06 billion.

Alphabet’s Google Cloud business witnessed a substantial surge, with operating income increasing to $8.81 billion, an impressive 211.89% increase from the prior-year figure of $2.83 billion. Revenues from the Cloud segment also witnessed a substantial rise of 81.79% year over year to $24.77 billion. The segment’s revenues surpassed the Zacks Consensus Estimate of $22.77 billion by 8.77%.

The rise in Google Cloud’s revenues was driven by an increase in Google Cloud Platform (GCP) across enterprise AI Solutions and enterprise AI Infrastructure, as well as core GCP services.

Capex Surge Remains a Key Investor ConcernAlphabet reported capital expenditures of $44.92 billion for the quarter ended June 2026, nearly doubling from $22.45 billion in the year-ago quarter. Through the first half of 2026, the company's capital expenditures totaled $80.59 billion.

As quoted on a Reuters article, according to the tech giant’s CFO Anat Ashkenazi, Alphabet also raised its full-year capital expenditure outlook. Speaking on a conference call with analysts, Ashkenazi stated that the company now forecasts capex of $195 billion to $205 billion this year, up from its previous guidance of $180 billion to $190 billion for 2026.

Ashkenazi reaffirmed that Alphabet expects another meaningful step-up in capital expenditures in 2027. According to the abovementioned Reuters article, despite being one of the best-performing Magnificent Seven stocks this year, Alphabet's shares have come under pressure since late April amid concerns over delays to Gemini, high-profile executive departures and rising regulatory scrutiny.

Alphabet’s Stock OutlookAlphabet currently has an average brokerage recommendation (ABR) of 1.25 on a scale of 1 to 5 (Strong Buy to Strong Sell), calculated based on the actual recommendations made by 55 brokerage firms. The current ABR compares to an ABR of 1.29 a month ago based on 55 recommendations.

Of the 55 recommendations deriving the current ABR, 46 are Strong Buy and four are Buy. Strong Buy and Buy, respectively, account for 83.64% and 7.27% of all recommendations. A month ago, Strong Buy made up 81.82%, while Buy represented 7.27%, indicating that the majority of the analysts remain bullish.

Based on short-term price targets offered by 51 analysts, the average price target for Alphabet comes to $434.82, ranging from a low of $365.00 to a high of $515.00. The average price target represents an increase of 27.11% from the last closing price of $342.09 (as of market close on July 22).

ETFs to Explore

Here, we have highlighted ETFs with heavy exposure to Alphabet.

Global X PureCap MSCI Communication Services ETF (GXPC - Free Report) has an exposure of 31.45% to GOOGL.

VanEck Communication Services TruSector ETF (TRUC - Free Report) has an exposure of 14.28% to GOOGL.

Vanguard Communication Services ETF (VOX - Free Report) has an exposure of 14.4% to GOOGL.

Fidelity MSCI Communication Services Index ETF (FCOM - Free Report) has an exposure of 14.28% to GOOGL.

iShares Global Comm Services ETF (IXP - Free Report) has an exposure of 12.22% to GOOGL.
2026-07-23 19:03 4d ago
2026-07-23 13:15 4d ago
Alphabet Accelerates Its AI Investment
GOOGL Alphabet
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Google's parent company Alphabet raised the top end of its CapEx plan for this year to $205 billion, but discipline on spending is becoming a concern. Eric Sheridan, Goldman Sachs co-business unit leader of its Technology, Media and Telecommunications Group in global investment research, says Alphabet is well positioned to benefit from the growing demand for AI across both consumer and enterprise markets.
2026-07-23 19:03 4d ago
2026-07-23 13:20 4d ago
EU hits Google with $1 billion fine over its Play app store and search
GOOGL Alphabet
FMP Stock News
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A woman walks by a giant screen displaying the Google logo at an event at the Paris Google Lab on the sidelines of the AI Action Summit in Paris, Feb. 9, 2025. Credit: AP Photo/Thibault Camus, File The European Union on Thursday hit Google with a fine of 890 million euros ($1 billion) after it said the technology behemoth broke digital antitrust regulations by setting up Google Play and its ubiquitous search engine to corral consumers towards its own services and apps to the detriment of competitors.

It was the latest major crackdown on Big Tech by Brussels, which has led the world in reining in some of the world's largest companies from Silicon Valley to Beijing.

Google had recently lost its appeal of a $4.5 billion antitrust fine imposed for throttling competition and reducing consumer choice through the dominance of its mobile Android operating system.

The European Commission, the bloc's executive branch, said it was acting in the interest of consumers.

"The best products should succeed because they're better, not because they're owned by the company running the search engine. And European consumers have a right to be told by app developers where to sign up to the best offers, even when the app store owner does not get a cut," said Teresa Ribera, the commission's Executive Vice President for Clean, Just and Competitive Transition.

Google's President of Global Affairs Kent Walker blasted the fine as "product degradation driven by a small group of self-serving complainants" that will negatively impact European businesses and consumers.

He said that the EU's Digital Markets Act forces Google "to strip away real-time search features Europeans love—like instant pricing and direct availability for hotels, flights, and restaurants—and dismantle safety protections on Google Play."

"In the EU, businesses have the right to compete fairly. Gatekeepers have the obligation to ensure a level playing field and consumers the right to choose for cheaper alternative offers," European Commission spokesperson Thomas Regnier said.

Who's behind this story?

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2026-07-23 19:03 4d ago
2026-07-23 14:00 4d ago
GOOGL Raises CapEx to $195B: Can AI ROI Balance Big Tech Spending?
GOOGL Alphabet
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Tony Zipparro and Ben Connard break down their biggest takeaways from Alphabet's (GOOGL) earnings, including the Mag 7 firm's decision to raise CapEx to $195 billion from $180-$190 billion. They also explore the key drivers that could fuel Alphabet's future growth, like Google cloud, which showed an 82% revenue increase year-over-year.
2026-07-23 19:03 4d ago
2026-07-23 14:24 4d ago
The AI boom didn't stop Google from hiring nearly 12,000 people
GOOGL Alphabet
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The AI boom didn't stop Google from hiring nearly 12,000 people By You're currently following this author! Want to unfollow? Unsubscribe via the link in your email.

and Madison Hoff You're currently following this author! Want to unfollow? Unsubscribe via the link in your email.

Google CEO Sundar Pichai. Benjamin Fanjoy/Getty Images As companies make rounds of job cuts and double down on AI spend, Google's parent company Alphabet is expanding its workforce.

Alphabet reported blockbuster second-quarter earnings, with revenue climbing 24% year over year to $119.8 billion. The company revealed in its earnings report that it increased head count by 11,830 employees, from 187,103 to 198,933, between June 30, 2025 and June 30, 2026.

The chart below shows how Alphabet's workforce has grown from the end of the first quarter of 2025 through the end of the second quarter of 2026.

The biggest jump in Alphabet's head count of the last couple of years came in the second quarter of 2026, when the company added over 4,000 workers, accounting for more than one-third of net hiring over the past year.

Since 2022, companies including Google, Meta, Amazon, and Microsoft have cut thousands of jobs. Google laid off 12,000 employees in 2023 and has conducted several smaller rounds of cuts since, impacting thousands of employees in total.

Google employees from around the country rallied last week to demand stronger protections against layoffs. Roughly 4,500 employees signed a petition about job security addressed to CEO Sundar Pichai and three senior executives at the tech giant.

While Google didn't share which roles it has hired more of over the last year, the company said in its earnings on Thursday that it's prioritizing long-term AI growth and doubling down on its AI buildout.

The tech giant raised its 2026 capital expenditure outlook to between $195 billion and $205 billion, up from a previous estimate of up to $190 billion. The company said its demand for AI infrastructure continues to outpace available capacity.

Read next

Ana Altchek You're currently following this author! Want to unfollow? Unsubscribe via the link in your email.

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Madison Hoff is a reporter on Business Insider’s economy team. She covers the labor market, inflation, spending, and other data. In addition to covering new estimates and trends, her workforce reporting includes career pivots, job searching, and side hustles.She also covers downsizing, particularly people selling their houses to pursue RV living. She has also reported on how much teachers spend out of pocket and what it’s like being a caregiver.Her stories often cover the state of the economy, what experts are saying, and how people are navigating the workplace or their careers.Previously, she was a junior reporter and data editorial fellow on the Strategy team.A few of her stories:

Job-market trend: Welcome to the 'Great Freeze': Why companies aren't firing, workers can't grow, and the unemployed can't get jobsJob-market trend: Everyone's focused on AI — but it's aging Americans who are quietly rewiring the job marketCareer pivot: I retired early from my federal job and took a part-time job at TJ Maxx. I'm happier and less stressed.Downsizing/RV living: An empty-nester couple who traded in a $400K house for an $80K RV explain their favorite parts of retirement on the roadJob searching: People who haven't had steady work for at least a year are networking, doing temporary jobs, and soul-searchingSide hustles: A millennial who used side hustles to pay off debt explains the lucrative and easy ones she recommendsTeacher spending: A teacher who spent more than $5,000 of her own money to make a cozy classroom explains why it helps kids learn Google AI Tech More Layoffs
2026-07-23 19:03 4d ago
2026-07-23 14:38 4d ago
Alphabet's $200 Billion AI Binge Has Killed Its Stock Buyback Machine
GOOGL Alphabet
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GOOG stock is down after earnings. See the chart and price action here.  A 33-Quarter Buyback Streak EndsAlphabet bought no stock in Q1, breaking a 33-quarter run, and Q2 confirmed this was a strategic reset, not a temporary pause. 

Repurchases remained at zero, compared with $13.24 billion in the same quarter last year. Across the first half, Alphabet repurchased nothing after spending $28.31 billion during the comparable 2025 period.

The buyback halt was not caused by an exhausted authorization. A sizable balance remained available when 2026 began, giving management ample room to continue repurchases. Instead, Alphabet redirected cash toward the escalating infrastructure demands of AI.

AI Spending Overwhelms Cash FlowCapital expenditures rose from $27.85 billion in Q4 2025 to $35.67 billion in Q1 2026. They then jumped to $44.92 billion in Q2. Quarterly capex exceeded $39.07 billion in operating cash flow, pushing free cash flow to negative $5.86 billion.

The trajectory is becoming steeper. Alphabet raised its 2026 capex outlook to $195 billion to $205 billion, up from $180 billion to $190 billion. The new range carries a $200 billion midpoint, matching the headline figure.

On the company’s earnings call, management said technical-infrastructure investment would continue pressuring free cash flow.

Shareholder Returns Take a Back SeatThis marks a dramatic reversal in capital allocation. Alphabet repurchased $45.71 billion of stock in 2025, after spending $62.222 billion in 2024 and $61.5 billion in 2023. 

