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Bittensor just made a quiet but consequential move: it redesigned its entire documentation layer so that AI agents, not just human developers, can parse it, understand it, and act on it. The OpenTensor Foundation announced the upgrade on July 21, 2026, framing it as infrastructure for what it calls an “agentic world.”
The documentation overhaul goes well beyond reformatting existing pages. Bittensor rolled out a five-minute Quickstart guide, an expanded Software Development Kit, updated Command Line Interface guides, and migration materials for developers transitioning from older versions of the platform.
The docs now cover wallet management, staking TAO (Bittensor’s native token), mining, validating, and subnet operations. All of it is structured for both human readability and machine consumption.
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This matters because Bittensor’s network runs on subnets, which are specialized markets that create and trade digital commodities like computational power, AI inference, and storage solutions. If an AI agent can read the documentation, discover what a subnet does, and start participating in it without a developer manually wiring everything together, you’ve fundamentally changed the speed at which the ecosystem can grow.
The update arrived just three days after the v431 network upgrade on July 18, 2026, which introduced improved security measures and launched the Conviction mechanism for subnet ownership. That upgrade was designed to lower barriers for programmatic and agent-driven participation in subnets. The documentation refresh is essentially the instruction manual that makes the v431 features accessible to both humans and their AI counterparts.
With machine-readable documentation, an AI agent can theoretically do most of that work itself. It loads the docs, identifies available operations, understands the parameters required, and starts making calls. The human developer becomes a supervisor rather than a line-by-line coder.
If machine-readable docs successfully lower the barrier for AI agents to participate in Bittensor’s subnets, the logical consequence is more network activity. More activity means more demand for TAO, since operations on the network, from staking to mining to subnet interactions, require token usage.
Community feedback on the update has been notably positive, with developers highlighting reduced friction and praising the platform’s AI-native infrastructure approach.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
MEXC has opened Bittensor’s TAO staking to its reported 40 million users through validator Yuma, adding exchange-based access to rewards from one of the largest decentralized artificial intelligence networks.
Summary
MEXC has launched TAO staking for its reported 40 million users through Yuma. Yuma will provide the validator infrastructure and manage staking allocations across Bittensor. The launch follows Yuma’s criticism of Bittensor’s proposed Root Reborn governance overhaul. Yuma announced on Tuesday that its validator infrastructure now powers TAO staking on MEXC, allowing the exchange’s customers to delegate the token without moving their holdings to a separate Bittensor-compatible wallet.
Bittensor $TAO staking is now live for all MEXC users.
We've partnered with @MEXC to expand access to the Bittensor ecosystem. MEXC's 40 million users across 170+ countries can now access TAO staking through the exchange, powered by Yuma's Bittensor-native validator… pic.twitter.com/O9A0I6jJxq
— Yuma (@YumaGroup) July 21, 2026 Under the integration, Yuma will operate the validator infrastructure behind the service while MEXC provides the customer-facing staking product. The companies said the arrangement is designed to increase participation in Bittensor and make its staking system easier to access through a centralized exchange.
MEXC reports serving more than 40 million users in over 170 countries and regions. CoinMarketCap describes the company as a global exchange founded in 2018, while MEXC says its platform lists more than 3,000 cryptocurrencies across spot and derivatives markets.
For TAO holders, the new service removes several steps normally required to stake directly on Bittensor. According to Taostats documentation, direct staking involves transferring TAO to a supported wallet, selecting a validator and completing the delegation on the network.
Yuma’s role extends beyond processing those delegations. Within Bittensor, validators assess the output of miners across different subnets and assign weights that influence how the protocol distributes token emissions.
Each subnet operates as a specialized market for a particular digital service. According to Bittensor, those services can include machine-learning inference, model training, computing power, storage and prediction systems.
Exchange access removes barriers to TAO staking Bittensor uses TAO as both its incentive token and the main asset supporting its staking system. Holders can delegate TAO to validators, which use their stake to participate in the network’s consensus process and allocate capital among subnets.
Rewards depend partly on validator performance and how those validators position stake across the network. Yuma’s infrastructure will handle that process for the TAO committed through MEXC, although the announcement did not disclose an expected annual yield, lock-up period, or minimum staking amount.
According to Bittensor’s network description, independent subnets compete to produce digital commodities while validators continually assess their relative value. The protocol calls this process Yuma Consensus, a system intended to align the incentives of token holders, validators and miners.
Bittensor’s ecosystem currently contains 128 subnets, according to the company. Individual projects focus on services including AI inference, coding assistants, financial modeling and model training, with token emissions distributed according to their measured contribution to the network.
The exchange integration also gives users an alternative to native subnet staking. CoinGecko explains that direct participation typically requires investors to buy TAO on an exchange, transfer it to a compatible wallet and then use a Bittensor interface to select a validator or exchange TAO for a subnet’s Alpha token.
MEXC and Yuma did not state whether users staking through the exchange would receive exposure to individual Alpha tokens. Their announcement identified TAO staking as the available product, with Yuma providing the underlying validator connection.
TAO traded near $199 at the time of writing, according to CoinMarketCap data supplied with the announcement. The price gave Bittensor a market capitalization of about $1.91 billion, placing the token among the largest crypto assets linked to decentralized AI.
Governance concerns remain part of TAO’s market backdrop Yuma’s partnership with MEXC follows its public criticism of Root Reborn, a proposed Bittensor governance overhaul intended to change how validators allocate capital and reduce continued selling of subnet tokens.
During TAO’s June pullback, Yuma argued that the proposal could turn validators from neutral network operators into active capital managers. The validator group warned that the model could encourage collusion, preferential treatment and frontrunning while pushing subnet developers to focus more heavily on validator relationships.
“Such a change could fundamentally alter the role of validators,” Yuma wrote in its assessment of the proposal.
Supporters of Root Reborn have presented the proposal as a possible response to pressure within Bittensor’s token structure. Critics, including Yuma, have raised concerns about concentrated governance power, strained liquidity and possible regulatory complications.
Those disagreements emerged as TAO suffered a sharp reversal in June. Crypto.news data showed that the token fell nearly 20% from its June 15 peak of about $283, reaching roughly $225 on June 19 as governance concerns, derivatives liquidations and weaker risk appetite weighed on the market.
Despite its objections to Root Reborn, Yuma has continued to support Bittensor as a validator. Its MEXC integration places the group behind a staking channel that can connect millions of exchange accounts to the network’s reward system, while the unresolved governance debate continues to shape how validators may operate in the future.
MEXC adds Bittensor TAO staking for its global user baseThe integration with validator Yuma gives millions of MEXC users access to Bittensor, an AI-focused blockchain whose ecosystem now spans 128 specialized subnets.
Cryptocurrency exchange MEXC has launched staking support for Bittensor’s native TAO token, allowing users to earn rewards by helping secure one of the largest decentralized artificial intelligence networks.
Bittensor validator Yuma announced Tuesday that MEXC has integrated its validator infrastructure to support TAO staking for the exchange’s reported 40 million users. Yuma participates in Bittensor’s consensus mechanism by evaluating the performance of network subnets — specialized AI applications that perform specific machine learning tasks — and assigning weights that help determine how staking rewards are distributed.
The companies said the integration is intended to expand access to the Bittensor ecosystem and increase participation in the network.
Bittensor is a decentralized network that coordinates the development of AI models and services through subnets, which compete for token rewards based on their performance and usefulness to the network. TAO holders can stake tokens to validators, who allocate stake across subnets and earn rewards based on those allocations.
The Bittensor ecosystem currently consists of 128 subnets that specialize in tasks such as AI inference, model training, coding assistants and financial modeling. The ecosystem has expanded as interest in decentralized AI grows, with advocates arguing that open networks such as Bittensor are less susceptible to government or corporate restrictions than proprietary AI models. That argument gained renewed attention after the US Commerce Department restricted public access to certain Anthropic models due to national security and export control concerns.
TAO was trading at around $199 at the time of writing, giving it a market capitalization of roughly $1.916 billion, according to CoinMarketCap.
Cointelegraph is committed to independent, transparent journalism. This news article is produced in accordance with Cointelegraph’s Editorial Policy and aims to provide accurate and timely information. Readers are encouraged to verify information independently.
MEXC adds Bittensor TAO staking for its global user baseThe integration with validator Yuma gives millions of MEXC users access to Bittensor, an AI-focused blockchain whose ecosystem now spans 128 specialized subnets.
Cryptocurrency exchange MEXC has launched staking support for Bittensor’s native TAO token, allowing users to earn rewards by helping secure one of the largest decentralized artificial intelligence networks.
Bittensor validator Yuma announced Tuesday that MEXC has integrated its validator infrastructure to support TAO staking for the exchange’s reported 40 million users. Yuma participates in Bittensor’s consensus mechanism by evaluating the performance of network subnets — specialized AI applications that perform specific machine learning tasks — and assigning weights that help determine how staking rewards are distributed.
The companies said the integration is intended to expand access to the Bittensor ecosystem and increase participation in the network.
Bittensor is a decentralized network that coordinates the development of AI models and services through subnets, which compete for token rewards based on their performance and usefulness to the network. TAO holders can stake tokens to validators, who allocate stake across subnets and earn rewards based on those allocations.
The Bittensor ecosystem currently consists of 128 subnets that specialize in tasks such as AI inference, model training, coding assistants and financial modeling. The ecosystem has expanded as interest in decentralized AI grows, with advocates arguing that open networks such as Bittensor are less susceptible to government or corporate restrictions than proprietary AI models. That argument gained renewed attention after the US Commerce Department restricted public access to certain Anthropic models due to national security and export control concerns.
TAO was trading at around $199 at the time of writing, giving it a market capitalization of roughly $1.916 billion, according to CoinMarketCap.
Cointelegraph is committed to independent, transparent journalism. This news article is produced in accordance with Cointelegraph’s Editorial Policy and aims to provide accurate and timely information. Readers are encouraged to verify information independently.
Bittensor price has slipped and reached $199. TAO’s market structure is dominated by sellers. Bittensor (TAO) opened the month of July under pressure as the bears took over the overall market direction. The digital asset’s momentum is attempting to cross the red line, attracting the bulls into the charts, which is landing on the same page, failing.
Moreover, looking at the recent trading pattern, the trend remains negative, with the asset continuing to trade within an established downtrend. Thus, the bearish price alignment confirms that the sellers dominate the entire market conditions of TAO.
Only the buyers who enter with steady momentum would make the current market tendency turn bullish. Notably, Bittensor is currently trading within the $199.15 threshold after losing 3.61% in value over the last 24 hours. Also, the asset’s daily high is noted at $208.61.
Bittensor’s Key Price Levels to Watch A few upcoming price ranges are highly dependent on Bittensor’s short-term movements. If the immediate support is found at $198.02, the level to follow is likely sitting at $196. A crucial zone observed after the emergence of a death cross could be between $195.21 and $193.17. This area decides whether the price stabilises or continues to fall.
On the flip side, a sudden recovery might take the TAO price toward the $200 range. With a stronger push on the upside, the potent bulls could wake, and the price moves above $202.53, showing stronger momentum. Assuming the formation of a golden cross, the next resistance levels are expected to be between $203.11 and $205.69.
Analysing the Technical Setup of TAO The four-hour trading chart setup reflects a strong bearish trend with aggressive downward momentum. Both the Moving Average Convergence Divergence and signal lines are below zero; the market structure is dominated by sellers.
The MACD line crossing and staying below the signal line indicates that sellers are actively driving the price lower. The TAO market is in a clear distribution phase, and traders wait for the trend to show bullish divergence before looking for a bounce.
In addition, the daily Relative Strength Index (RSI) value resting at around 31.75 hints that Bittensor is knocking at the oversold territory. The bears have been in complete control, pushing the price down significantly over the last several candles.
The downward move is highly mature. This is a cautious zone, and most dedicated traders will watch the asset closely. Furthermore, waits for a definitive bounce off the 30 line to signal that the selling momentum is exhausted.
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Venice AI is pulling in $70 million in annualized recurring revenue through its integration with Bittensor subnet 11, powered by roughly 1.7 million daily API calls.
Delphi Digital, the crypto research firm, projects Venice AI’s total ARR at approximately $200M based on a recent three-week window of subscriber data tracking.
Inside the revenue machine Subnet 11, which previously operated under the name Dippy and has since evolved into TrajectoryRL, specializes in roleplay, companion AI, and prompt optimization. The 1.7 million daily API calls flowing through this subnet translate into revenue-backed demand for subnet tokens.
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TrajectoryRL itself documented roughly $50,000 in revenue during a single month. Scale that across the broader Venice ecosystem and you start to see how the $200M ARR projection from Delphi Digital isn’t just wishful math.
Venice AI distinguishes itself by running a privacy-focused, uncensored AI platform. Its flagship model, Venice Uncensored 1.2, was trained using compute from Bittensor’s Targon subnet. The platform offers chat, image generation, and coding tools.
The token economics behind the curtain Venice’s native token, VVV, began trading in January 2025 and has experienced significant price appreciation amid the broader AI narrative sweeping crypto markets. Holders can stake VVV for API access and earn DIEM credits that translate into computational resources on the network.
The broader Bittensor ecosystem reported approximately $43 million in revenue during Q1 2026 across all subnets.
What this means for investors NVIDIA has been engaging with the decentralized AI market. Institutional interest in decentralized AI infrastructure has been quietly building.
