The artificial intelligence crypto sector is reeling from a sharp correction that began in late January and intensified through the first week of February 2026. AI-focused tokens including Bittensor (TAO), Render (RNDR), and Grass (GRASS) suffered double-digit losses as a confluence of macro headwinds and a critical Microsoft infrastructure decision rattled investor confidence across the market.
TL;DR
- AI crypto token market cap fell 10% in 24 hours, with total AI coin valuation dropping to approximately $12.5 billion
- Bittensor (TAO) crashed 10% in 24 hours and 24% over seven days, falling to $158
- Render (RNDR) dropped 10% in 24 hours and 20% over the week
- Microsoft’s decision to halt data center developments in multiple countries triggered the AI infrastructure selloff
- Bitcoin held near $73,000, down 18% over seven days as broader crypto markets faced a risk-off environment
Microsoft Pulls the Brakes on AI Infrastructure
The catalyst behind the AI token selloff was a Bloomberg report revealing that Microsoft is halting or delaying data center developments across the United Kingdom, the United States, Australia, and Indonesia. The decision is particularly significant given Microsoft’s position as one of the world’s largest data center operators, spending over $74 billion annually on data infrastructure.
Microsoft’s partnership with OpenAI, the company behind ChatGPT, has made it the commercial leader in AI cloud services. When a company of that scale signals a pullback, markets interpret it as a potential slowdown in the AI infrastructure buildout — a thesis that directly undermines the value proposition of decentralized AI compute tokens like Render and Bittensor.
Analysts at TD Cowen had already warned of a potential oversupply in data centers relative to current demand, and Microsoft’s move appeared to validate those concerns. The implication for crypto AI tokens is clear: if the largest centralized AI infrastructure player is questioning demand, decentralized alternatives face even tougher questions about near-term revenue viability.
AI Token Bloodbath Across the Board
The damage extended well beyond TAO and RNDR. Grass (GRASS) crashed 20% as the token’s passive data collection model faced scrutiny amid weakening AI sentiment. The total market capitalization of all AI tokens tracked by CoinGecko fell 10% in a single day.
AI meme coins were hit even harder. Tokens in the Virtuals Protocol ecosystem — including GAME, Luna, aixbt, and Iona — lost hundreds of millions of dollars in value. GAME’s valuation plummeted from $350 million in January to just $13 million, a staggering 96% decline that illustrates how quickly speculative capital exits when the narrative shifts.
The selloff in AI tokens mirrored a broader downturn in AI-related equities. NVIDIA, the dominant force in AI chip manufacturing, has fallen more than 30% from its 2024 high. AMD, the second-largest AI chip maker, dropped to $98 — down 47% from its highs for the year. Enterprise AI companies like C3.ai and SoundHound also posted significant losses.
Bittensor Futures Signal Deepening Pessimism
Bittensor, the largest decentralized AI crypto project by market influence, showed particularly bearish signals in its derivatives market. Open Interest (OI) in TAO futures dropped to $106 million — the lowest level since September 2024 and a sharp decline from $111 million just 24 hours earlier.
For context, TAO’s OI peaked at $418 million in early November 2025 when the token was trading at $539. The collapse in Open Interest from $418 million to $106 million represents a 75% reduction in leveraged positioning, indicating that traders are systematically closing positions rather than opening new ones.
Technically, TAO sits well below all major moving averages. The 50-day Exponential Moving Average (EMA) stands at $232, the 100-day EMA at $264, and the 200-day EMA at $299 — all sloping downward, confirming the bearish trend. The Relative Strength Index (RSI) has reached 28, placing TAO in deeply oversold territory, though oversold conditions can persist in strong downtrends.
Ethereum and the Broader Market Context
The AI token crash coincided with a brutal period for the broader crypto market. Ethereum (ETH) fell to $2,143, posting a 28.7% decline over seven days — significantly worse than Bitcoin’s 18% weekly drop. Solana (SOL) dropped 26% over the same period to $92. The total crypto market cap shed hundreds of billions in value.
Bitcoin spot ETFs recorded $318 million in outflows, marking the third consecutive week of institutional selling. NEAR Protocol (NEAR) fell to $1.01, down 17% over seven days, while Internet Computer (ICP) dropped 20% over the same timeframe.
Funding rates for AI tokens turned negative, meaning traders are actively paying to maintain short positions — a signal that bearish sentiment remains dominant and liquidation risks continue to mount.
Why This Matters
The AI crypto selloff of early February 2026 underscores a critical tension in the sector: the gap between infrastructure promise and market reality. While decentralized AI compute networks like Bittensor and Render offer compelling long-term value propositions — censorship-resistant compute, cost efficiency, and permissionless access — they remain deeply correlated with both the broader crypto market and AI equity sentiment.
Microsoft’s data center pullback does not invalidate the decentralized AI thesis. If anything, it highlights the risks of centralized infrastructure dependency. But in the short term, markets price narratives, not fundamentals. The projects that survive this downturn will be the ones demonstrating real usage, revenue, and developer activity — not those relying on AI hype alone.
Disclaimer: This article is for informational purposes only and does not constitute financial advice. Cryptocurrency investments carry significant risk. Always conduct your own research before making investment decisions.
This just shows how tied ‘AI crypto’ is to traditional tech sentiment rather than actual on-chain utility. If Microsoft sneezes, the whole AI token sector catches a cold.
The data center pullback is a reality check for the ‘limitless AI growth’ narrative. Investors are realizing that compute resources are finite and expensive.
sarah jenkins is right about the reality check. microsoft spending $74B annually on data centers and pulling back means the demand projections were inflated
Sold my AI token bags right before the Microsoft news. Sometimes you just have to follow the infrastructure developments to see where the market is headed.