Buybacks had steadily reduced the share count and helped absorb dilution from employee compensation. They also provided a recurring source of demand for the stock.

Now, servers, chips, networking gear and data centers have moved ahead of financial engineering. The shift reflects confidence in AI demand, but it also raises the hurdle for returns. Alphabet must generate enough incremental revenue and profit to justify spending on a historic scale.

The Bottom LineFor shareholders, the immediate equation has changed. Less cash is supporting the stock through repurchases, while more cash is locked into long-lived infrastructure. Depreciation and operating costs will follow as those assets enter service.

Alphabet’s buyback machine did not slow because the company ran out of authorization — it stopped because AI became the priority. 

After two consecutive quarters at zero, the evidence points to a new capital-allocation regime, with shareholder returns taking a back seat to the largest infrastructure buildout in Alphabet’s history.

GOOG Stock Price Activity: Alphabet shares were down 6.16% at $320.86 at the time of publication Thursday, according to Benzinga Pro.

Over the past month, GOOG has declined about 5.7% versus a 0.7% rise in the S&P 500 and is up roughly 1% year-to-date compared to the index’s 7.7% gain.

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2026-07-23 19:03 4d ago
2026-07-23 12:12 4d ago
Amazon Faces Senate Probe Over Alleged China Influence
AMZN Amazon
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Amazon (AMZN, Financials) is the e-commerce and cloud computing giant now under scrutiny by the U.S. Senate for suspicions that Chinese influence had a role in decisions made about its online marketplace.

A source citing people involved in the inquiry said Republican aides on the Senate Small Business Committee said they uncovered evidence of potential negligence related to China-based activities.

The investigation comes after reports that Amazon employees in China were allegedly selling favors to merchants who wanted to get better treatment on the platform.

One inventor told committee researchers that an intermediary promised to leverage connections with Amazon workers in China to assist fix marketplace problems in exchange for money.

The allegations challenge Amazon's control of third-party merchants, which constitute around 60% of the products sold on the platform.

Some shops have complained for years about unexpected suspensions, inconsistent enforcement and difficulty appealing penalties. Those challenges produced the need for middlemen who say they have access to internal decision-making.

The probe comes on top of wider regulatory challenges facing Amazon, including antitrust claims and allegations of deceptive business practices. The corporation has denied any misconduct in those cases.

Now investors will watch to see if the Senate committee would seek testimony, documents or policy changes from Amazon.
2026-07-23 19:03 4d ago
2026-07-23 13:36 4d ago
Alphabet Just Tied Amazon's $200 Billion Capex Guidance. Could Amazon Raise the Bar Even Higher on July 30?
AMZN Amazon
FMP Stock News
Original source text
Big tech companies and spending on artificial intelligence and its infrastructure have been one of the biggest stories in the stock market this year, ever since Amazon (AMZN -4.53%), Alphabet (GOOG -6.68%) (GOOGL -6.80%), Microsoft, and Meta Platforms disclosed plans to spend $700 billion on capital expenditures this year.

Of that, Amazon was the biggest spender at $200 billion, with Alphabet close behind at $185 billion. But in the company’s second-quarter earnings call with analysts, Alphabet executives announced plans to join Amazon in the $200 billion club, spending its capex primarily on servers, connectivity, storage, and memory for data centers.

Alphabet stock fell 6% the next day. Will Amazon also raise its capex spending when it reports earnings on July 30? And just as importantly, will Amazon stock face the same fate as Alphabet?

Image source: Amazon.

Why is Alphabet raising capex?Alphabet, the parent company of Google, spent $44.9 billion on capex in the second quarter, with 60% of that on servers and 40% on data centers and networking equipment. It had previously projected full-year capex to be in a range of $180 billion to $190 billion; it now anticipates spending between $195 billion and $205 billion.

“We're still in a supply constraint environment. I think we've said this now for multiple quarters in a row, we are seeing very strong demand, both from external cloud customers as well as across the business. Our goal is to invest as long as we see an attractive return on that investment,” CFO Anat Ashkenazi said.

In short, Alphabet says that demand is outpacing computing capacity, even though Alphabet is accelerating its spending.

Overall earnings for Alphabet were exceptionally strong, with revenue of $119.79 billion, up 24% from a year ago. Google Cloud revenues were $24.76 billion, up 82% from a year ago.

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How likely is it for Amazon to also raise capex?I believe it’s very likely. First, consider that Amazon is a much larger cloud provider than Alphabet. Amazon Web Services has the greatest global share of the cloud computing market at 28%, followed by Microsoft at 21% and Google Cloud at 14%.

Second, Amazon has been very public and bullish about its capex. In a letter to shareholders in April, CEO Andy Jassy posted a lengthy statement on Amazon’s website justifying the company’s planned spending and saying it would be a “meaningful leader” in AI.

We’re not investing approximately $200 billion in capex in 2026 on a hunch. The recent OpenAI commitment (over $100 billion) is an example of this, but there are several other customer agreements completed (and unannounced), or deep in process. Of the AWS capex we expect to spend in 2026, much of which will be monetized in 2027-2028, we already have customer commitments for a substantial portion of it. And third, there are indications that major hyperscalers are accelerating their AI spending. BNP Paribas analyst Stefan Slowinski recently predicted in an investor report that Microsoft, the No. 2 cloud computing company by market share, would spend a whopping $262 billion on capex in its 2027 fiscal year. (Microsoft reports its fiscal fourth quarter and full year 2026 earnings on July 29, but the company had previously disclosed $104.3 billion in capex spending through its first three quarters.)

What to expect from Amazon’s earningsFirst, I would be shocked if Amazon did not increase its projected capex, but I also expect the market to react poorly because of it. Investors are very focused on the pressure big tech’s capex spending is putting on free cash flow, and I understand why there are concerns that Alphabet, Amazon, and the rest won’t be able to realize a profit from all this spending.

But as Jassy points out, Amazon isn’t spending blindly. As long as Amazon’s spending and planned investment are backed by customer commitments and the demand for more computing power exists, then Amazon looks to be a long-term winner. Any dip in the stock following earnings could be an appealing opportunity to acquire more shares.
2026-07-23 19:03 4d ago
2026-07-23 14:33 4d ago
Why is Amazon stock falling 4% today?
AMZN Amazon
FMP Stock News
Original source text
Amazon.com Inc. AMZN shares fell about 4% in trading on Thursday after a report said a US Senate panel is investigating whether the company allowed China to exert undue influence over its online marketplace.

According to Bloomberg, Republican staff members on the Senate Small Business Committee have been examining potential “Amazon negligence related to Chinese influence” and have uncovered “compelling evidence,” citing committee correspondence and interviews.

The reported investigation adds to Amazon’s existing regulatory challenges, including antitrust lawsuits and allegations of deceptive business practices, both of which the company has denied.

The latest inquiry expands scrutiny of the e-commerce giant beyond domestic competition issues to its international marketplace operations.

The congressional investigation follows a Bloomberg report describing an international bribery network involving Amazon employees based in China.

According to the report, some employees allegedly accepted payments from merchants in exchange for administrative favors and competitive advantages on Amazon’s marketplace.

As part of the investigation, committee researchers interviewed independent merchant Jack Nekhala, a Staten Island inventor who sells mattress sheet fasteners.

Nekhala said he shared recordings of conversations with an intermediary who claimed to have contacts among Amazon employees in China capable of manipulating seller accounts in exchange for payment.

Committee researchers were particularly interested in understanding how employees based in China could influence Amazon’s marketplace, according to Nekhala.

Another individual who works with Amazon sellers told Bloomberg that committee staff also requested referrals to additional merchants for interviews, although the person declined to be identified because they were not authorized to discuss the committee’s work.

Third-party sellers and broader regulatory scrutiny remain in focusIndependent third-party merchants account for roughly 60% of products sold through Amazon’s online marketplace.

According to the report, many sellers have long complained about unexpected account suspensions, arbitrary enforcement actions and limited access to effective customer support.

Some merchants have reportedly turned to intermediaries offering connections to Amazon insiders who could reverse suspensions or restore product listings in exchange for payments.

The latest investigation comes as Amazon continues to reshape parts of its business.

On July 22, the company confirmed workforce reductions within its core Artificial General Intelligence (AGI) division following broader layoffs affecting approximately 16,000 employees earlier this year.

Amazon said the latest cuts were intended to streamline operations and redirect resources toward projects delivering direct customer value and commercial impact.

Internal communications indicated that role reductions primarily affected teams within AGI Data Services and AGI Information. The company's AGI division includes work on Nova foundation models, custom AI chips and quantum computing hardware.

Wall Street analysts were broadly positive on Amazon before the development.

Citi analyst Ronald Josey reiterated a Buy rating on July 16 with a $325 price target. KeyBanc also maintained a Buy rating the same day, assigning a $335 price target.

According to TipRanks data, the broader analyst consensus remains a Strong Buy, with an average price target of $318.98, representing an implied upside of approximately 36.41% from current levels.
2026-07-23 19:02 4d ago
2026-07-23 13:08 4d ago
I'm Buying ‘Fully Priced' AMD Because The Math Says I Should
AMD AMD
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© Adansijav Official / Shutterstock.com

I keep hitting the buy button on Advanced Micro Devices (NASDAQ:AMD | AMD Price Prediction) even though the trailing P/E stares back at me at 207, and I want to explain why in plain terms. My conviction here rests on hyperscalers refusing to let one vendor own 85% of the AI accelerator market forever. The anti-monopoly math only requires AMD to be the credible number two, and the receipts say it already is.

The Anti-Monopoly Math The consensus $11.50 to $16.00+ EPS target for 2027/2028 only requires AMD to hold a 7% to 12% merchant accelerator share, and roughly 12% to 15% of the multi-GPU rack-scale tier, while the total addressable market keeps expanding and EPYC keeps taking server CPU share. Hyperscalers have a self-interest to fund exactly that outcome, because a single-vendor supply chain is a boardroom liability. So they are writing the checks. Meta committed to up to 6 GW of AMD Instinct GPUs. OpenAI signed on as a core preferred partner for 6 gigawatts. Oracle is building a 50,000-GPU AI supercluster on the AMD Helios rack design. That is the second-source demand curve showing up in ink.

The Data Behind the Conviction Q1 FY2026 revenue landed at $10.25 billion, up 37.9% YoY, with Data Center alone at $5.775 billion, up 57% YoY. Non-GAAP EPS of $1.37 beat the $1.29 consensus, extending a streak in which four of the last five quarters cleared the bar. FY2025 free cash flow reached $5.519 billion, up 129.48%, and Q2 2026 guidance calls for revenue of roughly $11.2 billion, about 46% YoY growth. The balance sheet backs the ambition: net debt/EBITDA of -0.16 and interest coverage of 28.2x. That is a net-cash company funding its own hyperscaler pursuit.