For investors evaluating the VVV token or the broader Bittensor ecosystem, the key metric to watch is sustained API call volume. Revenue projections based on three-week windows, however carefully tracked by firms like Delphi Digital, can be volatile.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
Key HighlightsLeading AI Cryptocurrency Tokens for 2025Bittensor (TAO)Near Protocol (NEAR)Artificial Superintelligence Alliance (FET)Render Network (RENDER)Akash Network (AKT)Is AI Crypto Investment Worthwhile? Bittensor (TAO) incentivizes participants in a decentralized machine learning ecosystem through token rewards NEAR Protocol (NEAR) develops AI-focused infrastructure on a high-speed, cost-efficient Layer 1 network Artificial Superintelligence Alliance (FET) consolidates several AI blockchain initiatives into a unified platform Render Network (RENDER) delivers a distributed GPU marketplace supporting AI and rendering workloads Akash Network (AKT) creates decentralized cloud infrastructure competing with conventional hosting services Leading AI Cryptocurrency Tokens for 2025 The intersection of artificial intelligence and blockchain technology is transforming digital asset markets. An expanding array of cryptocurrency ventures now integrate AI capabilities with distributed ledger systems, opening fresh investment avenues. Below are five notable AI-centered digital currencies deserving attention.
Bittensor (TAO) Bittensor has emerged as a premier AI-driven cryptocurrency initiative. This platform enables developers and academics to supply machine learning algorithms to a distributed network. Participants receive TAO token compensation proportional to their contributions’ utility.
Bittensor (TAO) Price The appetite for artificial intelligence computation keeps expanding. Bittensor presents an open-source counterpart to proprietary AI infrastructure controlled by major technology corporations. While the token experiences volatility, numerous investors recognize its extended-horizon promise.
Near Protocol (NEAR) Near Protocol operates as a scalable Layer 1 blockchain network that has pivoted toward artificial intelligence initiatives. This venture has committed resources to AI-centric infrastructure and developer toolsets for creating AI-enhanced decentralized applications.
NEAR delivers rapid transaction processing and minimal transaction costs, making it appealing for AI application creators. Should artificial intelligence continue propelling blockchain adoption, Near stands well-positioned to capitalize on this trajectory.
Artificial Superintelligence Alliance (FET) The Artificial Superintelligence Alliance consolidates multiple AI blockchain projects within a single comprehensive framework. Its mission involves establishing a network enabling autonomous AI agents to interact and execute functions without dependence on centralized infrastructure.
This initiative has captured investor interest through its ambitious scope and strategic vision. While implementation challenges exist, it maintains status as one of the most substantial and prominent AI ecosystems within cryptocurrency markets.
Render Network (RENDER) Developing AI models demands substantial computational resources. Render Network tackles this challenge by operating a decentralized exchange where participants can access idle GPU processing capacity from network contributors.
Initially launched as a rendering solution for visual content creators, the platform has broadened its scope to accommodate AI computing tasks amid surging graphics processor demand. Render Network bridges those requiring computational power with providers willing to monetize their hardware.
Akash Network (AKT) Akash Network functions as a distributed cloud infrastructure platform. Software developers can secure processing capacity through an open marketplace, frequently at more competitive rates than conventional cloud vendors including Amazon Web Services or Google Cloud Platform.
As artificial intelligence enterprises require additional computational infrastructure, decentralized solutions like Akash are attracting increased recognition. Though currently modest relative to entrenched cloud providers, the project has witnessed rising investor engagement.
Is AI Crypto Investment Worthwhile? AI-focused cryptocurrency ventures present elevated risk profiles compared to more mature digital assets. Numerous projects remain in nascent developmental phases, competitive pressures are substantial, and market dynamics can transform rapidly.
Long-term-oriented investors should prioritize projects demonstrating practical applications, sustained development activity, and expanding user adoption. Pursuing speculative short-term price fluctuations within this sector has proven historically hazardous.
The fusion of artificial intelligence and blockchain technology will likely persist as a dominant trend throughout upcoming years. Bittensor, Near Protocol, Artificial Superintelligence Alliance, Render Network, and Akash Network represent projects constructing foundational infrastructure for this emerging landscape.
Kraken has added spot trading support for Bittensor’s TAO token, giving one of the most closely watched decentralized AI assets a larger regulated exchange venue.
For more details, visit the official Kraken platform.
TL;DR Kraken has listed Bittensor (TAO) for spot trading.The listing expands access to one of crypto’s leading AI-linked tokens.Trading support includes major fiat pairs on Kraken Pro. AI tokens have been one of crypto’s stickiest narratives, but the category has also been messy. Some projects are little more than branding. Bittensor has stood out because it is trying to build a network where machine-learning models, validators, and token incentives interact directly.
Why TAO Listings Matter Exchange listings do not prove long-term value, but they do change access. More venues mean more liquidity, more price discovery, and a lower barrier for traders who may not want to use smaller exchanges or DeFi routes.
For Kraken, TAO fits a broader trend: regulated exchanges are competing to list high-demand thematic assets without looking reckless. Decentralized AI has enough institutional interest to be worth supporting, but enough volatility to require careful user messaging.
The AI Token Test The real question is whether AI tokens can turn narrative into repeat network demand. Bittensor’s supporters believe TAO is tied to a genuine decentralized intelligence market. Skeptics see a complex token economy wrapped around a hot theme.
The Kraken listing will not answer that debate, but it does make the market more accessible. In crypto, that often matters first. Liquidity comes before judgement, and wider TAO trading gives investors another way to express a view on decentralized AI.
This article is based on information from Kraken.
This article was written by the News Desk and edited by Samuel Rae.
Semiconductor stocks beat both Big Tech and crypto in the first half of 2026. The Philadelphia Semiconductor Index gained 102%, while the Magnificent Seven fell 2% and Bitcoin (BTC) lost 33%, according to Deutsche Bank and CoinGecko data.
Wall Street banks now disagree about the second half. Goldman Sachs expects investors to keep backing chipmakers, while Morgan Stanley argues the trade has already started to unwind.
How Semiconductors Beat Big Tech and Crypto in H1 2026Deutsche Bank’s half-year scoreboard ranked the Philadelphia Semiconductor Index as the best-performing major asset in the world. The benchmark gained 102% between January and June, according to a chart shared by Schaeffer’s Investment Research.
Korea’s chip-heavy KOSPI followed with an 89% gain, while Japan’s Nikkei added 35%. In contrast, the Nasdaq rose just 13% and the S&P 500 slightly under 10%.
The Magnificent Seven, the group that carried US markets for two years, ended the half 2% lower.
H1 2026 returns by asset, showing semiconductors beat Big Tech and crypto / Source: BeInCryptoCrypto fared even worse. Bitcoin slid 33% in the first half, falling from roughly $87,500 to below $59,000, CoinGecko data shows. Ether (ETH) dropped 47%, and Solana (SOL) fell 41%. Traditional hedges offered no shelter either, as gold slipped 7% and silver lost 18%.
ETF flows tell the same story. The VanEck Semiconductor ETF climbed 72%, and the iShares Semiconductor ETF gained 99%, while the Roundhill Magnificent Seven ETF declined slightly.
Meanwhile, a shortage of memory and storage has led chipmakers to raise prices as the industry approaches $1 trillion in annual revenue.
SOX vs MAGS / Source: TradingviewGoldman Backs the Earners While Crypto Trades Like a SpenderGoldman Sachs derivatives specialist Brian Garrett explained the divergence in a client note last week, as reported by Stocktwits.
“One of the reasons for the decrease in Mag7 exposure seems almost too simple as it’s been hiding in plain sight for months. The market is rightly rewarding the names that earn (capex beneficiaries, semiconductors, etc) while at the same time questioning the names that spend (hyperscalers).”
Hyperscalers such as Microsoft, Amazon, Meta, and Google pour hundreds of billions of dollars into data centers. Markets increasingly treat that spending as a cost without a proven payoff.
Meanwhile, companies that sell chips, memory, and equipment recognize revenue today.
That logic hits crypto hardest. Bitcoin earns nothing from the AI buildout, so it traded alongside the spenders rather than the earners. The pressure intensified after Michael Burry’s bubble warning sent memory stocks sliding this month.
The same split appeared inside the crypto market. Render (RNDR) gained 17%, and NEAR Protocol (NEAR) added 18% in the first half, while most majors fell over 30%, per CoinGecko. Both tokens sell exposure to computing power, the scarcest resource of this cycle. However, the pattern is not universal, as Bittensor (TAO) and Fetch.ai (FET) still declined.
H1 2026 crypto returns, AI compute tokens vs majors / Source: BeInCryptoBitcoin miners occupy the middle ground. Riot Platforms keeps selling BTC while funding its AI pivot, and rival miners chase similar data center deals.
Morgan Stanley Sees the Chip Trade TurningMorgan Stanley strategist Michael Wilson argued on Monday that chip momentum is fading as investors rotate toward hyperscalers, Bloomberg reported. The Philadelphia index has dropped almost 14% from its June record, though it remains 123% higher since September.
Cracks appeared before July. A blowout Micron forecast failed to sustain the rally, and the KOSPI triggered circuit breakers in June. Wilson, therefore, favors hyperscalers in the near term and expects them to soften spending plans.
JPMorgan strategist Mislav Matejka believes the rally will broaden beyond technology in the second half.
“AI is unlikely to be the only story in town.”
For crypto, this debate matters more than it appears. If capital exits the crowded chip trade and hunts laggards, Bitcoin ranks among the largest liquid laggards available. The token trades near $61,626 after a weekend short squeeze briefly lifted it toward $64,000.
Still, no major bank has named digital assets as the next rotation target. The coming weeks will show whether hyperscaler earnings confirm the turn, and whether any freed capital finds its way back to crypto.
AI crypto refers to a category of blockchain-based tokens and projects that integrate artificial intelligence into their core function, ranging from decentralized machine learning networks to AI-powered trading agents and data marketplaces. Rather than describing a single technology, “AI crypto” is an umbrella term covering any project where AI and blockchain infrastructure work together, either by using AI to improve blockchain operations or by using blockchain to decentralize and monetize AI systems. The sector’s combined market capitalization sits at roughly $18–28 billion in 2026, driven by rising demand for cheaper, decentralized alternatives to centralized AI computing.
Key Takeaways AI crypto describes tokens and platforms combining artificial intelligence with blockchain technology, not a single coin or protocol The category spans decentralized AI compute networks, on-chain trading agents, AI-powered data marketplaces, and AI-driven content generation platforms NEAR Protocol and Bittensor (TAO) rank as the two largest AI crypto tokens by market capitalization, each above $2 billion, followed by DeXe, Internet Computer, and Render AI crypto trading bots have become one of the most searched applications of the sector, using AI to automate buy/sell decisions based on market data The sector remains highly speculative, with valuations often driven more by AI-related hype cycles than by proven usage What Does “AI Crypto” Actually Mean AI crypto sits at the intersection of two of the most-discussed technology trends of the 2020s: artificial intelligence and blockchain. In practice, projects labeled as AI crypto generally fall into one of two directions. Some use blockchain to decentralize AI infrastructure — for example, distributing GPU compute power across a network of independent providers instead of relying on centralized cloud providers. Others use AI to enhance blockchain-native functions, such as autonomous trading bots, on-chain data analysis, or smart contract auditing.
Because the term covers such a wide range of use cases, it’s more accurate to think of “AI crypto” as a sector rather than a specific type of token, similar to how “DeFi” describes an entire category of financial applications rather than one protocol. For a broader look at how blockchain technology functions at a foundational level, see our guide to what is blockchain.
What Are AI Crypto Coins AI crypto coins are the native tokens of blockchain projects built around artificial intelligence use cases. These tokens typically serve one or more practical functions within their ecosystem: paying for AI compute resources, staking to participate in network governance, rewarding data contributors, or serving as the transactional currency for AI agent interactions. Unlike purely speculative meme tokens, most established AI crypto coins are tied to a specific technical product, such as a decentralized GPU marketplace or an AI model training network, though token value doesn’t always track the underlying platform’s actual usage.
Types of AI Crypto Projects Infrastructure tokens power decentralized computing networks that provide the GPU and processing power AI models require, offering an alternative to centralized cloud providers like AWS or Google Cloud.
AI agent tokens support autonomous software agents that can execute on-chain actions — trading, portfolio management, or smart contract interactions — without constant human input.
Data marketplace tokens facilitate the buying, selling, or licensing of datasets used to train AI models, often with blockchain-based verification of data provenance and quality.
Application-layer tokens power consumer-facing AI tools built on blockchain rails, including AI-generated content platforms, prediction markets, and analytics tools.