Why Not the Obvious Alternative NVIDIA (NASDAQ:NVDA) is the reflex trade. I own it too. I am not adding to it here because the anti-monopoly thesis is the mirror image of NVIDIA’s dominance, and the growth math already sits on a larger base. NVIDIA’s stock is up 27.13% over one year. AMD’s is up 256.99% over the same window, because the market is repricing the second source. Intel (NASDAQ:INTC) is the other name people mention, and I pass because AMD’s net margin of 12.5% and FCF growth of 252.96% YoY sit on the opposite side of Intel’s well-known margin struggles, while EPYC keeps winning sockets at AWS, Google Cloud, Azure and Tencent.

The Real Risk China export controls are the real one. The MI308 restrictions cost AMD roughly $800 million in Q2 25 inventory charges and about $440 million net for FY2025. That is not a rounding error. I keep buying anyway because the Meta, OpenAI, and Oracle commitments are non-China demand, and the domestic hyperscaler pipeline is what the valuation is discounting.

Forward Conviction The forward P/E of 70 is rich, and I do not pretend otherwise. But if AMD merely holds its second-source seat while the AI TAM keeps compounding, the earnings arrive. Until a hyperscaler cancels a gigawatt, my buy button stays active.

Act now: the analyst who called NVIDIA in 2010 just named his top 10 AI stocks — and AMD didn't make the cut. Grab the names FREE today.

Contact [email protected] for any questions or corrections.
2026-07-23 19:02 4d ago
2026-07-23 13:30 4d ago
Astera Labs vs. Advanced Micro Devices: What the Revenue Trajectories of These Artificial Intelligence Companies Reveal to Investors.
AMD AMD
FMP Stock News
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Astera Labs: Consistent Revenue IncreasesAstera Labs (ALAB -3.07%) develops and markets semiconductor-based connectivity solutions for cloud computing and artificial intelligence infrastructure.

It expanded its operations in Taiwan in June 2026, while reporting a net income margin of 26% for the quarter ended March 31, 2026.

Advanced Micro Devices: Managing Massive ScaleAdvanced Micro Devices (AMD -3.21%) primarily generates revenue by developing microprocessors, chipsets, and graphics processing units for various hardware clients.

It committed over $10 billion to the Taiwan ecosystem in May 2026, and reported an EBIT margin of 14% for the quarter ended March 28, 2026.

Why Revenue Matters for Retail InvestorsRevenue represents the total money a business brings in before any expenses are subtracted. This metric helps investors measure a company’s overall size, market footprint, and long-term trajectory.

Quarterly Revenue for Astera Labs and Advanced Micro DevicesQuarter (Period End)Astera Labs RevenueAdvanced Micro Devices RevenueQ2 2024$76.8 million (period ended June 2024)$5.8 billion (period ended June 2024)Q3 2024$113.1 million (period ended Sept. 2024)$6.8 billion (period ended Sept. 2024)Q4 2024$141.1 million (period ended Dec. 2024)$7.7 billion (period ended Dec. 2024)Q1 2025$159.4 million (period ended March 2025)$7.4 billion (period ended March 2025)Q2 2025$191.9 million (period ended June 2025)$7.7 billion (period ended June 2025)Q3 2025$230.6 million (period ended Sept. 2025)$9.2 billion (period ended Sept. 2025)Q4 2025$270.6 million (period ended Dec. 2025)$10.3 billion (period ended Dec. 2025)Q1 2026$308.4 million (period ended March 2026)$10.3 billion (period ended March 2026)Data source: Company filings. Data as of July 17, 2026.

Foolish TakeAstera Labs and Advanced Micro Devices (AMD) are two of the biggest beneficiaries of artificial intelligence’s arrival into the mainstream. AMD’s revenue towers over Astera Labs, illustrating the massive demand for its advanced semiconductor chips used in AI systems.

That said, Astera Labs is growing faster. Its first-quarter revenue of $308.4 million represented a whopping 93% year-over-year increase. This demonstrates how its connectivity solutions are quickly becoming critical components of AI infrastructure.

Astera Labs expects sales to continue accelerating. It forecasted revenue in a range between $355 million to $365 million for Q2. The increase in data centers to expand AI capacity is contributing to the company’s incredible revenue growth.

AMD is no slouch, however. The sales of $10.3 billion in its latest quarter is an outstanding 38% year-over-year increase. It expects to reach revenue of $11.2 billion in the second quarter. On July 22, the company announced a new deal with AI giant Anthropic, and a separate announcement of an expanded partnership with Microsoft on July 20. These reveal that AMD’s sales are likely to see continued growth.

Robert Izquierdo has positions in Advanced Micro Devices, Astera Labs, and Microsoft. The Motley Fool has positions in and recommends Advanced Micro Devices and Microsoft. The Motley Fool recommends Astera Labs. The Motley Fool has a disclosure policy.
2026-07-23 19:02 4d ago
2026-07-23 13:35 4d ago
AMD takes a shot at Nvidia by betting on AI's next big shift
AMD AMD
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AMD president and CEO Lisa Su. Leon Neal/Getty Images AMD is making a bet about the future of AI: one chip shouldn't rule them all.

CEO Lisa Su announced Thursday that AMD is teaming up with chip startup Cerebras on a new approach to AI inference, which is the process of generating responses from AI models.

Increasingly, chipmakers are pursuing "disaggregated inference," which splits workloads across different types of hardware. AMD's partnership with Cerebras shows the company is betting big on this approach.

Traditionally, the same hardware handled both processing a prompt and generating an answer. AMD argues those are fundamentally different jobs. Helios, its latest server system, is designed to process huge volumes of requests, whereas Cerebras' giant, wafer-sized chip specializes in generating near-instantaneous responses.

The partnership will bring Helios into Cerebras' data centers later this year.

Demand for chips from companies like AMD, Nvidia, and Broadcom has skyrocketed in the AI boom. Nvidia dominates chip design for AI training, and the competition has intensified as AI companies shift focus from training models to putting them to work.

The AMD and Cerebras pact aligns with a broader shift that analysts say is already underway, with UBS writing in June that the limitations of current architectures "are driving a shift toward disaggregated inference."

UBS wrote that Nvidia — through its integration of AI hardware startup Groq — and Amazon Web Services are also pursuing similar setups to improve efficiency and lower costs. That said, UBS wrote that disaggregated inference presents new challenges around "orchestration" — or getting different chips to work together seamlessly.

At Advancing AI, AMD unveiled Helios, its latest server system that bundles several types of AI chips, which is its answer to Nvidia's Vera Rubin NVL72 rack. AI labs and cloud giants using AMD's infrastructure include OpenAI, Meta, Microsoft, Oracle, and Anthropic, with which AMD announced a multibillion-dollar infrastructure partnership on Wednesday.

AMD also used the event to take direct aim at Nvidia, claiming that Helios delivers up to 30% more inference tokens per dollar than Nvidia's Vera Rubin NVL72 rack.

"Every Helios can deliver more performance for the largest models, more capacity for longer context, and the bandwidth to scale across thousands of racks," Su said Thursday at AMD's Advancing AI event.

Have a tip? Contact this reporter via email at [email protected] or Signal at @geoffweiss.25. Use a personal email address, a nonwork WiFi network, and a nonwork device; here's our guide to sharing information securely.

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Geoff Weiss You're currently following this author! Want to unfollow? Unsubscribe via the link in your email.

Geoff Weiss is a senior reporter on Business Insider’s tech team, where he writes about AI startups and Y Combinator, the intersection of AI and the media industry, and workplace dynamics within top AI labs and chip companies.Previously, Geoff was on the media desk, covering YouTube and Netflix, and themes like the intersection of Hollywood and the creator economy. His work on Netflix’s video podcasting ambitions and Mr Beast’s lessons for Hollywood won second and first prize, respectively, at the 2025 LA Press Club Awards.Prior to joining Business Insider, Geoff was the senior editor of Tubefilter and a staff writer at Entrepreneur. He graduated from New York University with a degree in English Literature.He can be reached at [email protected], on Signal @geoffweiss.25, and on LinkedIn. Have a tip? Use a personal email address and a nonwork device; here's our guide to sharing information securely.Selected stories:Nvidia crushed its quarter — and CEO Jensen Huang said in a leaked all-hands that 'the market did not appreciate it'Nvidia will foot the bill for Trump's new visa fees. Here's what CEO Jensen Huang told staff.Massive AI salaries and RTO are fueling a real estate boom in San Francisco: 'It's going to rain money'The AI talent wars are ricocheting across startups. Here's how they're competing with Big Tech.

Artificial Intelligence AI Stocks More Stock Market Data Centers
2026-07-23 19:02 4d ago
2026-07-23 13:45 4d ago
AMD and Cerebras Announce Industry-Leading Ultra-Low-Latency and High Throughput AI Inference Solution
AMD AMD
FMP Stock News
Original source text
News Highlights 

AMD and Cerebras are collaborating to advance a workload-optimized approach to ultra-low-latency AI inference infrastructure.  AMD Helios™ and the Cerebras Wafer-Scale Engine will operate as a single disaggregated inference workflow, combining ultra-high-throughput from AMD Instinct™ GPUs, with ultra-fast token generation of Cerebras Wafer-Scale Engine.Cerebras plans to deploy AMD Helios in its data centers, with the joint solution expected to be available first through Cerebras Cloud in the second half of 2026. 
SAN FRANCISCO and SUNNYVALE, Calif., July 23, 2026 (GLOBE NEWSWIRE) -- AMD (NASDAQ: AMD) and Cerebras Systems (NASDAQ: CBRS) announced a technical partnership to deliver a new disaggregated AI inference solution that combines AMD Helios™ rackscale solutions with the Cerebras Wafer-Scale Engine. Unveiled at Advancing AI 2026, the solution is designed to deliver the ultra-low latency required for the most advanced AI applications while dramatically increasing the throughput and efficiency. 

The joint AMD and Cerebras solution will deploy AMD Helios alongside Cerebras Wafer-Scale Engine technology integrated in a single inference workflow for maximum performance and efficiency. AMD Helios will provide a high-performance, scalable throughput engine. Cerebras Wafer-Scale Engine technology will provide ultra-fast, ultra-low latency decode and token generation. Together, the two compute engines are expected to deliver up to 5x higher tokens per second per watt (T/s/W) i. 

AI inference workloads increasingly have different requirements across latency, throughput, token capacity, cost and scale. High-volume workloads prioritize maximizing token generation, while coding, real-time copilots, live agents and agentic workflows demand faster response times. These differences are driving demand for heterogeneous infrastructure that matches compute technologies to specific workload requirements.  

The AMD and Cerebras solution addresses this challenge through disaggregated inference, optimizing the two primary stages of the workflow independently. AMD Helios provides ultra-high throughput, processing prompts and large context windows. The Cerebras Wafer-Scale Engine accelerates the memory-bandwidth-intensive token generation, with ultra-low latency. By connecting these best-in-class engines through one integrated workflow, the companies are creating a differentiated platform for ultra-low-latency inference without sacrificing throughput or scale. 

“AI inference is becoming one of the largest infrastructure opportunities in AI, and its growing diversity requires a more flexible approach,” said Dr. Lisa Su, chair and CEO, AMD. “AMD Helios delivers leadership performance and scale for the broadest range of inference workloads. Together with Cerebras, we are extending that leadership into the most latency-sensitive applications and creating a powerful new platform for real-time agentic AI.”   

 “The demand for ultra-fast inference is growing at an unprecedented pace. Cerebras delivers the world’s fastest, ultra-low-latency inference,” said Andrew Feldman, CEO and co-founder, Cerebras. “Partnering with AMD gives us an incredible opportunity to bring that performance to even more customers.” 

Fast token generation is becoming increasingly important as AI moves into software development, autonomous agents, robotics, scientific discovery and other applications where response time directly shapes the user experience and the usefulness of the system. The joint solution brings together complementary architectures purpose-built for these demands.  

AMD Helios provides the high-throughput prompt engine, rack-scale efficiency and deployment scale required to process large numbers of complex requests. Cerebras Wafer-Scale Engine technology provides the ultra-low-latency and decode performance needed to return tokens in real time. The result is a solution designed specifically for the ultra-low-latency segment of the inference market, with AMD Helios as the foundation for high-throughput and balanced inference workloads across the data center. 

Cerebras plans to deploy AMD Helios systems in its data centers, with the joint solution expected to become available initially through Cerebras Cloud in the second half of 2026.  

Supporting Resources

Follow AMD at Advancing AI 2026 (Press Kit)Learn more about AMD Helios™ rackscale solutionLearn more about AMD Instinct™ AcceleratorsConnect with AMD on LinkedInFollow AMD on XLearn more about the Cerebras Wafer-Scale EngineConnect with Cerebras on LinkedIn | Follow Cerebras on X
About AMD
AMD (NASDAQ: AMD) drives innovation in high-performance and AI computing to solve the world’s most important challenges. Today, AMD technology powers billions of experiences across cloud and AI infrastructure, embedded systems, AI PCs and gaming. With a broad portfolio of AI-optimized CPUs, GPUs, networking and software, AMD delivers full-stack AI solutions that provide the performance and scalability needed for a new era of intelligent computing. Learn more at www.amd.com.

About Cerebras Systems

Cerebras Systems (NASDAQ: CBRS) builds the world’s fastest AI infrastructure. The Cerebras team of pioneering computer architects, computer scientists, AI researchers, and engineers of all types came together to make AI blisteringly fast through innovation and invention. We believe that when AI is fast, it will change the world. Leading global corporations, research institutes, and governments choose Cerebras to run their AI workloads. Cerebras solutions are available on premises and in the cloud. Visit cerebras.ai for more.

AMD CAUTIONARY STATEMENT

This press release contains forward-looking statements concerning Advanced Micro Devices, Inc. (AMD) such as the features, functionality, performance, availability, scalability, deployment, timing and expected benefits of AMD’s collaboration and joint solution with Cerebras, which are made pursuant to the Safe Harbor provisions of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are commonly identified by words such as "would," "may," "expects," "believes," "plans," "intends," "projects" and other terms with similar meaning. Investors are cautioned that the forward-looking statements in this press release are based on current beliefs, assumptions and expectations, speak only as of the date of this press release and involve risks and uncertainties that could cause actual results to differ materially from current expectations. Such statements are subject to certain known and unknown risks and uncertainties, many of which are difficult to predict and are generally beyond AMD's control, that could cause actual results and other future events to differ materially from those expressed in, or implied or projected by, the forward-looking information and statements. Material factors that could cause actual results to differ materially from current expectations include, without limitation, the following: impact of government actions and regulations such as export regulations, import tariffs, trade protection measures, and licensing requirements; competitive markets in which AMD’s products are sold; the cyclical nature of the semiconductor industry; market conditions of the industries in which AMD products are sold; AMD’s ability to introduce products on a timely basis with expected features and performance levels; loss of a significant customer; economic and market uncertainty; quarterly and seasonal sales patterns; AMD's ability to adequately protect its technology or other intellectual property; unfavorable currency exchange rate fluctuations; ability of third party manufacturers to manufacture AMD's products on a timely basis in sufficient quantities and using competitive technologies; availability of essential equipment, materials, components (such as memory supply), substrates or manufacturing processes; ability to achieve expected manufacturing yields for AMD’s products; AMD's ability to generate revenue from its semi-custom SoC products; potential security vulnerabilities; potential security incidents including IT outages, data loss, data breaches and cyberattacks; uncertainties involving the ordering and shipment of AMD’s products; AMD’s reliance on third-party intellectual property to design and introduce new products; AMD's reliance on third-party companies for design, manufacture and supply of motherboards, software, memory and other computer platform components; AMD's reliance on Microsoft and other software vendors' support to design and develop software to run on AMD’s products; AMD’s reliance on third-party distributors and add-in-board partners; impact of modification or interruption of AMD’s internal business processes and information systems; compatibility of AMD’s products with some or all industry-standard software and hardware; costs related to defective products; failure to maintain an efficient supply chain as customer demand changes; AMD's ability to rely on third party supply-chain logistics functions; AMD’s ability to effectively control sales of its products on the gray market; impact of climate change on AMD’s business; AMD’s ability to realize its deferred tax assets; potential tax liabilities; current and future claims and litigation; impact of environmental laws, conflict minerals related provisions and other laws or regulations; evolving expectations from governments, investors, customers and other stakeholders regarding corporate responsibility matters; issues related to the responsible use of AI; restrictions imposed by agreements governing AMD’s notes, the guarantees of Xilinx’s notes and the revolving credit agreement; AMD’s ability to satisfy financial obligations under guarantees, leases and other commercial commitments; impact of acquisitions, joint ventures and/or investments on AMD’s business and AMD’s ability to integrate acquired businesses; impact of any impairment of the combined company’s assets; political, legal and economic risks and natural disasters; future impairments of technology license purchases; AMD’s ability to attract and retain key employees; and AMD’s stock price volatility. Investors are urged to review in detail the risks and uncertainties in AMD’s Securities and Exchange Commission filings, including but not limited to AMD’s most recent reports on Forms 10-K and 10-Q.   

CEREBRAS DISCLOSURE INFORMATION

Cerebras uses its investor relations page (investors.cerebras.ai), its X account (@cerebras), and its LinkedIn page (linkedin.com/company/cerebras-systems/) to disclose material non-public information and for complying with its disclosure obligations under Regulation FD. Accordingly, investors should monitor these channels, in addition to following Cerebras’ press releases, Securities and Exchange Commission (SEC) filings, public conference calls and public webcasts.

Forward-Looking Statements

This press release contains “forward-looking statements” within the meaning of applicable securities laws. All statements other than statements of historical fact could be deemed to be forward-looking, including, but not limited to, statements regarding the features, capacity, scalability, performance, timing, data center deployment and implementation, costs and expected benefits and opportunities associated with Cerebras' collaboration and joint solution with AMD, and any assumptions relating to the foregoing. The words “may,” “will,” “shall,” “should,” “expects,” “plans,” “anticipates,” “could,” “intends,” “target,” “projects,” “contemplates,” “believes,” “estimates,” “predicts,” “potential,” “objective,” or “continue,” or the negative of these words or other similar terms or expressions that concern our expectations, strategy, plans, or intentions are intended to identify forward-looking statements, although not all forward-looking statements contain these identifying words. These forward-looking statements are subject to a number of risks and uncertainties, many of which involve factors or circumstances that are beyond Cerebras’ control. These risks and uncertainties include, but are not limited to: Cerebras’ ability to sustain and manage its growth, access borrowings and other sources of capital on acceptable terms, and deploy available capital to support growth; its history of net losses and ability to achieve and maintain profitability; its limited operating history at its current scale and ability to accurately forecast revenue and appropriately budget and manage expenses; its dependence on a limited number of significant customers, including OpenAI, Group 42 Holding Ltd, Mohamed bin Zayed University of Artificial Intelligence, and AWS, and the potential impact of any reduction in demand from, material adverse development in its relationships with, or failure to meet its obligations to, such customers, including under its Master Relationship Agreement with OpenAI; the timing, execution and expected benefits of its strategic customer, partner and financing arrangements; its historical reliance on sales of hardware systems and the early-stage, rapidly evolving market for its cloud-based offerings and AI infrastructure; its ability to secure sufficient data center capacity and capital to support its cloud-based offerings; its ability to launch new offerings and add new product capabilities; and its ability to compete effectively in the rapidly evolving and competitive market for AI computing solutions.

Cerebras’ actual results could differ materially from those stated or implied in forward-looking statements due to a number of factors. Accordingly, undue reliance should not be placed on such statements. These forward-looking statements are made as of the date they were first issued and are based on information available to Cerebras together with Cerebras’ expectations, estimates, forecasts, projections, beliefs, and assumptions as of such date. These forward-looking statements should not be relied upon as representing Cerebras’ views as of any date subsequent to the date of this press release. Past performance is not necessarily indicative of future results. Cerebras undertakes no intention or obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as required by law.

Further information on potential risks that could affect actual results is included in Cerebras’ most recent filings with the Securities and Exchange Commission (the “SEC”), including in Cerebras’ most recent Quarterly Report on Form 10-Q, copies of which may be obtained by visiting Cerebras’ Investor Relations website at investors.cerebras.ai or the SEC’s website at www.sec.gov.