Top AI Crypto Coins by Market Cap The AI crypto sector’s combined market capitalization stood at roughly $18 billion in early July 2026, with 24-hour sector volume around $2.5 billion, according to CoinMarketCap’s AI & Big Data category. The following projects consistently rank among the largest by market cap across major data providers:
CoinCategoryMarket Cap (Jul 2026)What It DoesNEAR Protocol (NEAR)AI agents~$2.57BInfrastructure for autonomous AI agents transacting on behalf of users, with sub-second transaction finalityBittensor (TAO)Model training~$2.35BDecentralized machine learning network where AI models compete and earn rewards for output quality across specialized subnetsDeXe (DEXE)AI governance/DeFi~$2.04BCombines AI-assisted decision tooling with on-chain DAO governance infrastructureInternet Computer (ICP)Compute/hosting~$1.21BFunctions as a decentralized “world computer” supporting AI-powered applications without centralized cloud infrastructureRender (RENDER)GPU compute~$828MDecentralized network for renting GPU power, originally built for graphics rendering and increasingly used for AI workloadsFilecoin (FIL)Decentralized storage~$624MIncreasingly used to store the large training datasets and model checkpoints AI systems requireInjective (INJ)AI-powered DeFi~$466MLayer-1 built for finance that has expanded into AI-assisted trading infrastructure and on-chain agent toolingArtificial Superintelligence Alliance (FET)AI agents/data~$395MFormed from the merger of Fetch.ai, SingularityNET, and Ocean Protocol, spanning autonomous agents and data marketplaces NEAR Protocol and Bittensor have traded the top spot in the AI crypto category through mid-2026, reflecting investor preference for projects with measurable on-chain activity — compute jobs processed, models trained, agent transactions settled — over tokens using “AI” as a marketing label without a working product behind it.
AI Crypto Trading Bots Explained One of the most practically searched applications within the AI crypto sector is the AI trading bot — software that uses machine learning models to analyze market data and execute buy or sell orders automatically, without requiring constant manual input from a trader. These bots typically operate by identifying patterns in price action, order book depth, or on-chain data, then acting on predefined strategies faster than a human could manually track multiple markets. While AI trading bots can process far more data than manual trading, they carry the same fundamental risk as any automated strategy: poor underlying logic or unexpected market conditions can lead to losses just as quickly as gains.
Related tools include AI-driven portfolio management platforms, which apply similar automated decision-making to rebalancing across multiple assets rather than executing individual trades.
What Is the Best AI Crypto to Invest In There is no single “best” AI crypto token, and any project claiming otherwise should be treated with skepticism. The more useful question is which category of AI crypto project fits a given risk tolerance and thesis. Investors focused on measurable, verifiable usage often gravitate toward decentralized compute infrastructure like Bittensor or Render, since GPU rental volume and network revenue can be checked on-chain. Those willing to accept higher risk for higher potential upside sometimes look toward earlier-stage AI agent platforms, though these carry substantially more uncertainty given how early the agent economy remains. As with any crypto investment, position sizing and independent research into a project’s actual technical product matter more than following sector-wide hype.
AI Crypto Tokens vs. Traditional Cryptocurrencies The core difference between AI crypto tokens and traditional cryptocurrencies like Bitcoin lies in their intended function. Bitcoin was designed primarily as a decentralized store of value and payment network, with no native connection to artificial intelligence. AI crypto tokens, by contrast, are generally built to serve a specific role within an AI-related ecosystem — paying for compute, incentivizing data sharing, or enabling autonomous agent transactions. This makes AI crypto tokens more comparable to utility tokens in other sectors, such as DeFi governance tokens, than to Bitcoin’s pure monetary use case.
Valuation dynamics also differ. AI crypto tokens have shown a tendency to move in correlation with broader AI industry sentiment — rallying alongside major AI model releases or enterprise AI announcements — rather than tracking crypto-market-specific catalysts like Bitcoin halvings or ETF flows. For live pricing on major cryptocurrencies that frequently intersect with AI-driven trading and agent activity, see Bitcoin price, Ethereum price, and Solana price — all three networks host significant AI-related token activity.
Risks and Considerations The AI crypto sector carries risks beyond typical crypto volatility. Many projects are still pre-revenue, with token valuations based on speculative future adoption rather than current usage. The rapid pace of AI development also means today’s cutting-edge decentralized AI infrastructure could be made obsolete by advances in centralized AI computing, undermining the core value proposition of some projects. Token unlock schedules and emission rates also vary widely across the sector, which can dilute holder value even when the underlying project continues to grow.
Additionally, the AI crypto label itself has attracted opportunistic token launches seeking to capitalize on AI-related search and social media interest without offering a genuine technical product. Analysts generally recommend evaluating any AI crypto project against three factors: whether it has real, measurable utility rather than just AI branding; whether developer activity is active and sustained; and whether tokenomics include reasonable dilution risk. For broader context on evaluating crypto projects, see our coverage on Crypto News Today and Crypto Market Today.
Everyone who bought Nvidia in 2023 remembers why it felt like a leap of faith at the time. The AI story was still new, the chart hadn’t caught up yet, and most people waited for proof before buying in. That proof arrived, and the trade that followed became one of the biggest of the decade. Stargate LLM‘s presale sits in that same early window right now. Batch 1 just opened at $0.0005 per token, well ahead of any launch or listing.
Bittensor and Render, two of the AI sector’s most established names, show what that same trade looks like once the proof has already arrived. TAO trades near $250 with a market cap close to $3 billion. TAO trades near $250 as of late June 2026, ranked around #27 to #37 with a market cap close to $3 billion. And Render is holding through a broader market pullback this week.
Stargate LLM: Getting In Before the Chart Exists Global AI spending is on track to grow from roughly $391 billion in 2025 to more than $1.2 trillion by 2030. That kind of growth tends to reward the people who position early, and Stargate LLM is built to be one of the platforms through which growth flows. It’s not a wrapper riding on top of someone else’s model. It’s a full AI platform in its own right, offering conversational chat, image generation, video generation, private search, and its own agent marketplace, built to stand alongside names like OpenAI’s ChatGPT and Anthropic’s Claude rather than orbit around them.
The presale is structured in 10 batches, with the price stepping up at each stage. Batch 1 is open right now at $0.0005 per token, a 50x discount to the confirmed $0.025 launch price. The earlier a batch is bought into, the larger the theoretical multiple to launch, and Batch 1 alone carries a 50x path to listing, 9 batches ahead of where the presale eventually closes. That structure mirrors exactly what early infrastructure investors couldn’t get in 2023: a seat at the table before the breakout moment, not after it.
Token supply is fixed at 150 billion, with no additional minting planned after launch, and only 1% of that supply is set aside for the team. The rest flows to presale participants and to the community that will actually use the platform once it’s live. It’s the kind of allocation that signals a project built around its users first. This is exactly the kind of early window people are searching for when they look for the next 1000x AI crypto, a token priced before the market has had any real chance to weigh in.
Bittensor: A Mature Project Built Around Scarcity Bittensor has spent the past year building its case around supply. The network capped its total token count at 21 million and completed its first halving in December 2025, cutting new token issuance in half. Bittensor ran its first halving on Dec. 12, 2025, cutting daily emissions from 7,200 to 3,600 TAO against a fixed 21 million cap, the same hard-cap design Bitcoin uses.
TAO daily price chart — June 30 | Source: crypto.news
Roughly 70% of the circulating supply is staked, locking away a large share of the tokens in circulation. It’s a well-established, actively used decentralized machine learning network, and TAO remains one of the most recognized names in AI crypto. Like most projects with a multi-year track record, its price today reflects a market that has already had time to study it closely.
Render: Real Infrastructure, Growing By the Week Render connects people who need computing power for AI and rendering work with people who have GPUs sitting idle. The network recently expanded its capacity significantly, adding roughly 60,000 GPUs through a new partnership with Salad Technologies, approved through the project’s own governance process. It’s a genuine, functioning piece of AI infrastructure with real usage behind it.
Prices across the AI token sector dipped together this week amid a broader market pullback. A detailed market piece describes native DeFi, AI, and privacy tokens, including FET, TAO, RENDER, ZEC, and XMR, all falling as risk appetite faded across the board. which is normal for an established asset trading through short-term market cycles.
The Bottom Line Bittensor and Render are two of the strongest, most established names building AI infrastructure on-chain today, and both are worth understanding on their own terms. Stargate LLM offers something different: a chance to get positioned at the very start of a project’s story, at Batch 1 pricing, before the market has set the price at all.
For anyone comparing the two paths, established infrastructure with a known track record or an early presale window still ahead of its own chart, both are real ways to be part of the AI crypto trade. They’re just at different points on the same road, and Stargate LLM is at the very beginning of its own.
Explore Stargate LLM:
Website: stargate.org
Buy: own.stargate.com
Telegram: https://t.me/StargatellmOfficial
Twitter/X: https://x.com/stargatellm
Disclaimer: This is a Press Release provided by a third party who is responsible for the content. Please conduct your own research before taking any action based on the content.
Yuma launched a diversified fund focused on the Bittensor ecosystem. The strategy combines TAO with exposure to multiple AI subnets. The fund targets institutional and accredited investors. The new vehicle combines exposure to Bittensor’s native TAO token with a portfolio of subnet assets, allowing investors to access the broader decentralized AI economy through a single managed strategy.
New Fund Targets Decentralized AI Yuma, the digital asset infrastructure and investment firm owned by Digital Currency Group (DCG), announced the launch of the Yuma Total Market Fund on June 25. The vehicle is designed to provide institutional allocators and accredited investors with broad exposure to Bittensor, one of the fastest-growing decentralized artificial intelligence networks.
Unlike traditional crypto investment products that focus on a single token, the new fund combines exposure to TAO, Bittensor’s native cryptocurrency, with assets linked to the network’s expanding ecosystem of application-specific subnets. The approach is intended to give investors access to multiple segments of the decentralized AI economy through a single professionally managed portfolio.
Yuma also confirmed that the fund has secured seed capital from an anchor investor, although neither the investor’s identity nor the size of the commitment was disclosed.
Expanding Beyond Token Exposure The launch reflects growing institutional demand for diversified exposure to blockchain-based artificial intelligence rather than concentrating solely on individual cryptocurrencies.
Bittensor operates as an open-source decentralized machine-learning network that rewards contributors for providing AI models, computing power and specialized data. Its architecture currently supports 128 active subnets, representing distinct AI applications ranging from data marketplaces and cloud infrastructure to cybersecurity, fraud detection and pharmaceutical research.
Collectively, those subnet assets represent an ecosystem valued at more than $900 million, according to Yuma.
By combining TAO with subnet exposure, the Total Market Fund seeks to capture growth across both the protocol’s base layer and its expanding application economy.
Yuma describes the strategy as an alternative to conventional AI investments concentrated in a handful of publicly traded technology companies or long-duration venture capital funds. Instead, the firm argues that decentralized AI offers investors liquid exposure to an emerging sector built around open participation and blockchain incentives.
Third Product in Growing Asset Management Platform The Total Market Fund becomes the third investment strategy within Yuma Asset Management’s expanding product lineup.
The firm’s existing Subnet Composite Fund provides market-cap-weighted exposure across the broader subnet ecosystem, while the Large Cap Subnet Fund focuses on the largest and most established subnet assets. The new strategy combines elements of both approaches by integrating protocol-level exposure through TAO alongside investments spanning the wider Bittensor network.
The launch reflects increasing product specialization as institutional investors seek more sophisticated ways to access emerging digital asset sectors beyond Bitcoin and Ethereum.
Rather than offering passive token exposure, Yuma is positioning its products as thematic investment strategies centered on decentralized artificial intelligence, an area attracting growing attention from institutional capital.
Institutional Interest in Decentralized AI Accelerates The launch comes as artificial intelligence remains one of the fastest-growing investment themes across both traditional finance and digital assets.
Barry Silbert, founder and chief executive of both DCG and Yuma, said the new fund is intended to provide investors with exposure to an open AI ecosystem rather than relying exclusively on a small group of centralized technology companies.
AI is becoming a core portfolio allocation. But for most investors it’s limited to a few, big players
Bittensor $TAO offers access to a decentralized network of AI projects@YumaGroup opens the door for investors to Bittensor and decentralized AI https://t.co/A5C8AXEDMU
— Barry Silbert (@BarrySilbert) June 25, 2026
He argued that decentralized networks such as Bittensor allow developers, researchers and infrastructure providers to participate directly in AI innovation while creating new investment opportunities tied to blockchain-based incentive systems.
The product also reflects broader institutional interest in tokenized infrastructure and blockchain-native investment strategies. As digital asset markets mature, fund managers are increasingly creating sector-specific portfolios targeting themes such as decentralized finance, tokenization, stablecoins and artificial intelligence instead of relying solely on broad cryptocurrency exposure.
For institutional investors, the Yuma Total Market Fund represents another example of how digital asset managers are packaging blockchain infrastructure into traditional investment vehicles. Whether decentralized AI can emerge as a distinct institutional asset class will depend on continued developer adoption, subnet growth and the ability of networks such as Bittensor to compete with established AI platforms in both innovation and commercial deployment.
@trishoolai, the team behind Bittensor's (@opentensor) subnet 23, has released HaloGuard 1.0, a real-time prompt safety model that claims top-one rankings across seven established safety benchmarks. The launch, announced on July 2, puts a relatively compact model up against offerings from much larger AI labs.
Small models, strong resultsHaloGuard comes in two sizes. The 4B parameter version claims first place across all seven benchmarks it was tested on. The 0.8B version is positioned as a lightweight option that outperforms models several times its size, making low-latency deployment far more practical for developers building on AI pipelines or agent frameworks.
The core design philosophy is interception rather than remediation. HaloGuard screens prompts before they reach the underlying model or agent, catching potentially harmful inputs at the front door rather than filtering outputs after damage is done.