Contacts:
Aaron Grabein
AMD Communications
737-256-9518
[email protected]

Liz Stine
AMD Investor Relations
720-652-3965
[email protected]

Kriselle Laran
Cerebras
[email protected]

Sean Dorsey
Cerebras Investor Relations
[email protected]

_______________
i Based on modelling by AMD Performance Labs and Cerebras in July 2026 to determine tokens per second per kilowatt (TPS/kW) at a comparable interactivity point with Kimi 2.6 1T Model comparing an AMD Helios rackscale solution with Cerebras WSE to a Cerebras WSE-only configuration. System manufacturers may vary configurations, yielding different results. MI400-021
2026-07-23 19:02 4d ago
2026-07-23 14:30 4d ago
Liqid Unveils Massive Scale-Up AI Platform Powered by AMD Instinct™ MI350P GPUs
AMD AMD
FMP Stock News
Original source text
WESTMINSTER, Colo.--(BUSINESS WIRE)-- #aiinfrastructure--Liqid® (www.liqid.com), the global leader in software-defined memory and GPU pooling infrastructure, today announced a strategic collaboration with AMD to deliver next-generation AI infrastructure solutions built around the new AMD Instinct™ MI350P GPUs. The collaboration pairs Liqid's GPU pooling solutions with AMD PCIe-based Instinct GPUs to give enterprise and cloud customers scalable, efficient AI infrastructure, without rebuilding their datacenters arou.
2026-07-23 19:02 4d ago
2026-07-23 14:30 4d ago
TensorWave Powers Frontier AI Growth for Cloud Customers with AMD Helios Rackscale Solution
AMD AMD
FMP Stock News
Original source text
LAS VEGAS--(BUSINESS WIRE)--TensorWave, the all-AMD AI cloud specializing in high-performance, memory-intensive workloads, today announced it has adopted the AMD Helios rackscale solution, powered by AMD Instinct™ MI455X GPUs, to advance its infrastructure for frontier-scale inference and training workloads. The 72-GPU AMD Helios rackscale solution integrates AMD Instinct GPUs, 6th Gen AMD EPYC™ CPUs, AMD Pensando™ networking, and AMD ROCm™ software into a unified, open rack-scale platform buil.
2026-07-23 19:02 4d ago
2026-07-23 14:30 4d ago
Vultr Scales Next-Generation AI Infrastructure with AMD Helios Rackscale Solution Powered by AMD Instinct™ MI455X GPUs
AMD AMD
FMP Stock News
Original source text
SAN FRANCISCO--(BUSINESS WIRE)--Vultr, the world's largest privately held cloud infrastructure company, today announced that it is among the first cloud providers to offer the new AMD Instinct™ MI455X GPU and support for AMD Helios rackscale solution at AMD Advancing AI. Vultr is now taking pre-orders available in Q4 to help customers access and operate high-memory, rackscale-accelerated compute for training, inference, fine-tuning, agentic AI and HPC. “Customers are rapidly moving from AI expe.
2026-07-23 19:02 4d ago
2026-07-23 14:30 4d ago
Infobell IT Solutions Announces Strategic Collaboration with AMD to Accelerate Advanced AI Innovation
AMD AMD
FMP Stock News
Original source text
SAN FRANCISCO--(BUSINESS WIRE)-- #AI--Infobell IT Solutions, a leader in enterprise technology services, is thrilled to announce a collaboration with AMD.
2026-07-23 19:02 4d ago
2026-07-23 14:30 4d ago
mimik Operationalizes Agentic AI on the AMD Ryzen™ AI Embedded X100 Series
AMD AMD
FMP Stock News
Original source text
OAKLAND, Calif.--(BUSINESS WIRE)-- #AIAgents--mimik operationalizes agentic AI on the AMD Ryzen AI Embedded X100 Series with mimOE Embedded Edition.
2026-07-23 19:02 4d ago
2026-07-23 14:30 4d ago
AAI 2026: AMD Delivers Full-Stack Compute for the Agentic AI Era
AMD AMD
FMP Stock News
Original source text
News Highlights

At Advancing AI 2026, AMD launches 6th Gen AMD EPYC™ CPUs, AMD Instinct™ MI400 Series GPUs, AMD Helios™ AI rackscale solutions, AMD Ryzen™ AI Embedded X100 processors and the AMD Kria™ AI SOM and Robotics Developer Platform.AMD Helios delivers up to 30% more inference tokens per dollar than the competition, maximizing output from every rack deployed.AI is accelerating demand for the full range of AMD silicon spanning data center, PCs, edge and embedded processors, driving AMD’s TAM to ~$2 trillion in 2030.Anthropic, OpenAI, Meta, Cerebras, AT&T and Cisco detailed how they are collaborating with AMD to advance AI infrastructure, enterprise capabilities and edge AI. SAN FRANCISCO, July 23, 2026 (GLOBE NEWSWIRE) -- AMD (NASDAQ: AMD) today launched its next-generation AI infrastructure and physical AI portfolio at Advancing AI 2026, led by AMD Helios rackscale solutions, now in production to be deployed by leading AI companies at gigawatt scale.

As AI expands from training to inference and agentic workloads, compute demand is accelerating rapidly. AMD delivers an open, full-stack AI platform that gives customers the flexibility to deploy the right compute for every workload.

“The next phase of AI will span frontier models, agents and physical AI, creating new opportunities to bring intelligence everywhere,” said Dr. Lisa Su, chair and CEO, AMD. “Realizing that potential will take the entire industry working together. AMD is partnering across the ecosystem to deliver leadership compute and open platforms that give customers the performance, flexibility and choice to scale AI from the data center to the edge.”

AMD Helios: The Highest Performance Rack-Scale AI Solution
Delivering frontier AI requires a fully integrated rack architecture, with every part of the stack pushing the boundaries of performance. AMD Helios rackscale solutions are built for this, with co-optimized silicon spanning 72 high-performance AMD Instinct™ MI455X GPUs and 18 powerful 6th Gen AMD EPYC™ “Venice” CPUs, connected by AMD Pensando™ front-end, scale-up and scale-out networking, and accelerated by AMD ROCm™ open software. AMD Helios combines leadership compute performance, memory capacity and networking bandwidth to deliver up to 30% more tokens per dollar than the leading competitive solution1.

Leading AI labs and cloud providers are choosing AMD Helios for its open, full-stack performance. They include OpenAI, Anthropic, Meta, Microsoft, Oracle, HUMAIN, Tensorwave, Vultr, Cirrascale and others. Systems will be available from leading OEMs, including Bull, HPE, Lenovo and Supermicro, as well as infrastructure partners Sanmina and Wiwynn.

At Advancing AI, AMD partners detailed how they deploy AMD AI infrastructure at scale for frontier training and inference:

Anthropic and AMD further outlined Wednesday’s strategic partnership announcement to deploy up to 2 gigawatts of AMD Instinct MI455X GPUs in AMD Helios rackscale solutions. The companies are launching a multiyear engineering collaboration to use Claude to accelerate AMD software development. Specifically, the teams will use Claude to optimize workloads for AMD Instinct GPUs and accelerate ROCm software development. AMD will also broadly adopt Claude across its engineering and product development teams.OpenAI and AMD are partnering to optimize the full AI stack, from silicon to software. Leveraging OpenAI’s Triton framework with AMD ROCm software, the companies are optimizing GPT-class workloads on AMD Instinct MI455X GPUs and AMD Helios racks. OpenAI expects to bring Helios online beginning in the fourth quarter of 2026, with deployments accelerating throughout 2027.Meta and AMD are co-designing for gigawatt-scale deployments, optimizing AMD’s full AI compute stack for Meta workloads. Meta is now validating 6th Gen EPYC CPU platforms in its labs and has begun testing and validating workloads on AMD Helios racks as they prepare to deploy at scale.Cerebras and AMD are collaborating to deliver a combined solution of Cerebras ultra-low-latency AI compute and AMD Helios high-throughput rack-scale infrastructure to help improve inference efficiency, scalability and economics for ultra-low-latency inference serving. Delivering the Highest Performance Data Center CPUs and GPUs
6th Gen EPYC processors deliver the broadest server CPU portfolio for agentic AI,2 spanning cloud, enterprise, general-purpose and high-performance computing (HPC) workloads. With leadership per-core performance and the highest thread density3, they enable the most agents per watt, per dollar and per rack.4,5,6 For AI host nodes, 6th Gen EPYC CPUs deliver the speed and memory bandwidth to keep accelerators fully fed. And for general-purpose servers, they bring leadership performance and energy efficiency to run business critical applications and AI support tasks.

With AMD Instinct™ MI400 Series GPUs, AMD delivers powerful performance for cloud, enterprise and HPC workloads. AMD Instinct MI455X GPUs deliver 34x higher token throughput compared to MI355X GPUs7. For high-precision workloads, the AMD Instinct™ MI430X accelerator is the most advanced for HPC and sovereign AI with up to 288 TFLOPS of hardware-based FP64 performance for scientific computing. Instinct MI430X accelerators are powering the next wave of exascale-class supercomputers across the U.S. and Europe.

AMD also launched the Instinct MI350P GPU, bringing seamless AI acceleration to existing infrastructure with leadership token economics. MI350P GPUs deliver up to 4.2x more tokens per second per dollar than the competition8.

Advancing the Open Software Ecosystem
For developers, AMD ROCm is the open software platform with the performance, flexibility and ecosystem support needed to build and deploy AI on AMD hardware. Building on that foundation, AMD is introducing ROCm.ai, an AI-driven development platform that helps developers build, optimize and deploy GPU software faster across AMD platforms. ROCm.ai brings AI-assisted GPU programming to developers by enabling popular coding agents such as Claude, Codex and Cursor to understand AMD platforms and ROCm natively.

ROCm.ai is accelerating software enablement for AMD Instinct MI455X GPUs while optimizing performance. Leading open-source frameworks including PyTorch, Hugging Face, vLLM and SGLang are already enabled on MI455X and seeing great results.

Accelerating Next-Generation AI Infrastructure
AMD is extending its annual cadence of CPU, GPU, networking and rack-scale innovation through 2030. The company shared new details on its roadmaps, including:

Next-generation EPYC server CPUs based on the “Zen 7” architecture are coming in 2028. The “Florence,” “Ferrara” and “Fidenza” CPUs are expected to extend AMD’s leadership in density, performance, performance-per-system dollar and performance-per-watt.“Ravenna” CPUs based on the “Zen 8” architecture are coming in 2030, designed to continue AMD server CPU leadership.Next-generation AMD Instinct MI500 Series GPUs are coming in 2027, with next-generation compute, memory and interconnect technologies for leadership performance.AMD Instinct MI600 Series GPUs are coming in 2028.The next-generation AMD Helios 500 rackscale solution will be powered by AMD Instinct MI500 Series GPUs and AMD EPYC “Verano” CPUs, with next-gen Pensando “Como” and “Monza” networking. The AMD Helios 600 rackscale solution will follow, powered by AMD Instinct MI600 Series GPUs, EPYC “Ferrara” CPUs and Pensando “Palma” and “Levanzo” networking. Scaling AI Across Enterprise
Leading enterprises run on AMD infrastructure, from cloud, hybrid and on-prem data centers to AI-enabled PC fleets. AMD technologies are helping customers scale quickly and accelerate enterprise transformation.