Built to break itselfThe subnet's incentive structure is what distinguishes it from conventional safety tooling. The system creates a competitive environment where miners submit adversarial prompts to identify potentially problematic behaviors. In plain terms, miners are paid to find ways to break the model, and each successful attack feeds back into a patch cycle. Trishool turns AI red-teaming into a decentralized, ongoing process, so that as AI gets smarter, the defenses and safety checks improve alongside it.
Trishool describes itself as a decentralized alignment layer designed to establish sovereign, market-validated safety for artificial intelligence, built to create a trustless mechanism for safe superintelligence by automating the safety loop at a planetary scale.
An earlier alpha version of HaloGuard is already running live on the Chutes subnet, the AI inference subnet that generated $43M in Q1 2026 real AI revenue, where it has reportedly recorded an 87% F1 score on real traffic since May. That live deployment gives the benchmark claims some grounding in production data, rather than controlled test conditions alone.
Bittensor is an open-source platform where participants produce digital commodities including AI inference and training. It is composed of distinct subnets, each an independent community of miners who produce the commodity and validators who evaluate the miners' work. HaloGuard's launch is a concrete example of that model being applied directly to AI safety infrastructure.
A Bittensor subnet called Trishool just dropped a safety model that beats every other open-weight guard model on the market. HaloGuard 1.0, released on July 2 by Astroware Labs, achieved top marks across seven established prompt-safety benchmarks, and it did so with a model small enough to run as a lightweight filter.
HaloGuard 1.0 comes in two sizes: a 0.8B parameter version and a 4B parameter version. The 4B variant is the headline grabber, securing first place across all seven benchmarks it was tested against.
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Both models function as runtime guards, meaning they operate in real time to screen prompts before they hit the LLM or agent handling user requests. This is a fundamentally different approach from post-generation filtering, which tries to catch harmful outputs after the damage is already done.
The earlier Alpha version of HaloGuard was integrated into the Chutes subnet on May 19 for live AI chat applications. That deployment hit an 87% F1 score on safety benchmarks including Aegis and HarmBench, which gave the team real-world validation before pushing to version 1.0.
Trishool, designated SN23 on the Bittensor network, operates as a decentralized adversarial red-teaming network. Miners on the subnet are incentivized to continuously attack and stress-test safety models, finding vulnerabilities so they can be patched. The more effectively a miner breaks the model, the more they earn.
The subnet was relaunched roughly seven months before the HaloGuard 1.0 announcement. Astroware Labs, which operates the subnet, has positioned its work as building “production-grade safety layers” for AI applications.
A full arXiv paper detailing HaloGuard 1.0’s architecture and benchmark results is expected soon.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
ACH: Alchemy Pay Integrates $TAO on Its On-Ramp Solution, Empowering Bittensor's Ecosystem with Seamless Access to the Native Token for Decentralized AI
Bittensor cut its emissions in half in December, and roughly 70% of the supply is locked in staking. The supply side looks tight, but a halving only moves price if demand shows up to meet it.
Summary
Bittensor (TAO) ran its first halving on Dec. 12, 2025, cutting daily emissions from 7,200 to 3,600 TAO against a fixed 21 million cap, the same hard-cap design Bitcoin uses. TAO trades near $250 as of late June 2026, roughly 65% below its early-2024 record near $757, ranked around #27 to #37 with a market cap close to $3 billion and only about 11 million tokens in circulation. The bull case rests on a tightening float: with around 70% of supply staked for roughly 10% yield, the halved emissions slowly thin out sell-side pressure, which can lift price if demand holds or grows. The bear case is that a halving is a supply event the market already knew about, and TAO’s real problem is proving its subnets capture lasting value instead of riding AI-narrative momentum that fades. Analyst forecasts for 2026 run wide, from Gate near a $236 average to Coinpedia eyeing a $500 reclaim, with the outcome hinging on subnet revenue, ETF flows, and the broader AI trade more than on the halving alone. Bittensor’s first halving is already in the past. It happened on Dec. 12, 2025, and the daily issuance of TAO dropped from 7,200 tokens to 3,600 overnight. So the live question for 2026 is not whether the halving will happen. It is what a halving actually does to a token whose price sits 65% below its record, whose technical picture is bearish, and whose deeper story is still unproven. The supply math is real. Whether it matters depends on demand, and that is the harder part of the forecast.
This piece walks through how the Bittensor halving works, why a supply cut takes months to filter into the market, the demand-side question the halving does not answer, what the charts say at current levels, the institutional wildcard around a possible spot ETF, and where analysts think TAO could trade in 2026. It closes with bull, base, and bear scenarios and a short FAQ.
How the Bittensor halving actually works Bittensor is an open marketplace for machine intelligence. Models, compute, and data compete inside specialized markets called subnets, and the network scores their output through a mechanism known as Yuma Consensus.
TAO is the settlement token that pays for useful work and secures the network through staking. The protocol was started in 2019 by AI researchers Ala Shaabana and Jacob Steeves, and its token design borrows directly from Bitcoin: a fixed cap of 21 million coins and a halving schedule that cuts new issuance over time.
The December 2025 halving was the first of these events. Daily emissions fell from 7,200 TAO to 3,600. In plain terms, the network now mints half as much new TAO each day as it did before. Miners and validators who earn TAO for their contributions receive a smaller flow of new tokens, which over time means less fresh supply hitting the market. The mechanism is the same logic that underpins Bitcoin halvings, where reduced issuance has historically preceded periods of price strength, though the cause and effect is never as clean as the charts make it look in hindsight.
The key difference between a halving in theory and a halving in practice is timing. Issuance dropped instantly on the halving date, but the effect on circulating supply is gradual. The tokens already in circulation do not disappear, and the slower drip of new supply only changes the balance of buyers and sellers over weeks and months, not in a single candle. That is why the halving is better understood as a structural shift in the background rather than a switch that flips price higher on the day.
Why the supply cut takes months to bite The most important number for the supply thesis is not the emission rate. It is how much TAO is locked away and cannot be sold. Roughly 70% of the circulating supply is staked by validators and delegators, who earn an annual yield in the region of 10% for securing the network. Staked tokens are not idle, but they are also not sitting on exchange order books waiting to be dumped. That combination, halved emissions plus a high staking ratio, is what makes the Bittensor float look unusually thin compared with most tokens of similar size.
Here is the chain of logic the bulls lean on. New supply has been cut in half. A large majority of existing supply is staked and earning yield, so holders are paid to keep it locked. If demand for TAO stays flat or rises while the liquid, sellable float shrinks, the price pressure shifts upward over time. This is the classic supply-shock argument, and on paper it is coherent. With only about 11 million of the 21 million cap in circulation and most of that staked, the genuinely tradable supply is a fraction of the headline number.
The honest caveat is that supply shocks are slow and conditional. The phrase doing the heavy lifting is “if demand stays flat or rises.” Reduced emissions cannot lift a price by themselves if buyers walk away faster than sellers do. Through the first half of 2026, that is roughly what happened: TAO slid toward $200 in early June before rebounding, even though the halving was months in the rearview mirror. The supply setup was already in place, and it did not stop the drawdown. The lesson is that the halving loads the spring, but something on the demand side has to pull the trigger.
The demand side the halving does not solve This is the part of the forecast that actually decides where TAO goes, and it has nothing to do with the halving. Bittensor’s value depends on whether its subnets capture real, durable economic demand for machine intelligence, or whether TAO is mostly a high-beta proxy for AI enthusiasm that rises and falls with the narrative.
There is a real case to make. The subnet ecosystem has expanded past 120 active markets, each handling a specialized task such as inference, compute, data, or prediction. The network reported around $43 million in Q1 2026 revenue from AI services, which is a concrete sign that money is moving through the system instead of just speculation.
The Dynamic TAO, or dTAO, upgrade lets subnets allocate emissions based on real demand instead of fixed rewards, which is meant to price intelligence by the market and push Bittensor from a research project toward actual economic activity. The ambition is large: to be the settlement layer for intelligence itself, the place where models, compute, data, and incentives meet in one market.
The bear reading is that this is still unproven, and the network has shown it can break. In April 2026, a high-profile subnet exit triggered a roughly 25% price drop, exposing how much concentration and governance fragility sit underneath the optimistic story. The market punished the weak decentralization signal fast.
The deeper worry is value capture: even if subnets generate revenue, it is not yet clear how much of that value flows back to the TAO token itself rather than to the subnet operators or token holders downstream. An AI token can have busy subnets and still struggle to translate that activity into sustained token demand.
When AI excitement runs hot across the market, TAO tends to jump, and when attention rotates elsewhere, it tends to fade. That correlation is the bear case in one sentence: if TAO is mostly AI-hype beta, the halving will not save it.
NEW: $TAO rallies 30% in 12 hours after Anthropic AI model suspension. The move highlights interest in decentralized AI alternatives like Bittensor pic.twitter.com/YrNJDKlks3
— crypto.news (@cryptodotnews) June 16, 2026 What the charts say right now At current levels near $250, TAO sits in a bearish-to-neutral technical posture. Through June, it traded below the cluster of 50-day, 100-day, and 200-day exponential moving averages sitting roughly between $256 and $270, which means the medium-term trend has been pointing down and that band overhead acts as resistance. Momentum readings have hovered in weak-to-neutral territory, with relative strength index values in the mid-30s to mid-50s depending on the day, not oversold enough to scream reversal and not strong enough to confirm one.
TAO daily price chart — June 30 | Source: crypto.news The levels traders watch are clear. On the downside, the $200 area has acted as a line in the sand through June, and a decisive break below it opens the door toward the February low near $163. On the upside, the first hurdle is reclaiming that $256 to $270 moving-average band, and above it the structure points toward $352 and then $396, the levels several analysts flag as the gateway to a larger move.
The longer-term chart frames the whole range: an accumulation floor around $160 to $200 and a distant ceiling near the $720 to $760 zone that produced the record in early 2024. TAO has cycled inside that channel before, finding demand at the lows and heavy profit-taking at the highs.
The takeaway from the charts is that TAO is not in a breakdown, but it is not in an uptrend either. It needs to reclaim its moving averages before the supply thesis gets any technical confirmation, and until it does, the halving narrative is a fundamental tailwind fighting a bearish trend.
The institutional wildcard The most underpriced catalyst in the TAO forecast may be the one that has nothing to do with the chart. Grayscale filed an S-1 for a Bittensor trust on Dec. 30, 2025, and its Grayscale Bittensor Trust is already live over the counter, giving accredited investors a regulated wrapper for TAO exposure. Bitwise has also filed for a spot TAO product, with a U.S. regulatory decision expected around August 2026. The exact timing is not guaranteed, and approval is not certain, but the direction of travel matters.
The reason this is a wildcard rather than a sure thing is the corridor it opens. Once an asset is treated as ETF-eligible, it stops being dismissed as a pure speculation and starts being treated as infrastructure exposure that funds can hold without touching spot crypto directly. Bitcoin went through this in its earlier institutional phase, and Ethereum followed.
TAO is now entering the same corridor as the leading decentralized-AI asset. Anticipation alone can move price, because spot buyers tend to position early when future access looks credible.
There is a broader narrative tailwind too. When confidence in centralized AI wobbles, capital has flowed toward decentralized alternatives, and one such episode pushed an estimated $2.87 billion into AI crypto tokens inside a single week. TAO is the default beneficiary of that rotation given its position as the category leader by market cap. The flip side is that this same dependence on the AI narrative is exactly the fragility the bears point to: flows that arrive on a narrative can leave on one too.
What analysts forecast for TAO in 2026 Forecasts for TAO in 2026 span an enormous range, which is itself the honest signal: the outcome depends on variables no model can pin down. The figures below are third-party projections, presented as a spread of views, not as targets this publication endorses.
On the cautious end, Gate’s model centers 2026 around an average near $236, with a projected low close to $130 and a high around $318, essentially expecting TAO to hold near current levels with wide swings. Coindataflow’s experimental forecast sits in a similar low band, with a 2026 high near $281. In the middle and higher, Changelly’s analysis points to a 2026 range of roughly $388 to $472 with an average near $402, while Cryptopolitan’s technical read frames a $134 to $570 band with an average around $475.
Coinpedia takes a more constructive technical view, arguing that if TAO clears resistance at $352 and $396 in the 1st half of the year, the path opens toward a $500 reclaim. Looking further out, long-term projections from several of these firms cluster in a $900 to $3,000 range for 2030, premised on decentralized AI demand expanding and TAO holding its category lead.
The width of that spread, from a low near $130 to highs above $570 in the same year, is not a failure of analysis. It is an accurate reflection of how much hinges on whether subnet demand compounds, whether an ETF arrives, and whether the AI trade stays in favor. The halving sets the supply backdrop. These other forces decide the magnitude.
How the Bittensor halving compares with Bitcoin’s The halving thesis borrows its emotional weight from Bitcoin, where four-year supply cuts have lined up with major bull runs. The comparison is useful, but it breaks down in ways that matter for the forecast. Bitcoin’s halving reduces the new supply paid to miners who secure a settlement network whose demand driver is, broadly, monetary: people want to hold Bitcoin as a store of value.
Bittensor’s halving reduces the new supply paid to miners and validators who produce and verify machine intelligence, and TAO’s demand driver is supposed to be usage of that intelligence through subnets. Those are different engines.
The practical consequence is that a Bittensor halving cannot lean on the same reflexive narrative. Bitcoin’s halvings work partly because a huge population of holders believes they work, which makes the belief partly self-fulfilling. TAO does not yet have that scale of conviction, and its price has shown it: the token fell after the December halving instead of rallying on it, because the AI-token market cared more about subnet performance and the broader risk environment than about a supply chart. The halving is real and structurally helpful, but anyone modeling TAO on a clean Bitcoin-style post-halving curve is importing an assumption the data has not yet earned.
There is also a proportionality difference. Bitcoin’s reduced issuance is a small fraction of its already-large circulating supply, so the supply effect is gradual while the narrative effect is immediate.
For TAO, the emission cut is proportionally larger against a much smaller circulating base, which should make the mechanical supply effect more potent over time, yet the narrative effect is weaker because fewer participants treat the halving as gospel. The net is a token where the fundamentals of the halving may matter more than they do for Bitcoin, while the storytelling matters less.
The deeper design point sits underneath all of this. Bittensor was built by Ala Shaabana and Jacob Steeves in 2019 around Yuma Consensus, the mechanism that scores and rewards useful machine-intelligence work. That design is what lets the network claim it pays for output instead of raw hardware uptime, and it is the foundation of the value-capture argument. The halving sharpens the supply side of that design, but it does not resolve whether the scoring turns into durable token demand, which remains the open question the price keeps asking.
What to watch through the rest of 2026 For readers tracking TAO instead of chasing headlines, a short list of signals will reveal which scenario is unfolding well before the price confirms it. The first is subnet revenue: the roughly $43 million reported for the first quarter is the number to watch for growth, because rising real revenue is the strongest evidence that the value-capture story is working instead of stalling. The Second is the moving-average band between $256 and $270; reclaiming and holding above it would be the first technical sign the bearish trend has turned.
The third is the ETF timeline, with a U.S. decision expected around August 2026. An approval, or even rising odds of one, would open the institutional corridor the bull case needs, while a denial or a delay removes a catalyst the market has started to anticipate.
The fourth is governance stability: after the April subnet exit that triggered a 25% drop, any repeat of concentration or governance trouble would confirm the fragility the bears emphasize and could undo months of recovery in days. The fifth is the health of the broader AI trade, since TAO has behaved as a high-beta proxy for AI sentiment, and a rotation out of AI tokens would pressure it regardless of its own progress.
Watched together, these five tell a more reliable story than any single price target. If subnet revenue climbs, the moving averages flip, and the ETF path advances, the supply setup from the halving finally has demand to work with, and the bull case gains real footing. If revenue stalls, governance wobbles, and the AI trade cools, the thin float will amplify the downside instead of cushioning it. The halving set the stage in December. These signals decide whether anyone shows up to use it.
Bull, base, and bear scenarios for TAO The scenarios below combine the supply setup with the demand and institutional variables that actually drive the outcome. They are illustrative ranges built from the third-party forecasts above and current market structure, not guarantees.
Bull case In the bull scenario, the halving thesis works as designed and demand shows up to meet the tightening float. Subnet revenue keeps climbing from the $43 million Q1 pace, dTAO routes emissions toward markets with real usage, and the value-capture question starts to resolve in TAO’s favor. A spot ETF decision lands favorably or looks likely, pulling regulated capital into a thin float where roughly 70% of supply is staked and out of reach. TAO reclaims the $256 to $270 moving-average band, breaks $352 and $396, and runs toward the $500 area that Coinpedia and others flag, with the more aggressive long-term models pointing higher into 2027 if the AI trade stays hot. This case depends on the AI narrative staying strong and the network avoiding another governance shock.
Base case In the base scenario, the halving slowly does its quiet work but no single catalyst fires hard. Subnet activity grows unevenly, the ETF path advances but without a clean approval inside 2026, and the AI trade runs warm instead of euphoric. TAO spends the year chopping inside its broad trading channel, roughly between the $200 floor and the low-$400s, with the average landing near the $236 to $402 zone that the Gate and Changelly models bracket. The thin float keeps downside contained on dips, but the unproven value-capture story caps rallies. This is the “constructive but unconfirmed” outcome where the supply setup helps at the margin without overpowering a cautious market.
Bear case In the bear scenario, the halving is revealed as a supply event the market already priced, and TAO behaves as AI-hype beta. The value-capture question stays unanswered, another subnet exit or governance dispute dents confidence the way April’s did, and the broader AI trade rotates out. TAO loses the $200 floor and slides toward the February low near $163 or lower, with the bearish low-end forecasts near $130 coming into view. In this case, the staking lockup offers little protection, because holders unwind positions when yield no longer offsets falling token value, and the thin float that amplifies rallies amplifies declines just as efficiently.
Frequently Asked Questions When was the Bittensor halving and what changed? The first Bittensor halving took place on Dec. 12, 2025. Daily TAO emissions were cut in half, from 7,200 tokens to 3,600. The network follows a Bitcoin-style design with a fixed 21 million supply cap, so issuance steps down over time. The supply effect is gradual, filtering into circulating supply over months instead of moving price on the halving date itself.
Does a halving guarantee TAO goes up? No. A halving reduces the rate of new supply, which can support price if demand holds or grows, but it cannot lift a token on its own. TAO slid toward $200 in the months after the December halving before rebounding, which shows that reduced emissions do not override weak demand or a bearish trend. The halving loads the supply side, but demand has to do the rest.
Why is roughly 70% of TAO staked, and why does it matter? Holders stake TAO to help secure the network through validators and delegators, and they earn an annual yield around 10% for doing so. Staked tokens are locked and not readily available to sell, which thins the liquid float. Combined with halved emissions, the high staking ratio is the core of the supply-shock argument, since it shrinks the genuinely sellable supply.
What is the biggest risk to the TAO forecast? The biggest risk is that TAO is valued mostly on AI-narrative momentum instead of durable demand for its subnets. The subnet ecosystem generates revenue, but how much value flows back to the TAO token is unproven, and a high-profile subnet exit in April 2026 triggered a roughly 25% drop. If the AI trade cools or governance fragility resurfaces, the supply setup will not protect the price.
Could a spot TAO ETF change the picture? Possibly. Grayscale’s Bittensor Trust is already live over the counter, Grayscale filed an S-1, and Bitwise has filed for a spot product, with a U.S. decision expected around August 2026. A favorable outcome would open a regulated channel for institutional capital into a thin float, which the bull case leans on. Approval and timing are not guaranteed, so it remains a catalyst to watch instead of a certainty.
Where do analysts think TAO could trade in 2026? Third-party forecasts span a wide range. Cautious models such as Gate center near a $236 average with a low around $130, while higher views from Changelly and Cryptopolitan point to averages around $400 to $475 and Coinpedia flags a possible $500 reclaim if key resistance breaks. Long-term 2030 projections from several firms cluster between $900 and $3,000. The spread reflects genuine uncertainty about subnet demand, ETF flows, and the AI trade.
Disclaimer: This article is for information purposes only and does not constitute financial, investment, or trading advice. Cryptocurrency prices are highly volatile, and price predictions are speculative estimates that may not occur. Nothing here is a recommendation to buy or sell any asset. Always do your own research and consider consulting a licensed professional before making financial decisions. Figures are accurate as of June 30, 2026, and will change.
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Nasdaq-listed crypto asset management firm Solana Company has signed a memorandum of understanding (MOU) with Kazakhstan’s Alatau City to assist in developing the city’s blockchain and cryptocurrency infrastructure. The partnership stems from a June roadshow held in Shenzhen and Hong Kong, during which 30 cooperation agreements were already secured, with total potential investment exceeding $6 billion. The collaboration will span four key areas: digital asset custody, blockchain infrastructure, acceleration of institutional adoption, and platform development. Solana Company will also participate in constructing the Alatau Crypto Industrial Cluster, a special economic zone pilot that allows daily cryptocurrency transactions. Notably, Kazakhstan previously partnered with the Solana Foundation to establish Central Asia’s first Solana Economic Zone in the capital, Astana. Last week, a Kazakh exchange launched the country’s first Solana ETF. Alatau City is part of Kazakh President Kassym-Jomart Tokayev’s smart city vision, proposed in May 2024, which encompasses low-altitude aircraft, robot taxis, and a hydrogen-driven economy. However, the project faces real challenges: Kazakhstan’s central bank and financial regulators have raised concerns over the constitutional amendments required to underpin the crypto economy, while independent media reports indicate local residents still grapple with shortages of gas, water, electricity, and internet access.
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According to Hyperinsight’s monitoring, as SpaceX is added to the Russell 1000 Index today, it is just 7 days away from its official inclusion in the Nasdaq 100 Index on July 7. The market expects this index adjustment to bring around $4.3 billion in passive allocation funds. On Hyperliquid, SPCX (SpaceX) has risen 3.6% over the past 24 hours, currently trading at $163, with a 24-hour trading volume of approximately $230 million and open interest of $199 million. Overall, million-dollar-level large positions in SPCX on Hyperliquid are net bearish: nominal short positions stand at roughly $70.9 million, while long positions total $49.15 million, making short positions 1.44 times larger than longs. The average entry price for these large short positions is around $167.7, with the latest liquidation price at approximately $193.1. Notably, the current largest short whale opened a short position with 2x leverage about 5 days ago, holding positions worth roughly $11 million at an average entry price of $155.5. As SPCX continues to rebound, its unrealized loss has expanded to around $452,000. Meanwhile, funds have begun positioning in advance for the index inclusion rally. Today, an address starting with 0xe4c opened a new $3.26 million long position in SPCX with 8x isolated leverage, at an average entry price of $160.5 and liquidation price of $144. As of press time, this position has gained about 13% in unrealized profit, representing the largest new long position added recently.
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Citigroup noted that put positions on the Nasdaq and S&P 500 are accumulating, with elevated long positions leaving the Nasdaq vulnerable to further sell-offs. Meanwhile, investors continue to rotate into small-cap stocks. In Europe, waning capital inflows signal fragile market sentiment, while Asia exhibits mixed positioning: bullish bets in South Korea and heavy bearish positions in Hong Kong have heightened the risk of short squeezes.
Kraken is listing a batch of Bittensor subnet alpha tokens, marking the first time a major centralized exchange has opened the door to these specialized AI-focused assets. Until now, trading these tokens meant navigating on-chain AMM pools or scraping together liquidity on smaller platforms.
The listed tokens include Chutes AI (Subnet 64), Targon Compute (Subnet 4), Webuildscore, Lium io, Ridges ai, Hippius subnet, and VantaTrading. For a network that has quietly built one of the most ambitious decentralized AI ecosystems in crypto, getting shelf space on Kraken is a meaningful shift in visibility.
What are subnet alpha tokens, and why should you care Think of Bittensor as a decentralized marketplace for AI services, broken into specialized divisions called subnets. Each subnet handles a different job. Chutes AI, for example, focuses on serverless AI inference, essentially letting developers run AI models without managing their own servers. Targon Compute provides decentralized verifiable AI compute.
Bittensor currently operates over 128 active subnets, each with its own alpha token. These tokens function as direct exposure to a specific subnet’s performance, emissions, and revenue generation. In English: buying a subnet alpha is like buying equity in one department of a larger company, rather than buying the parent company’s stock (which would be TAO itself).
The mechanism that makes all of this possible is called dynamic TAO, or dTAO. Introduced in late 2025 or early 2026, dTAO allows each subnet to issue its own token that trades against TAO through on-chain automated market maker pools. Before dTAO, the only way to interact with Bittensor’s economics was through the TAO token. Now each subnet has its own price signal, its own liquidity, and its own market dynamics.
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Leading subnets like Chutes and Targon have already achieved market caps in the tens to over $100 million range.
Why Kraken’s move matters Before this listing, subnet alpha tokens lived almost entirely on-chain. There was one isolated instance of a subnet token trading on MEXC, but for the most part, accessing these assets required comfort with decentralized trading infrastructure. That’s a meaningful barrier for retail investors, and an even bigger one for institutions that need regulated, familiar platforms.
Kraken stepping in brings centralized exchange liquidity, cleaner price discovery, and the kind of accessibility that attracts a much broader investor base. Kraken already supported the core TAO token. This expansion into subnet-level assets signals the exchange sees commercial viability in the deeper layers of the Bittensor ecosystem, not just the top-level token.
The bigger picture for decentralized AI Bittensor’s subnet architecture creates a genuine marketplace where different teams compete to provide the best AI services. The dTAO mechanism turns that competition into tradeable assets, letting the market price each subnet’s contribution in real time.
With 128-plus subnets operating and their alpha tokens now reaching major exchanges, the Bittensor ecosystem is transitioning from a niche experiment to something that resembles a functioning decentralized AI economy. Each subnet’s token acts as a real-time gauge of market confidence in that subnet’s utility and revenue potential.
Unlike many crypto tokens that derive value purely from speculation, subnet alphas are tied to actual economic output. When a subnet like Chutes AI processes inference requests, that activity flows into the token’s value proposition.
What this means for investors Subnet alpha tokens introduce a new layer of granularity for crypto investors interested in AI infrastructure. Instead of making a broad bet on the Bittensor network through TAO, investors can now take targeted positions on specific subnets they believe will outperform.
The risk side of the ledger is straightforward: subnet tokens are narrower bets with less liquidity than TAO, even with Kraken’s support. A subnet that loses validators, faces technical issues, or gets outcompeted by a rival subnet could see its alpha token decline sharply. The dTAO mechanism means these tokens are ultimately priced relative to TAO, so a broad TAO selloff would drag subnet tokens down regardless of individual subnet performance.