At Advancing AI, AT&T illustrated how it is deploying flexible enterprise AI using AMD technology across cloud, on-premises and air-gapped environments. AT&T is also using AMD Instinct GPUs and ROCm software to power its OTel 2.0 model, an open-source model trained specifically for telecoms.

With the AMD Ryzen™ AI Halo developer platform, AMD delivers performance, efficiency and simplicity that makes local AI development accessible. More AMD Ryzen AI Halo platforms, powered by Ryzen™ AI Max PRO 400 Series processors, will be available later this year from AMD and OEM partners.

Cisco and AMD are collaborating to combine AMD high-performance inference engines, including AMD Ryzen AI Halo systems, with Cisco networking, observability and security capabilities, so enterprises can deploy, govern and manage hybrid and local agentic AI at scale.  

Advancing the Next Frontier of Physical AI
As AI expands across cloud, enterprise and local systems, the next frontier is bringing intelligence into machines that perceive, reason and act in the physical world. Building on a long legacy in robotics with AMD FPGAs and adaptive SoCs, AMD introduced AMD Kria™ AI solutions, extending the company’s robotics capabilities from the robot body to the robot brain. AMD uniquely brings AI perception, reasoning and agentic decision-making and control together on a single platform to deliver the performance required for demanding real-world robotic systems.

The portfolio includes new AMD Kria AI system-on-modules (SOMs), powered by the new AMD Ryzen AI Embedded X100 Series processors, and the AMD Kria AI Robotics Developer Platform, the first open, turnkey integrated platform for autonomous robotics combining CPU, GPU, NPU and FPGA compute. Together with an expanded open software ecosystem, AMD Kria AI solutions remove vendor lock-in and help developers and customers accelerate the path from prototype to production for next-generation physical AI systems.

Supporting Resources

Follow AMD at Advancing AI 2026 (Press Kit)Watch the AAI keynote replay About AMD
AMD (NASDAQ: AMD) drives innovation in high-performance and AI computing to solve the world’s most important challenges. Today, AMD technology powers billions of experiences across cloud and AI infrastructure, embedded systems, AI PCs and gaming. With a broad portfolio of AI-optimized CPUs, GPUs, networking and software, AMD delivers full-stack AI solutions that provide the performance and scalability needed for a new era of intelligent computing. Learn more at www.amd.com.

CAUTIONARY STATEMENT

This press release contains forward-looking statements concerning Advanced Micro Devices, Inc. (AMD) such as AI accelerating demand for the full range of AMD silicon, driving AMD’s total addressable market to ~$2 trillion in 2030; compute demand accelerating; the next phase of AI; the features, functionality, performance, availability, timing and expected benefits of AMD products, including, but not limited to, 6th Gen AMD EPYC™ CPUs, AMD Instinct™ MI400 Series GPUs, AMD Helios™ AI rackscale solutions, AMD Ryzen™ AI Embedded X100 processors and the AMD Kria™ AI SOM and Robotics Developer Platform; expected plans, benefits, scalability and deployments with AMD partners including Anthropic, OpenAI, Meta and Cerebras; AMD’s AI infrastructure product roadmaps through 2030; and AMD’s collaboration with AT&T and Cisco, which are made pursuant to the Safe Harbor provisions of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are commonly identified by words such as "would," "may," "expects," "believes," "plans," "intends," "projects" and other terms with similar meaning. Investors are cautioned that the forward-looking statements in this press release are based on current beliefs, assumptions and expectations, speak only as of the date of this press release and involve risks and uncertainties that could cause actual results to differ materially from current expectations. Such statements are subject to certain known and unknown risks and uncertainties, many of which are difficult to predict and are generally beyond AMD's control, that could cause actual results and other future events to differ materially from those expressed in, or implied or projected by, the forward-looking information and statements. Material factors that could cause actual results to differ materially from current expectations include, without limitation, the following: impact of government actions and regulations such as export regulations, import tariffs, trade protection measures, and licensing requirements; competitive markets in which AMD’s products are sold; the cyclical nature of the semiconductor industry; market conditions of the industries in which AMD products are sold; AMD’s ability to introduce products on a timely basis with expected features and performance levels; loss of a significant customer; economic and market uncertainty; quarterly and seasonal sales patterns; AMD's ability to adequately protect its technology or other intellectual property; unfavorable currency exchange rate fluctuations; ability of third party manufacturers to manufacture AMD's products on a timely basis in sufficient quantities and using competitive technologies; availability of essential equipment, materials, components (such as memory supply), substrates or manufacturing processes; ability to achieve expected manufacturing yields for AMD’s products; AMD's ability to generate revenue from its semi-custom SoC products; potential security vulnerabilities; potential security incidents including IT outages, data loss, data breaches and cyberattacks; uncertainties involving the ordering and shipment of AMD’s products; AMD’s reliance on third-party intellectual property to design and introduce new products; AMD's reliance on third-party companies for design, manufacture and supply of motherboards, software, memory and other computer platform components; AMD's reliance on Microsoft and other software vendors' support to design and develop software to run on AMD’s products; AMD’s reliance on third-party distributors and add-in-board partners; impact of modification or interruption of AMD’s internal business processes and information systems; compatibility of AMD’s products with some or all industry-standard software and hardware; costs related to defective products; failure to maintain an efficient supply chain as customer demand changes; AMD's ability to rely on third party supply-chain logistics functions; AMD’s ability to effectively control sales of its products on the gray market; impact of climate change on AMD’s business; AMD’s ability to realize its deferred tax assets; potential tax liabilities; current and future claims and litigation; impact of environmental laws, conflict minerals related provisions and other laws or regulations; evolving expectations from governments, investors, customers and other stakeholders regarding corporate responsibility matters; issues related to the responsible use of AI; restrictions imposed by agreements governing AMD’s notes, the guarantees of Xilinx’s notes and the revolving credit agreement; AMD’s ability to satisfy financial obligations under guarantees, leases and other commercial commitments; impact of acquisitions, joint ventures and/or investments on AMD’s business and AMD’s ability to integrate acquired businesses; impact of any impairment of the combined company’s assets; political, legal and economic risks and natural disasters; future impairments of technology license purchases; AMD’s ability to attract and retain key employees; and AMD’s stock price volatility. Investors are urged to review in detail the risks and uncertainties in AMD’s Securities and Exchange Commission filings, including but not limited to AMD’s most recent reports on Forms 10-K and 10-Q.

_________________________

1Based on AMD Performance Labs estimates as of July 2026, tokens-per-dollar performance was calculated using the Kimi K2 Thinking workload (32K input / 8K output) on an AMD Helios rackscale solution compared to an NVIDIA Vera Rubin NVL72 rack. Results reflect estimated aggregate throughput across low, medium, and high-interactivity operating points and hourly pricing projection of system GPUs based on market conditions. System configurations may vary by manufacturer and may produce different results. MI400-025
2 EPYC-068 - The AMD EPYC server CPU portfolio spans the industry’s broadest ranges of data center deployments, from general-purpose enterprise, cloud, telecom, SMB, and HPC systems to emerging AI environments including sandboxed agentic AI deployments and GPU head node servers. AMD EPYC 6th Generation platforms extend this breadth by uniquely combining high core and thread density of up to 512 threads, advanced memory bandwidth of up to 16 channels of 12.8 GT/s MRDIMM support, next-generation PCIe® Gen 6 connectivity, and select SKUs with boost frequencies up to 5 GHz.

3 EPYC-025D: As of July 2026, 6th Gen EPYC 9996 has 256 cores and 512 threads with SMT enabled which is higher than any other publicly disclosed 1P CPU
4 9xx6-012: Based on estimated performance data for Nvidia, Intel®, and AMD EPYC™ Server Processors for Agentic AI, the AMD EPYC9996 provides the most agents per rack at a 100Kw power envelope per rack. 
 Compared to the cores per rack of Nvidia Vera (88c) powered server racks: 
 - The AMD EPYC 9996 (256C) provides 2.08x the cores (and threads with SMT) per rack 
- The AMD EPYC 9965 (192C) provides 1.86x the cores (and threads with SMT) per rack 
- The Intel Xeon 6980P (128C) provides 1.24x the cores (and threads with SMT) per rack 
Source: https://www.amd.com/content/dam/amd/en/documents/solutions/ai/methodology-description.pdf  
Agent counts are estimates derived from available CPU thread resources used as a proxy under a consistent theoretical workload. Actual agent capacity and throughput will vary based on workload, model, memory, software, orchestration, and system configuration.

5 9xx6-013: Comparison based on published Top-of-stack core counts and 1Ku pricing for estimated highest Agents / CPU $ and threads / CPU $ AMD EPYC™ 9006 (512 threads), AMD EPYC™ 9005 (384 threads), and Intel® Xeon® 6 (256 threads) SKUs as of 7/22/2026. Threads derived as 2 threads per core (SMT). Intel and Xeon are trademarks of Intel Corporation or its subsidiaries. Source: https://www.amd.com/content/dam/amd/en/documents/solutions/ai/methodology-description.pdf Agent counts are estimates derived from available CPU thread resources used as a proxy under a consistent theoretical workload. Actual agent capacity and throughput will vary based on workload, model, memory, software, orchestration, and system configuration.

6 9xx6-014: Comparison based on published Top-of-stack core counts and CPU W, Default CPU Power for 6th Gen EPYC, and TDPs for 5th Gen EPYC, Intel® Xeon®, and Nvidia Vera for estimated Highest Agents / CPU W across AMD EPYC™ 9956 (400W Default CPU Power), AMD EPYC™ 9965 (500W TDP), Nvidia Vera (450W TDP), ARM AGI (300W TDP), and Intel® Xeon® 6980P (500W TDP) powered servers as of 7/22/2026. 2 threads per core (SMT). 1 thread per core for ARM AGI.
Starting with the 6th Gen AMD EPYC™ server processor family, AMD uses Default CPU Power to describe processor power consumption, succeeding AMD's historical TDP reference. Default CPU Power reflects total power consumed across the processor's compute and I/O dies for the stated performance target. Default CPU Power and TDP may both serve as processor power references for product comparison, platform planning, and performance-per-watt analysis. Agent counts are estimates derived from available CPU thread resources used as a proxy under a consistent theoretical workload. Actual agent capacity and throughput will vary based on workload, model, memory, software, orchestration, and system configuration. Intel Xeon TDP from ark.intel.com. Nvidia Vera TDP from https://developer.nvidia.com/blog/nvidia-vera-cpu-sets-a-new-standard-for-agentic-workloads-in-ai-factories/. ARM AGI Specifications from https://www.arm.com/products/cloud-datacenter/arm-agi-cpu#Specifications

7 MI400-020: Based on measurements and calculations by AMD Performance Labs in July 2026, for the AMD Instinct™ MI455X GPU to determine measured token throughput at high, medium and low interactivity points run on Deepseek V4 Flash with FP4 serving compared to AMD Instinct™ MI355X GPU. System manufacturers may vary configurations, yielding different results.