For investors evaluating these assets, the key metrics to monitor are each subnet’s compute utilization rates, revenue generation, validator count, and market cap relative to its economic output.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
Barry Silbert, founder and CEO of Digital Currency Group (DCG), parent company of Grayscale, reposted on X to disclose that crypto exchange Kraken is set to list Alpha tokens from Bittensor subnets. According to leaked details, the first batch of tokens to be listed includes Chutes, Targon, Score, Ridges AI, Hippius, and others.
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Yuma, a Digital Currency Group-backed investment company, has launched a fund that gives institutional investors diversified exposure to the Bittensor ecosystem, as asset managers expand investment products tied to decentralized AI.
According to a Thursday announcement, the Yuma Total Market Fund provides exposure to Bittensor’s native TAO token and a basket of AI-focused subnets through a single investment vehicle. The strategy is intended to simplify access to the broader Bittensor ecosystem without requiring investors to select individual subnet tokens.
The fund launched with seed capital from an undisclosed anchor investor.
Bittensor is a decentralized network that supports the development of AI infrastructure and applications through specialized subnets spanning areas such as compute, marketplaces and identity. According to Yuma, the network's 128 subnets represent more than $900 million in combined value. However, data from network tracker Taostats shows a combined subnet value closer to $300 million.
TAO, the native token of the Bittensor ecosystem, has a market capitalization of nearly $2.4 billion. Source: CoinMarketCap
Institutional interest in the Bittensor ecosystem has grown alongside the network’s expanding subnet economy. In April, Grayscale increased TAO’s weighting in its Grayscale Decentralized AI Fund to 43% during the fund’s quarterly rebalance. TAO’s allocation has since fallen to about 20%, with Near Protocol's NEAR now comprising the fund’s largest holding at roughly 44%.
Asset managers are also seeking to broaden investor access to TAO. Bitwise filed for a TAO Strategy ETF with the US Securities and Exchange Commission (SEC) in April, while Grayscale submitted an amended registration statement to convert its existing Bittensor Trust into a spot TAO exchange-traded fund that would list on NYSE Arca if approved.
Grayscale Bittensor Trust (TAO) application with the SEC. Source: SEC
Anthropic restrictions renew focus on decentralized AIThe case for decentralized AI, which distributes AI infrastructure and computing across blockchain-based networks rather than relying on a single provider, gained renewed attention after the US Commerce Department suspended public access to Anthropic’s Fable 5 and Mythos 5 models over national security and export control concerns.
At the time, Grayscale head of research Zach Pandl said the restrictions underscored the risks of relying on centralized AI providers. The government order limiting access to Anthropic’s Fable 5 and Mythos 5 “highlights the risks of centralized control of AI,” Pandl said. “We expect demand for decentralized AI, like Bittensor and its TAO token, to rise as investors seek alternatives.”
The restrictions appear to be easing. The Commerce Department restored access to Mythos 5 on Friday, and Axios reported Saturday that the Trump administration is expected to allow Anthropic to resume public access to Fable 5 as soon as next week.
Magazine: How AI just dramatically sped up the quantum risk for Bitcoin
Cointelegraph is committed to independent, transparent journalism. This news article is produced in accordance with Cointelegraph’s Editorial Policy and aims to provide accurate and timely information. Readers are encouraged to verify information independently.
Yuma, a Digital Currency Group-backed investment company, has launched a fund that gives institutional investors diversified exposure to the Bittensor ecosystem, as asset managers expand investment products tied to decentralized AI.
According to a Thursday announcement, the Yuma Total Market Fund provides exposure to Bittensor’s native TAO token and a basket of AI-focused subnets through a single investment vehicle. The strategy is intended to simplify access to the broader Bittensor ecosystem without requiring investors to select individual subnet tokens.
The fund launched with seed capital from an undisclosed anchor investor.
Bittensor is a decentralized network that supports the development of AI infrastructure and applications through specialized subnets spanning areas such as compute, marketplaces and identity. According to Yuma, the network's 128 subnets represent more than $900 million in combined value. However, data from network tracker Taostats shows a combined subnet value closer to $300 million.
TAO, the native token of the Bittensor ecosystem, has a market capitalization of nearly $2.4 billion. Source: CoinMarketCap
Institutional interest in the Bittensor ecosystem has grown alongside the network’s expanding subnet economy. In April, Grayscale increased TAO’s weighting in its Grayscale Decentralized AI Fund to 43% during the fund’s quarterly rebalance. TAO’s allocation has since fallen to about 20%, with Near Protocol's NEAR now comprising the fund’s largest holding at roughly 44%.
Asset managers are also seeking to broaden investor access to TAO. Bitwise filed for a TAO Strategy ETF with the US Securities and Exchange Commission (SEC) in April, while Grayscale submitted an amended registration statement to convert its existing Bittensor Trust into a spot TAO exchange-traded fund that would list on NYSE Arca if approved.
Grayscale Bittensor Trust (TAO) application with the SEC. Source: SEC
Anthropic restrictions renew focus on decentralized AIThe case for decentralized AI, which distributes AI infrastructure and computing across blockchain-based networks rather than relying on a single provider, gained renewed attention after the US Commerce Department suspended public access to Anthropic’s Fable 5 and Mythos 5 models over national security and export control concerns.
At the time, Grayscale head of research Zach Pandl said the restrictions underscored the risks of relying on centralized AI providers. The government order limiting access to Anthropic’s Fable 5 and Mythos 5 “highlights the risks of centralized control of AI,” Pandl said. “We expect demand for decentralized AI, like Bittensor and its TAO token, to rise as investors seek alternatives.”
The restrictions appear to be easing. The Commerce Department restored access to Mythos 5 on Friday, and Axios reported Saturday that the Trump administration is expected to allow Anthropic to resume public access to Fable 5 as soon as next week.
Magazine: How AI just dramatically sped up the quantum risk for Bitcoin
Cointelegraph is committed to independent, transparent journalism. This news article is produced in accordance with Cointelegraph’s Editorial Policy and aims to provide accurate and timely information. Readers are encouraged to verify information independently.
Decentralized AI Exposure To Get Easier?Silbert promoted the launch of the Total Market Fund by Yuma, a DCG subsidiary, that provides a single allocation for exposure to TAO and tokens tied to AI projects built on Bittensor. The fund is marketed as an institutional gateway to decentralized AI infrastructure, offering exposure beyond traditional equities and venture capital.
“AI is becoming a core portfolio allocation. But for most investors, it’s limited to a few, big players,” Silbert noted. “Bittensor offers access to a decentralized network of AI projects.”
What’s Bittensor Moat?Bittensor is an open-source network that allows AI models to be shared, trained, and ranked by value. Participation and contribution are incentivized by handing out rewards in the form of the native cryptocurrency called TAO.
Silbert himself has picked Bittensor as one of the top projects where the majority of cryptocurrency capital is expected to rotate into eventually.
Silbert Bullish On Privacy NarrativeSilbert has also championed financial privacy, positioning privacy-focused coins as the cryptocurrency industry’s next major investment opportunity.
His thesis is that 5-10% of Bitcoin market cap would eventually rotate into privacy coins, including Zcash (CRYPTO: ZEC).
Price Action: At the time of writing, TAO was exchanging hands at $213.40, down 3.48% over the last 24 hours, according to data from Benzinga Pro, valued at over $2.35 billion.
Photo courtesy: Shutterstock
Market News and Data brought to you by Benzinga APIs
For years, crypto companies competed to build faster blockchains, deeper liquidity pools, and more scalable decentralized applications. Increasingly, however, the next major race inside Web3 appears to be centered on something else entirely: artificial intelligence.
Across the industry, developers are building autonomous systems capable of executing trades, coordinating economic activity, analyzing markets, and interacting with decentralized applications without constant human input. What started as experimental AI trading bots is beginning to evolve into a broader ecosystem of intelligent financial agents.
That shift is creating demand for a new category of infrastructure designed specifically for machine-driven participation.
From AI-optimized execution layers to decentralized intelligence markets, here are seven crypto projects helping build the foundation for autonomous finance.
1. Fetch.ai Fetch.ai has spent years building infrastructure for autonomous economic agents capable of coordinating tasks, sharing data, and executing transactions independently.
The platform focuses heavily on machine-to-machine coordination, allowing AI systems to interact economically without centralized intermediaries. While its applications extend beyond trading, the broader vision aligns closely with the emerging concept of agentic finance.
As intelligent systems become more capable of acting autonomously online, projects like Fetch.ai are positioning themselves as foundational coordination layers for decentralized AI activity.
2. Orbs SPOT One of the clearest signs that DeFi infrastructure is evolving for AI systems comes from Orbs, which recently launched SPOT, a decentralized trading interface built specifically for autonomous agents.
Unlike traditional DeFi platforms that prioritize visual dashboards and manual interaction, SPOT focuses on machine-readable execution. The platform allows AI agents to execute strategies including limit orders, decentralized stop-loss orders, TWAP execution, and take-profit automation across decentralized exchanges.
The project also reflects growing interest in gasless DeFi trading tools that reduce operational friction for autonomous systems. AI agents operating continuously across multiple chains cannot efficiently manage transaction complexity the same way human traders do.
As AI agent crypto trading expands, infrastructure optimized for machine interaction may become increasingly important.
3. Olas (formerly Autonolas) Olas is attempting to create open infrastructure for autonomous services and AI agents operating on-chain.
The project allows developers to deploy decentralized agents that can coordinate tasks, manage workflows, and interact with blockchain networks autonomously. In many ways, Autonolas represents the infrastructure side of the AI agent movement rather than the application layer.
Its focus on composable autonomous systems highlights how quickly the conversation around crypto AI is moving beyond simple chatbot integrations toward fully operational software agents.
4. Bittensor Bittensor approaches decentralized AI from a different angle by focusing on distributed intelligence itself.
The protocol creates an open marketplace where machine learning models contribute computational intelligence in exchange for tokenized incentives. Supporters describe it as a decentralized intelligence network where AI models effectively compete and collaborate economically.
As AI becomes more deeply integrated into crypto infrastructure, decentralized intelligence marketplaces could play an increasingly important role in reducing dependence on centralized AI providers.
5. Virtuals Protocol Virtuals Protocol has gained attention for exploring the concept of tokenized AI agents with persistent economic identities.
The idea pushes beyond AI tooling into a future where autonomous agents potentially own wallets, interact socially, generate revenue, and participate directly in digital economies.
While still experimental, the project reflects growing interest in autonomous crypto trading agents and AI systems capable of acting independently inside decentralized ecosystems.
6. NEAR AI NEAR has increasingly positioned itself around AI accessibility and chain abstraction infrastructure.
The project’s broader thesis centers on simplifying blockchain interaction for both humans and intelligent systems. As autonomous agents begin navigating multiple networks simultaneously, interoperability and usability may become critical infrastructure priorities.
Several crypto developers now believe AI systems will require blockchain experiences optimized around abstraction rather than manual wallet management and fragmented workflows.
7. Coinbase and AI Trading Infrastructure Even centralized players are beginning to adapt to the rise of AI-driven finance.
Coinbase has explored AI integrations and agent tooling as part of a broader industry movement toward autonomous execution and machine-assisted trading. The company’s experimentation reflects a larger recognition that intelligent systems may eventually become major participants across crypto markets.
The trend extends beyond any single project. Across both centralized and decentralized ecosystems, developers are increasingly designing infrastructure around the assumption that future users may not always be human.
That possibility could fundamentally reshape how financial systems are built online.
The transition remains early and highly speculative. Security concerns, governance risks, and regulatory uncertainty continue to surround autonomous financial systems. Even so, investment and development activity around AI native crypto infrastructure is accelerating rapidly.
The next major crypto user may not be a trader sitting behind a screen. It may be an intelligent system operating entirely on its own.
Cryptocurrency prices are broadly rising on Thursday, following an overstretched downtrend. Despite sticky geopolitical tensions in the Middle East, tokens at the intersection of the blockchain technology and Artificial Intelligence (AI), including Bittensor (TAO), Near Protocol (NEAR) and Internet Computer (ICP) are testing recovery potential.
Sentiment in the broader crypto market remains largely suppressed, as reflected in the Fear & Greed Index, holding at 12 in the Extreme Fear territory on Thursday, up from 9 the previous day. Given that crypto market behaviour tends to be emotional, investors become fearful when prices fall and greedy in bullish conditions.
Still, extreme fear conditions offer opportunities for fresh entries when prices are low, allowing investors to ride the uptrend.
Bittensor gears up for short-term recoveryBittensor trades at $209, extending a corrective phase below the key Exponential Moving Averages (EMAs). The 50-day EMA at $251, the 100-day EMA at $257 and the 200-day EMA near $267 all sit overhead, reinforcing a bearish near-term bias while price holds under this compressed cap.
Momentum agrees with this tone, as the Relative Strength Index (RSI) hovers around 37 on the daily chart, shy of oversold but still weak. Moreover, the Moving Average Convergence Divergence (MACD) histogram remains in negative territory, hinting that sellers retain control despite the recent bounce from sub-$200 levels.
TAO/USDT daily chartOn the downside, a deeper protection is seen near the broken ascending trendline area at roughly $185. Bulls would need to reclaim the 50-day EMA at $251 to ease immediate pressure, with subsequent resistance layered at the 100-day EMA at $257 and then the 200-day EMA around $267, where a sustained break would be needed to challenge the prevailing bearish structure.
Near Protocol holds key supportNear Protocol trades at $2.00, holding above a rising cluster of moving averages but capped well below the prevailing SuperTrend resistance. The 50-day EMA at $1.92 is the nearest dynamic floor, backed by the 200-day EMA at $1.74 and the 100-day EMA at $1.73, which together still hint at an underlying constructive structure despite the recent pullback.
However, the MACD histogram remains below the zero line on the daily chart while the RSI sits near 48, suggesting fading bullish momentum and a consolidative-to-soft tone rather than an impulsive recovery.
NEAR/USDT daily chartOn the topside, the SuperTrend line at $2.87 is the key resistance that bulls would need to reclaim to revive a stronger upside phase. On the downside, initial support lies at the 50-day EMA around $1.92. A daily close below this level would expose the medium-term supports at the 200-day EMA near $1.74 and the 100-day EMA close to $1.73, where buyers are likely to defend the broader uptrend structure.
Internet Computer eyes a steady rebound toward $3.00Internet Computer trades at $2.27, extending its retreat beneath all the major moving averages and keeping a bearish near-term bias. The 50-day, 100-day and 200-day EMAs at $2.60, $2.66 and $3.00, respectively, all sit overhead and suggest rallies remain corrective within a broader downtrend, while the SuperTrend line near $2.97 reinforces this cap.
Momentum is weak but not extreme, with the RSI hovering around 40, hinting at persistent selling pressure rather than a clean oversold setup.
ICP/USDT daily chartOn the topside, initial resistance lies at the 50-period EMA around $2.60, followed by the 100-day EMA near $2.66. Above these zones, the SuperTrend barrier at roughly $2.97 and the 200-day EMA close to $3.00 form a thicker supply band, ahead of the broader downward resistance trendline referenced by the prior break area near $3.90.
With no clear indicator-based supports immediately below the price on the daily chart, any further slide from current levels would leave ICP vulnerable to probing fresh lows until a new demand base emerges on the chart.
(The technical analysis of this story was written with the help of an AI tool.)
Bitcoin, altcoins, stablecoins FAQs Bitcoin is the largest cryptocurrency by market capitalization, a virtual currency designed to serve as money. This form of payment cannot be controlled by any one person, group, or entity, which eliminates the need for third-party participation during financial transactions.
Altcoins are any cryptocurrency apart from Bitcoin, but some also regard Ethereum as a non-altcoin because it is from these two cryptocurrencies that forking happens. If this is true, then Litecoin is the first altcoin, forked from the Bitcoin protocol and, therefore, an “improved” version of it.
Stablecoins are cryptocurrencies designed to have a stable price, with their value backed by a reserve of the asset it represents. To achieve this, the value of any one stablecoin is pegged to a commodity or financial instrument, such as the US Dollar (USD), with its supply regulated by an algorithm or demand. The main goal of stablecoins is to provide an on/off-ramp for investors willing to trade and invest in cryptocurrencies. Stablecoins also allow investors to store value since cryptocurrencies, in general, are subject to volatility.
Bitcoin dominance is the ratio of Bitcoin's market capitalization to the total market capitalization of all cryptocurrencies combined. It provides a clear picture of Bitcoin’s interest among investors. A high BTC dominance typically happens before and during a bull run, in which investors resort to investing in relatively stable and high market capitalization cryptocurrency like Bitcoin. A drop in BTC dominance usually means that investors are moving their capital and/or profits to altcoins in a quest for higher returns, which usually triggers an explosion of altcoin rallies.
PANews reported on April 29th that, according to SoSoValue data, the cryptocurrency market continued its correction. Bitcoin (BTC) fell 0.66%, dropping below $77,000, while Ethereum (ETH) fell 0.24%, breaking below $2,300. The AI sector performed strongly, rising 0.96% in the last 24 hours, with Bittensor (TAO) up 4.20%, Unibase (UB) up 18.84%, and SkyAI (SKYAI) up 35.11%. Additionally, the GameFi sector rose 0.40%, with Axie Infinity (AXS) and GALA rising 2.64% and 2.45% respectively.
In other sectors, the Layer 2 sector fell 0.06% in the last 24 hours, but Celestia (TIA) rose 4.05%; the CeFi sector fell 0.44%, while Aster (ASTER) rose 2.55%; the Layer 1 sector fell 0.88%, while Humanity (H) surged 26.66% intraday; the Meme sector fell 1.17%, while Pump.fun (PUMP) bucked the trend and rose 6.66%; the PayFi sector fell 1.21%, while Safe (SAFE) remained relatively strong, rising 1.75%; the DeFi sector fell 1.48%, while Block Street (BSB) surged 18.11%.
The DeFi market is going through a broader accumulation phase, while the altcoin landscape is making a great contribution in this respect. Particularly, Pocket Network ($POKT), Bittensor ($TAO), and Huma Finance ($HUMA) are the top among the prominent altcoins leading the current aggressive crypto accumulation. As per the data from Phoenix Group, the other well-known altcoins experiencing accumulation include Radiant Capital ($RDNT), ALEO ($ALEO), PancakeSwap ($CAKE), Somnia ($SOMI), SuperVerse ($SUPER), Kaito ($KAITO), and Fluid ($FLUID). Hence, this phase could play a crucial role in determining the direction of the market for the remainder of Q4.
$POKT Hits $39.8M in Market Cap during Accumulation Phase The market data discloses that Pocket Network ($POKT) is the altcoin witnessing the shortest period among the top altcoins that are in their accumulation phase. In this respect, it has reportedly witnessed a massive accumulation over the past 4 days. As a result of this, the total market capitalization of $POKT has reached the $39.8M mark.
Subsequently, the 2nd among the key altcoins seeing accumulation phase takes into account Bittensor ($TAO). Thus, it has been going through notable accumulation over the past six days. Now, its cumulative market capitalization is $3.9B. Coming after that, Huma Finance’s ($HUMA) accumulation spree has been going on for six days. This period has pushed its total market cap to a big total of $48.5M.
Following that, Radiant Capital ($RDNT) accounts for an 8-day-long accumulation phase. Due to this, it now stands at $23.0M when it comes to market cap. Additionally, ALEO ($ALEO) has been witnessing accumulation for the recent 12 days. Eventually, its market cap is $158.0M at present. After that, Pancakewap ($CAKE) has also recorded a noteworthy accumulation period of almost 13 days, raising its market cap to $938.7M.
Moving on, Phoenix Group’s list of the latest crypto assets in the accumulation phase adds Somnia ($SOMI) in the 7th rank. Specifically, it has been in accumulation phase for 15 days, reaching $79.2M in market cap. Additionally, SuperVerse ($SUPER) has been undergoing accumulation for 18 days, attaining a market cap of $251.0M.
$FLUID Concludes List with 24-Day Accumulation Period The next 2 names on the list are SuperVerse ($SUPER) and Kaito ($KAITO) which have reached $251.0M and $251.7M in market cap after accumulation for 18 and 20 days. Ultimately, Fluid ($FLUID) is the 10 among the most recent altcoins in accumulation phase. Thus, its market cap has hit $349.6M mark after a 24-day accumulation.
AUTHOR
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Privacy cryptocurrencies such as Zcash (ZEC) and Horizen (ZEN) are seeing significant whale allocations as private-preserving tools see heightened demand. A similar appetite is evident for Artificial Intelligence (AI)-related tokens amid the industry’s massive growth. These include Bittensor (TAO), Render (RENDER), and NEAR Protocol (NEAR).
Whales are loading up on privacy and AI tokensGrayscale Zcash Trust is one of the largest institutional vehicles for Zcash, now holding a total of 390,111 ZEC tokens (over 2.4% of the circulating supply) after it began accumulation in 2017. Cypherpunk Technologies holds 1.78% of the circulating supply, while Multicoin Capital holds a “significant position” in the same. ZEC now trades at $565.07, up 10.97% over the past week due to institutional interest.
Similarly, Grayscale is the top holder of ZEN with 961,450 ZEN tokens (5.3% of the circulating supply), having launched a trust in 2018. Its parent company, Digital Currency Group (DCG) was also an early investor in the project’s 2019 seed round.
As for AI tokens, once again, Grayscale is a major holder, having begun accumulation in 2021. The firm’s AI portfolio is mostly made of NEAR (32.56%), followed by TAO, RENDER, and Filecoin (FIL) at 26.49%, 22.18%, and 18.77%, respectively.
One whale wallet has been holding 17.01% of RENDER’s total supply since 2023. Meanwhile, venture capitalists such as a16z and Tiger Global Management hold a combined 14.38% of NEAR’s total supply, accumulated gradually since 2019.
CaveatsThat said, some privacy cryptocurrencies, such as KnoxNet (KNX), are still viewed with caution due to their thin liquidity. Regulators are also not very friendly to the likes of Monero, since its full-privacy feature conflicts with anti-money-laundering requirements.
As for AI, some analysts still warn of an AI bubble forming, similar to that of the dot-com era. They argue that most AI investments are driven by speculative hype rather than actual infrastructure growth.
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Centralized AI has just reached its breaking point. When Anthropic folds under regulatory pressure, decentralized tokens like TAO and RENDER soar. Crypto proves once again that it is the ultimate escape from censorship. But is this runaway trend sustainable?
In brief Anthropic forced to suspend Fable 5 and Mythos 5 following a directive from the US Department of Commerce for national security reasons. Historic rally of decentralized AI tokens: Bittensor (+39%) and Render (+15%) capitalize on the situation. Decentralized AI establishes itself as a resilient alternative to censorship and regulatory restrictions. Anthropic forced to suspend Fable 5 and Mythos 5: the explosion of AI tokens On June 12, 2026, the US government delivered a heavy blow to centralized AI. Indeed, an emergency directive forced Anthropic to globally disable its flagship models, Fable 5 and Mythos 5, citing national security risks. Officially, a jailbreak vulnerability was identified, allowing exploitation of minor known weaknesses.
Fable 5 and Mythos 5 suspended by the US government. Result? A total shutdown for all users! Because isolating foreign nationals is technically impossible with the current architecture. The market reacted instantly. Decentralized AI tokens, like Bittensor (TAO) +39% and Render (RENDER) +15%, surged. Investors saw in this crisis proof that AI was the only way to escape arbitrary regulation. A speculative rally, but also ideological.
Is decentralized AI experiencing the same situation as decentralized cryptos? Is decentralized AI following the same path as decentralized cryptos? The answer is yes, and it makes sense. Indeed, just as Bitcoin (BTC) emerged in response to centralized banks, decentralized Artificial Intelligence develops in response to centralized giants like OpenAI or Anthropic, now under regulatory pressure.
Decentralized cryptos have proven resilient to restrictions. Despite bans, BTC survived. Similarly, decentralized AI resists censorship thanks to distributed networks, where no state can disable access. Yet, challenges remain immense:
Scalability; Energy costs; Mass adoption. The rally of decentralized AI tokens is a sign of the times: crypto fills the gaps of centralization. But between technological idealism and economic reality, which will prevail? What if decentralized AI is just a band-aid on a wooden leg? And you, would you be willing to bet on decentralized artificial intelligence, or is centralization still inevitable?
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Eddy S.
The world is evolving and adaptation is the best weapon to survive in this undulating universe. Originally a crypto community manager, I am interested in anything that is directly or indirectly related to blockchain and its derivatives. To share my experience and promote a field that I am passionate about, nothing is better than writing informative and relaxed articles.
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To further diversify its crypto investment portfolio, asset manager and ETF issuer Grayscale has unveiled the launch of the Grayscale MakerDAO Trust. This latest addition to Grayscale’s product suite allows investors to gain exposure to MKR, the utility and governance token underpinning the Ethereum-based MakerDAO ecosystem.
Grayscale Expands Crypto Portfolio MakerDAO is an autonomous organization operating a decentralized finance (DeFi) protocol, providing users access to a permissionless, open stablecoin system and various other on-chain financial services.
According to Tuesday’s announcement by the firm, through the Grayscale MakerDAO Trust, investors can now participate in the growth and development of the protocol’s MKR ecosystem.
“As demand for crypto exposure continues to grow, Grayscale is committed to expanding our suite of products and providing innovative investment opportunities,” said Rayhaneh Sharif-Askary, Grayscale’s Head of Product & Research.
“The launch of the Grayscale MakerDAO Trust allows investors to experience the growth of the entire MakerDAO ecosystem, aiming to remove DeFi’s dependency on traditional finance infrastructure by providing a permissionless, decentralized, and open stablecoin system,” Sharif-Askary also stated.
The new trust functions similarly to Grayscale’s other single-asset investment vehicles, with the fund solely invested in MKR tokens. The trust is now open for daily subscription by eligible individual and institutional accredited investors, providing them a convenient way to gain exposure to the MakerDAO protocol.
This announcement comes on the heels of Grayscale’s recent launches of the Grayscale Bittensor Trust, dedicated to the TAO token supporting the Bittensor Protocol, and the Grayscale Sui Trust, focused on the SUI token underpinning the Sui Layer 1 blockchain.
MKR Price Action Grayscale’s news sparked a spike in the MKR token, which hit an 8-month low of $1.7 on August 5 amid the broader market crash and global economic uncertainties that led to an increased sell-off.
MKR is trading at $2.10, up nearly 6% in the last few hours, coupled with a 16% increase in trading volume in the 24-hour time frame, amounting to $124 million, indicating investor interest in the token’s prospects.