8 MI350P-007: Based on AMD internal testing (July 2026), on a (1x) AMD Instinct MI350P GPU vs (1x) NVIDIA H200 NVL GPU on the Llama 3.3 70B Instruct (FP8) online serving output-throughput per dollar (tok/s/USD) comparison at ISL/OSL 1024/1024 across concurrency levels 1, 4, 8, 16, 32, 64, 128, 256, 512; median of 3 runs per point. MI350P based server internal AMD estimated pricing as $327,238.40 USD. RTX_PRO_6000 based server public list price reported on OEM website as $265,928.24 USD as of 7/16/2026. Stated results are the peak per-concurrency ratios: MI350P served via AIMS silogenai/aim-instinct-meta-llama-llama-3-3-70b-instruct:0.12.0-rc6; H200 NVL via NVIDIA NIM nvcr.io/nim/meta/llama-3.3-70b-instruct:2.0.6; RTX PRO 6000 via NVIDIA NIM nvcr.io/nim/meta/llama-3.3-70b-instruct:2.0.6. Configuration: 8x AMD Instinct MI350P PCIe Card (CDNA4, gfx950, 128 CUs, 144 GB HBM3E, SPX compute / NPS1), vBIOS 113-350P-01-1K1-000A, GPU driver 6.19.13-2353916.24.04, ROCm 7.14.0 (AMD-SMI 26.5.0); host 2P AMD EPYC 9455 (48-core), Dell PowerEdge XE7745, BIOS 1.7.6, microcode 0xb002162, SMT Enabled, Ubuntu 24.04.4 LTS, Linux 6.8.0-124-generic || NVIDIA RTX PRO 6000: 8x NVIDIA RTX PRO 6000 Blackwell Server Edition, vBIOS 98.02.8D.00.01, GPU driver 595.45.04, CUDA 13.2; host 2P AMD EPYC 9455 (48-core), Dell PowerEdge XE7745, BIOS 1.6.4, microcode 0xb00215a, SMT Enabled, Ubuntu 24.04.4 LTS, Linux 6.8.0-124-generic. Sever manufacturers may vary configurations, yielding different results. Results may vary due to factors including system configurations, software versions and BIOS settings.

Contact: 
Brandi Martina 
 AMD Communications 
(512) 705-1720 
[email protected] 

Liz Stine
AMD Investor Relations
(720) 652-3965
[email protected]
2026-07-23 19:02 4d ago
2026-07-23 14:32 4d ago
Eric Trump-backed Foundation partners with AMD to develop humanoid robots
AMD AMD
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Item 1 of 2 AMD logo is seen in this illustration created on June 11, 2026. REUTERS/Dado Ruvic/Illustration/File Photo

[1/2]AMD logo is seen in this illustration created on June 11, 2026. REUTERS/Dado Ruvic/Illustration/File Photo Purchase Licensing Rights, opens new tab

July 23 (Reuters) - Eric Trump-backed Foundation Future Industries said on Thursday it is partnering with AMD (AMD.O), opens new tab to use its ​chips to co-develop autonomous humanoid robots for military ‌and industrial use.

The son of U.S. President Donald Trump has been an investor in the start-up since early this year and serves ​as chief strategy advisor, the company said.

The Reuters Daily Briefing newsletter provides all the news you need to start your day. Sign up here.

The Trump family's ​investments in several companies have drawn scrutiny, particularly ⁠its stakes in defense firms that regularly compete for ​government contracts, raising concerns about potential conflicts of interest.

Eric Trump ​and his brother, Donald Trump Jr., have also backed Israeli drone-maker XTEND (JFB.O), opens new tab, Unusual Machines (UMAC.A), opens new tab and Powerus.

Under the deal, whose value was not disclosed, ​Foundation plans to use AMD Ryzen AI Embedded X100 ​Series processors — introduced by the chipmaker in January, opens new tab this year — to build the ‌second ⁠version of its robot, Phantom MK-2.

The start-up, founded in 2024, said it has deployed its Phantom MK-1 robots to contribute in building more than 24,000 cars in 2025.

In October, ​the company will ​open a ⁠factory capable of building 5,000 Phantom robots annually, with plans to start building another facility ​early next year with an annual capacity of ​50,000 ⁠robots, CEO Sankaet Pathak told Reuters.

Each industrial-use robots, leased to customers, cost about $100,000 per year, Pathak said.

On the defense side, ⁠the ​company is developing robots for materials ​handling and reconnaissance, which are sold to the government at $300,000 a unit, he ​added.

Reporting by Aishwarya Jain in Bengaluru; Editing by Vijay Kishore

Our Standards: The Thomson Reuters Trust Principles., opens new tab
2026-07-23 19:02 4d ago
2026-07-23 14:35 4d ago
Supermicro Introduces New Server Portfolio with 6th Gen AMD EPYC™ 9006 Series CPUs, Delivering 1.7x Generational Performance Improvements
AMD AMD
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33% more cores, 2X PCIe Bandwidth and 2.6X higher memory bandwidth supercharge high-performance workloads Powered by 6 th Gen AMD EPYC CPUs and AMD Instinct™ GPUs, comprehensive rack-scale systems, built on DCBBS architecture, are optimized for Cloud, Enterprise, Storage, HPC and AI workloads Industry's broadest portfolio also includes the 72-GPU AMD Helios Platform, designed for large-scale AI training and high-throughput inference , /PRNewswire/ -- Super Micro Computer, Inc. (NASDAQ: SMCI), an AI, Enterprise, Storage, and 5G/Edge Total IT Solution Provider featuring Data Center Building Block Solutions® (DCBBS), today announced its next-generation H15 server portfolio powered by 6th Gen AMD EPYC™ 9006 Series CPUs, optimized for next generation GPUs including AMD Instinct™, and connected by AMD Pensando™ networking. With up to 256 cores and 512 threads, H15 systems meet the growing compute demands of cloud, enterprise, storage, high-performance computing (HPC), and agentic AI workloads. With breakthrough 1.7x generational CPU performance improvement1, expanded memory and I/O bandwidth, and industry-leading compute density, customers are now able to run more concurrent AI agents, accelerate enterprise applications, and maximize host-node performance while operating within existing power envelopes.

All-New Supermicro Servers with AMD EPYC 9006 Series CPUs "The latest AMD powered additions to our DCBBS family deliver the next generation of AI infrastructure, optimized for high performance, rapid scalability, and peak efficiency," said Vik Malyala, Chief Business Officer at Supermicro. "Backed by our global services team, resilient U.S. supply chain, and consistent investment in US AI innovation, we continue to help customers deploy and scale AI with confidence."

Learn more about Supermicro's portfolio of AMD servers here, and in this video summary. 

"As enterprises scale agentic AI, they need infrastructure that delivers exceptional performance, efficiency, and flexibility," said Dan McNamara, senior vice president and general manager, Compute and Enterprise AI, AMD. "By combining the latest AMD EPYC CPUs, Instinct GPUs, and AMD Pensando networking with Supermicro's modular server and rack-scale designs, customers can deploy AI infrastructure faster while improving utilization, reducing energy consumption, and lowering total cost of ownership."  

H15 Portfolio Delivers Optimized Infrastructure for Every Workload

The new H15 portfolio includes purpose-built systems optimized for a broad range of enterprise and AI infrastructure deployments:

Hyper – The flagship dual-socket platform engineered for enterprise applications, AI inference, virtualization, and cloud workloads, with advanced thermal design to support the highest-performance AMD EPYC processors. 

CloudDC – A single-socket or dual socket server designed for cloud-scale environments and built on the Open Compute Project (OCP) Data Center Modular Hardware System (DC-MHS) specification for compatibility with open data center standards.

GrandTwin® – A high-density 2U, four-node architecture designed for scale-out environments including object storage, virtualization, cloud services, and high-performance computing.

FlexTwin™ – A 1OU, two-node, high-performance, high-density dual CPU compute system that maximizes compute density and power efficiency for cloud-native and hyperscale deployments using liquid cooling.

Petascale Storage – 1U and 2U high-capacity all-flash storage platforms optimized for software-defined storage-based AI data lakes, large-scale analytics, and HPC environments supporting up to 4.8 PB per system.

SuperBlade® - H15 8U 10 SuperBlade represents next-generation, rack-scale breakthrough architecture for HPC, AI inference, agentic AI, and enterprise-class compute workloads with CPU and GPU. The platform supports both single-socket and dual-socket blade configurations - with both air and liquid-cooled versions optimized for maximum density, high performance, and efficiency, across a wide range of infrastructure deployments.

Expanding AMD GPU-Powered AI Infrastructure

Complementing the H15 server portfolio, Supermicro continues to expand its AMD GPU-powered AI infrastructure with new PCIe GPU servers and the rack-scale Supermicro AMD Helios Platform. As shown at Computex 2026, these solutions provide organizations with flexible deployment options ranging from enterprise AI inference to large-scale AI training.

5U PCIe GPU Servers Powered by AMD Instinct™ MI350P GPUs

The Supermicro AS -5126GS-TNRT and AS -5126GS-TNRT2 are designed to maximize the performance of AMD Instinct MI350P PCIe GPUs. Supporting up to ten GPUs in a standard 5U air-cooled platform, these systems deliver exceptional AI acceleration while operating within existing data center power and cooling infrastructures.

By combining Supermicro's high-density PCIe architecture with AMD Instinct MI350P GPUs featuring up to 144GB of HBM3e memory and support for low-precision AI formats, organizations can accelerate AI inference and training while improving infrastructure efficiency, reducing data center footprint, and lowering total cost of ownership.

Open Ethernet Networking with AMD Pensando™ Pollara 400 AI NIC

The AMD Pensando Pollara 400 AI NIC provides high-performance, open Ethernet networking for AI infrastructure, enabling front-end, storage, and scale-out connectivity for AMD Instinct MI350P-based systems with the high bandwidth, low latency, and efficiency required for AI training and inference. Together, AMD Instinct MI350P GPUs and the AMD Pensando Pollara 400 AI NIC enable customers to build open, high-performance AI clusters that scale from a single server to large multi-rack deployments using standard Ethernet infrastructure.

Supermicro AMD Helios Platform 

For organizations deploying frontier AI models, Supermicro is collaborating with AMD to deliver the Supermicro AMD Helios Platform, a 72-GPU rack-scale solution designed for large-scale AI training and high-throughput inference.

The liquid-cooled platform combines AMD Instinct MI455X GPUs, 6th Gen AMD EPYC processors, AMD Pensando networking technologies, and the AMD ROCm™ software stack to create an open, high-performance AI infrastructure. Supporting deployments of every size, the platform enables customers to scale efficiently while maximizing performance, energy efficiency, and operational flexibility.

Supermicro's DCBBS brings these technologies together as complete, validated AI infrastructure, enabling organizations to deploy solutions ranging from individual servers to fully integrated rack-scale and data center-level systems. With industry-leading design, manufacturing, liquid cooling, networking, software, and global support services, Supermicro continues to help customers accelerate AI adoption while reducing deployment time, improving energy efficiency, and lowering total cost of ownership.

For a detailed product demonstration led by Supermicro experts, be sure to stop by the Supermicro booth at AMD Advancing AI Day 2026, July 22–23, 2026, at Moscone West in San Francisco. Supermicro will also be displaying the densest EPYC 9006 rack implementation with 96 EPYC 9006 CPUs in a 42U rack using the FlexTwin system which will be shown in the AMD display area.

11.7X performance improvement based on SPECInt Rate 2017 results published by AMD.

About Super Micro Computer, Inc. 

Supermicro (NASDAQ: SMCI) is a global leader in Application-Optimized Total IT Solutions. Founded and operating in San Jose, California, Supermicro is committed to delivering first-to-market innovation for Enterprise, Cloud, AI, and 5G Telco/Edge IT Infrastructure. We are a Total IT Solutions provider with server, AI, storage, IoT, switch systems, software, and support services. Supermicro's motherboard, power, and chassis design expertise further enables our development and production, enabling next-generation innovation from cloud to edge for our global customers. Our products are designed and manufactured in-house (in the US, Taiwan, and the Netherlands), leveraging global operations for scale and efficiency and optimized to improve TCO and reduce environmental impact (Green Computing). The award-winning portfolio of Server Building Block Solutions® allows customers to optimize for their exact workload and application by selecting from a broad family of systems built from our flexible and reusable building blocks that support a comprehensive set of form factors, processors, memory, GPUs, storage, networking, power, and cooling solutions (air-conditioned, free air cooling or liquid cooling).

Supermicro, Server Building Block Solutions, and We Keep IT Green are trademarks and/or registered trademarks of Super Micro Computer, Inc.

All other brands, names, and trademarks are the property of their respective owners.

AMD, the AMD Arrow logo, EPYC, AMD Instinct, Pensando, ROCm and the combination thereof are trademarks of Advanced Micro Devices, Inc.

SOURCE Super Micro Computer, Inc.
2026-07-23 19:02 4d ago
2026-07-23 14:42 4d ago
Cerebras stock gains on AMD partnership
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Cerebras shares gained about 4% on Thursday after the company forged an agreement with Advanced Micro Devices that involves the two chipmakers to work together on artificial intelligence systems.

Cerebras CEO Andrew Feldman said at AMD's AI conference in San Francisco that his company's chips will be used in AMD's Helios AI systems installed in Cerebras data centers starting later this year. Server buyers will be able to configure AMD systems with the company's "wafer-scale" chips as well.

At the event, AMD is detailing new chips and its Helios integrated system.

The partnership highlights how important "ultra-low latency" has become for AI firms. Chips like those made by Cerebras are configured to provide the first AI answers as quickly as possible, while making tradeoffs in terms of flexibility and total power. The companies claimed that their system would provide five times higher tokens per second per watt than competitors.

AMD rival Nvidia bought assets from Groq in December for $20 billion to integrate that company's low-latency technology into its systems.

"When something's a necessity, people want to use it, and they want to use it quickly," Feldman said.

Cerebras went public in May and has been a particularly volatile stock in its early days. After going public at $185, the stock shot up as high as $386.34 in its debut before falling below $161 in late June. With Thursday's pop, the shares are trading at $219.80.

In January, Cerebras announced a deal with OpenAI to deliver 750 megawatts of computing power through 2028, a deal worth over $10 billion.

watch now
2026-07-23 19:02 4d ago
2026-07-23 13:20 4d ago
Nokia's Q2 Earnings Beat Estimates on Higher AI & Cloud Demand
NOKIA Nokia
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Key Takeaways Nokia's Q2 comparable EPS beat estimates, while revenues rose 8% but missed expectations.NOK saw AI & Cloud demand drive IP Networks and Optical Networks growth in Network Infrastructure.Nokia kept its 2026 operational outlook, with AI & Cloud demand supporting Network Infrastructure growth. Nokia Corporation (NOK - Free Report) reported mixed second-quarter 2026 results, with the bottom line beating the Zacks Consensus Estimate, but the top line missing the same. The company's top line increased year over year, primarily owing to robust growth in Optical Networks and IP Networks within the Network Infrastructure segment, supported by strong AI & Cloud demand.

NOK's Net IncomeNokia reported a net income of €5 million ($5.8 million) or €0.00 per share in the second quarter against a net income of €96 million or €0.02 per share in the year-ago quarter. Accelerated restructuring charges weighed on reported profits despite higher net sales.

Comparable profit was €414 million ($481.4 million) or €0.07 (8 cents) per share, up from €252 million or €0.04 in the year-earlier quarter. The bottom line beat the Zacks Consensus Estimate of 7 cents.

NOK's RevenuesQuarterly net sales were €4.82 billion ($5.60 billion), up 8% from €4.44 billion in the year-ago quarter. Growth was primarily driven by strength in the Network Infrastructure segment, fueled by robust demand from AI & Cloud customers. However, revenues missed the Zacks Consensus Estimate of $5.62 billion.

Net sales from Network Infrastructure totaled €2.04 billion ($2.37 billion), increasing from €1.83 billion in the year-ago quarter. On a constant currency basis, IP Networks recorded 16% year-over-year growth, supported by strong AI & Cloud demand and robust order intake. Revenues from Optical Networks surged 20% year over year, driven by AI & Cloud and telecom provider demand, particularly in the Americas. Meanwhile, Fixed Networks declined 2% year over year, reflecting lower sales of consumer-premise fiber products as Nokia continued to prioritize higher-margin offerings, partly offset by stronger operator-premise fiber optical line terminal sales.

Mobile Infrastructure generated revenues of €2.68 billion ($3.12 billion), up 6% year over year on a reported basis and 7% on a constant currency basis. Growth was driven by strength in Radio Networks and Technology Standards, while Core Software recorded modest growth.

Net sales from Portfolio Businesses were €94 million ($109.3 million), up 6% year over year on both a reported and constant currency basis. Growth was primarily driven by Site Implementation and Outside Plant, which also supported a significant improvement in profitability during the quarter.

Technology Standards (reported under Mobile Infrastructure) contributed €407 million ($473.1 million) compared with €357 million in the year-ago quarter. Net sales increased 15% on a constant currency basis, driven by licensing agreements signed during the quarter, including a benefit from catch-up net sales.

Region-wise, net sales from the EMEA region increased to €2.06 billion ($2.39 billion) from €1.91 billion in the year-earlier quarter, reflecting broad-based growth across businesses.

Revenues in the APAC region increased to €982 million ($1.14 billion) from €913 million in the year-ago quarter, supported by growth across both Network Infrastructure and Mobile Infrastructure.

The Americas region generated net sales of €1.78 billion ($2.07 billion), up from €1.62 billion in the prior-year quarter, driven by strong demand in AI & Cloud, particularly for Optical Networks and IP Networks.

NOK's Other DetailsIn the June quarter, the comparable gross margin was 46%, up from 45.3% in the year-ago quarter. Comparable operating profit increased 18% year over year to €434 million ($504.5 million). Comparable operating margin expanded to 9% from 8.3% in the year-ago quarter.

NOK's Cash Flow & LiquidityIn the June quarter, Nokia used €620 million ($720.7 million) in net cash from operating activities. Free cash flow was negative €732 million ($850.9 million), primarily due to working capital outflows, restructuring-related cash charges and capital expenditures.

As of June 30, 2026, the company had €4.35 billion ($5.06 billion) in cash and cash equivalents, with long-term interest-bearing liabilities of €1.92 billion ($2.23 billion).

Outlook of NOKFor 2026, Nokia expects comparable operating profit in the range of €2.1-€2.6 billion, reflecting a technical revision from the previous range following the reclassification of two businesses as discontinued operations. Operationally, the company's outlook remains unchanged. Free cash flow conversion is projected at 55-75% of comparable operating profit, while capital expenditure is estimated to be in the range of €800-€900 million.

The company continues to expect Network Infrastructure net sales to grow 12-14% in 2026 on a constant currency and portfolio basis, including 18-20% growth for the combined IP Networks and Optical Networks businesses, supported by sustained demand from AI & Cloud customers.

NOK’s Zacks RankNOK currently carries a Zacks Rank #2 (Buy). You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.

Upcoming ReleasesArista Networks Inc. (ANET - Free Report) is scheduled to release second-quarter 2026 earnings on Aug. 8. The Zacks Consensus Estimate for earnings is pegged at 89 cents per share, suggesting growth of 21.92% from the year-ago reported figure.

Arista has a long-term earnings growth expectation of 19.86%. The company delivered an average earnings surprise of 8.31% in the last four reported quarters.

Amphenol Corporation (APH - Free Report) is set to release second-quarter 2026 earnings on July 29. The Zacks Consensus Estimate for earnings is pegged at $1.19 per share, implying growth of 46.91% from the year-ago reported figure.

Amphenol has a long-term earnings growth expectation of 24.01%. The company delivered an average earnings surprise of 14.08% in the last four reported quarters.

Corning Incorporated (GLW - Free Report) is set to release second-quarter 2026 earnings on July 28. The Zacks Consensus Estimate for earnings is pegged at 76 cents per share, implying growth of 26.67% from the year-ago reported figure.

Corning has a long-term earnings growth expectation of 23.89%. The company delivered an average earnings surprise of 2.41% in the last four reported quarters.
2026-07-23 19:02 4d ago
2026-07-23 12:09 4d ago
Boeing Wins Quiet Airshow Order Race
BA Boeing
FMP Stock News
Original source text
Boeing (BA) edged out Airbus at the Farnborough Airshow, but the relatively quiet order race showed how much the aerospace industry's priorities have changed.Bo
2026-07-23 19:01 4d ago
2026-07-23 12:05 4d ago
Nike Stock for the Next 10 Years: Buy, Hold, or Avoid?
NKE Nike
FMP Stock News
Original source text
Nike is trading at a deep discount to its previous highs, potentially undervaluing future earnings. Management is restructuring the business for sustainable long-term growth.