MKR must consolidate above the $2.06 level to further capitalize on this latest surge, as it has acted as a resistance wall for the token over the past few days before Tuesday’s bullish news on the MKR/USDT daily chart. This would be key for MKR’s future advances and the potential to surpass its next resistance barrier at $2.16.
However, if there is a resurgence of demand and buying pressure for the token and the broader market, which can also contribute to MKR’s 10% surge last week, it would position MakerDAO’s native token to tackle its next resistance at $2.31, $2.42 and $2.73 on its way to reclaiming the $3 mark.
The daily chart shows MKR’s price surge on Tuesday. Source: MKRUSDT on TradingView.com Featured image from DALL-E, chart from TradingView.com
This week in the crypto market, Bitcoin’s price surpassed $68,000, and the market capitalization returned to over $2.28 trillion.
BeInCrypto noted special investor interest in events such as Grayscale’s review of 35 altcoins for potential investment products and investors’ expectations of an altcoin season ahead of the US elections.
Additionally, Miles Deutscher has suggested several altcoins, claiming they might have a strong growth potential. The community is also paying attention to Craig Wright’s legal plans and Tesla’s Bitcoin movements.
Grayscale Unveils 35 Potential AltcoinsEarlier this week, Grayscale announced a list of 35 altcoins under consideration for future investment products. Following the announcement, many of these altcoins experienced significant price increases over the week. The top 10 altcoins on the list saw gains ranging from 13% to 49%.
Read more: 11 Cryptos To Add To Your Portfolio Before Altcoin Season
The Top 10 Best-Performing Altcoins of the Week are part of Grayscale’s Potential Candidates. Source: DropstabThirty of the 35 altcoins enjoyed a green week, with only Kaspa (KAS) and Helium (HNT) facing notable declines of -4% and -7.4%, respectively.
“Assets Under Consideration lists digital assets not currently included in a Grayscale investment product but identified by our team as possible candidates for inclusion in a future product,” Grayscale explained.
Additionally, Grayscale filed with the SEC to convert its Digital Large Cap Fund into an ETF, following the success of transforming Bitcoin Trust and Ethereum Trust into spot ETFs.
Miles Deutscher Highlights 4 Altcoins Investor Miles Deutscher introduced four altcoins that he believes could deliver 10x returns. These altcoins focus on GameFi, artificial intelligence (AI), Decentralized Physical Infrastructure Network (DePIN), and real-world assets (RWA) sectors, including:
SuperVerse (SUPER) Bittensor (TAO) Mantra (OM) Render (RNDR) Read more: 7 Hot Meme Coins and Altcoins that are Trending in 2024
Price Performance of Altcoins Suggested by Deutscher. Source: TradingViewSince his announcement, the prices of these altcoins have slightly declined, which occurred as Bitcoin Dominance reached a three-year high. Deutscher also commented on meme coins, suggesting they are at a crossroads and may face a short-term correction.
Craig Wright Plans to Sue Bitcoin CoreOn October 11, a tracker from the UK High Court revealed that Craig Wright is taking legal action against Bitcoin Core and Square.
Wright, representing himself in the case as a “direct claimant,” is seeking £911 billion ( ~$1.18 trillion) from Bitcoin Core and Square, alleging they misrepresented Bitcoin (BTC) as the true version of the digital asset created by Satoshi Nakamoto.
Additionally, Wright threatened to sue MicroStrategy CEO Michael Saylor for allegedly misrepresenting Bitcoin. The Australian computer scientist is also filing three other legal appeals in the UK, two against the Crypto Open Patent Alliance (COPA) and one targeting Peter McCormack.
Read more: Satoshi Nakamoto – Who is the Founder of Bitcoin?
Altcoin Season Ahead of US Presidential Election?Throughout the week, several crypto industry experts expressed optimism for altcoin’s price ahead of the US presidential election. Ki Young Ju, CEO of CryptoQuant, suggested that a Trump victory could spur regulatory changes that would trigger an altcoin season.
“If Trump wins, expect regulatory changes, including fee switches enabling token burns for revenue-generating projects,” Ki Young Ju said.
Technical analysts Michaël van de Poppe and CRG also predicted that the altcoin season could begin next month. Echoing these views, Crypto Rover forecasted an impending altcoin season by monitoring Bitcoin Dominance’s movements. Bitcoin Dominance (BTC.D) represents Bitcoin’s share of total market capitalization. Its adjustments often signal an altcoin rally.
Read more: Bitcoin Dominance Chart: What Is It and Why Is It Important?
Bitcoin Dominance fluctuations. Source: Crypto Rover.Tesla Moves Bitcoin Worth Up to $760 MillionThis week, Elon Musk’s Tesla unexpectedly moved nearly all of the Bitcoin it had held for the past three years to new wallet addresses. Initially, investors feared Tesla might be preparing to sell the BTC through OTC, but those concerns quickly dissipated as Bitcoin’s price remained unaffected.
“No proof it’s an OTC deal yet. Even if it was, that means someone else bought it so it’s not entirely bearish. Who knows,” Sir Doge of the Coin said.
Read more: Who Owns the Most Bitcoin in 2024?
Many now believe the move was a simple reallocation. In 2021, Musk had stated that Bitcoin payments made to Tesla would be held as Bitcoin, not converted into fiat.
Best crypto to join now becomes the big question as Q4 2025 pushes Pepe, Aave, OKB, Bitget Token, Bittensor, NEAR Protocol, and Ondo into unpredictable positions. Market swings keep community members alert because momentum shifts fast, and hesitation hurts. November trends point toward one clear standout that early adopters are eyeing before the next surge begins. LivLive ($LIVE) enters this list for a very real reason.
LivLive grabs attention because its presale numbers show real movement, real traction, and real demand. The project rises quickly within presale charts, gaining over $2M raised while preparing for its Stage 2 price jump. Every early buyer looks for advantage, and this ecosystem gives them one. That is why it stands as the best crypto to join now for strategic entry.
1. LivLive ($LIVE) Table of Contents
1. LivLive ($LIVE)What LivLive Really IsHow LivLive Changes LivesKey Presale FiguresCore LivLive Benefits6 Hour LivLive Mega Boost: Double Up, Triple Down, and Grab the Wildest 200% Bonus Before It Disappears2. Pepe (PEPE)3. Aave (AAVE)4. OKB (OKB)5. Bitget Token (BGB)6. Bittensor (TAO)7. NEAR Protocol (NEAR)8. Ondo (ONDO)Conclusion: Is LivLive the Best Crypto to Join Now for Q4 2025?Find Out More Information Here LivLive positions itself as a top contender because its vision merges real life with digital rewards. Community members earn $LIVE through real world actions that create long term engagement patterns. This structure supports constant activity, which strengthens token utility and keeps participants active across cities. As the user base grows, network effects build naturally and reward early buyers with higher ecosystem influence.
What LivLive Really Is LivLive works like a real world operating system that transforms walking, shopping, reviewing, attending events, and exploring into token rewards. AR missions, GPS verification, and wearable integration create proof of presence actions that generate $LIVE. This benefits participants because every movement can become income, XP, status boosts, and digital perks. It turns daily life into a reward system.
How LivLive Changes Lives LivLive’s goal is simple. Turn presence into value. Every AR quest creates progress. Every check in creates XP. Businesses fund missions and rewards, which creates a circular economy that pays active participants instead of traditional ad models. This shift gives early community members more earning routes as the platform expands into cities across 2025.
Key Presale Figures Stage 1 Price: $0.02 Amount Raised: +2M USD Holders: 200+ Stage 2 Price: $0.04 Launch Price: $0.25 These numbers benefit early adopters because rapid stage progression builds natural upward pressure. As stages advance, early entries gain strong position strength for launch.
Core LivLive Benefits Pokémon GO style AR quests with token rewards Proof of Presence mining with wearables $2.5M global treasure hunt vault No taxes and fair token allocation AI personalized missions Ranked leaderboards for XP and RWA perks $LIVE mining scaling through wearables Audited, compliant, multi sig setup Two sided referral rewards for buyers and invitees Real world business backed missions Partnerships with OpenAI, Google Developers, Adobe Aero, Base These advantages position LivLive as the best crypto to join now because participants gain both utility and entertainment while expanding their earning potential.
6 Hour LivLive Mega Boost: Double Up, Triple Down, and Grab the Wildest 200% Bonus Before It Disappears This is not a regular offer. This is the kind of 96 hour power surge that people regret missing for months. LivLive just launched a bonus pack so loaded that even small entries become serious allocations. The early crowd moves fast because the numbers speak for themselves and the countdown is already shrinking.
Those who want the biggest boost of the entire presale receive direct multipliers with zero delay. No slow rewards and no weak incentives. Every second counts because each delay gives someone else a larger allocation. Community members either secure bonuses or watch others enjoy the advantage.
Up to $2,000 Use code EARLY100 for +100% Bonus $2,000 or more Use code BOOST200 for +200% Bonus Participants who act now lock in double or triple strength at the most important moment. Those who wait eventually pay full stage pricing.
2. Pepe (PEPE) Pepe enters Q4 2025 with wild market swings that push community members into unpredictable reactions. The token still holds attention, but volatility keeps its trend uncertain. November movement reveals scattered buying patterns, mixed sentiment, and a lack of consistent direction. That makes long term positioning difficult for participants seeking stability in a crowded market.
Despite strong community culture, PEPE faces challenges with sustainability, real world use, and future traction. Speculative tokens require strong timing, and late entries often struggle. The broader market increasingly favors utility backed ecosystems, which leaves PEPE in a weaker position than projects offering clear structure and reward ecosystems.
3. Aave (AAVE) Aave maintains relevance through established DeFi features, but 2025 shows slower user expansion paired with rising competition. Liquidity shifts across multiple platforms reduce dominance, and Q4 charts show mixed borrowing activity. These patterns create pressure because new alternatives attract more attention with lower fees and faster models.
While AAVE provides stability through proven systems, the market now demands fresh innovation. Q4 reports show declining excitement as emerging utility projects outshine older DeFi leaders. Participants may appreciate Aave’s track record, but the growth rate does not match new ecosystem driven tokens gaining momentum heading into 2026.
4. OKB (OKB) OKB moves with exchange driven cycles that often struggle during external market stress. November charts reflect inconsistent trend strength and shallow buying interest. Limited innovation keeps the token dependent on exchange traffic, which fluctuates heavily in uncertain conditions. This weakens long term positioning for those looking for meaningful upside.
The ecosystem lacks fresh catalysts compared to emerging hybrid projects. Participants who want strong growth potential look toward tokens that create user activity loops, not exchange lock in models. OKB faces this challenge as the market pushes toward more dynamic rewards and utility based platforms.
5. Bitget Token (BGB) BGB rides on exchange volume surges, which makes its performance uneven. Q4 2025 shows cooling momentum due to shifting trader activity and lower speculative volume. While BGB has a loyal user base, the token depends heavily on trading cycles that offer limited long term upside for community members seeking stronger reward structures.
Its fundamentals remain consistent, yet the token lacks ecosystem depth beyond exchange features. As attention shifts toward utility backed projects with global expansion potential, BGB struggles to compete for top positions in upcoming watchlists.
6. Bittensor (TAO) TAO holds interest because of its AI driven narratives, but saturation in AI token categories becomes a real challenge. Many projects offer similar claims, which reduces the uniqueness that once powered TAO’s early rise. Q4 performance displays slower movement and reduced community engagement compared to prior months.
While TAO’s technology remains interesting, its growth pace does not mirror stronger emerging ecosystems. Participants looking for layered utility often consider alternatives with clearer expansion paths and real world integration.
7. NEAR Protocol (NEAR) NEAR enters late 2025 with moderate activity driven by partnerships and developer interest. However, its expansion remains slower than expected due to overlapping competitors and a crowded modular chain environment. Q4 charts show mixed trends that keep community members uncertain about future consistency.
Its technology is solid, yet not unique enough to dominate the categories it competes in. NEAR finds it difficult to match engagement from newer platforms offering AR, gaming, and lifestyle driven missions that bring real world participation.
8. Ondo (ONDO) Ondo sees rising mentions across institutional circles, but retail engagement remains limited. Q4 2025 reveals small surges followed by steady cooldowns, making it less appealing for those seeking consistent upward momentum. Its RWA model is strong, yet heavy dependence on institutional backing reduces accessibility for broader communities.
While ONDO is known for structure and compliance strength, it lacks the energetic growth patterns seen in newer reward driven ecosystems. Retail participants often look for activity based earning potential, which ONDO does not prioritize.
Conclusion: Is LivLive the Best Crypto to Join Now for Q4 2025? Every coin mentioned today holds a place in the market, but only one aligns first mover advantages with real activity rewards, AR experiences, daily missions, mining, and a global treasure vault. That is why LivLive rises as the best crypto to join now for community members seeking meaningful entry positions before 2026 expansion begins.
LivLive presale offers a rare combination of utility, lifestyle integration, rewards, and growth structure. Early entries gain bonus tokens, referral benefits, and multipliers that accelerate allocations. Use EARLY100 or BOOST200 during the LivLive presale to secure stronger positions. Those who move early receive advantages that late buyers cannot match.
Find Out More Information Here Website: www.livlive.com
X: https://x.com/livliveapp
Telegram Chat: https://t.me/livliveapp
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