Artificial intelligence remains one of the strongest narratives in global technology and finance, but AI-linked crypto tokens have been moving in the opposite direction. Over the past week and especially over the past 30 days, most major tokens associated with AI infrastructure, decentralized computation, autonomous agents, and data services have posted deep losses. Even with bitcoin climbing back above $91,000, the broader AI crypto segment has remained under pressure.
Market Leaders Struggle Across Weekly and Monthly Timeframes
Among the best-known names in the sector, Bittensor (TAO) has also been unable to avoid the sell-off. The token fell 6.8% over the past seven days and 23.55% over the past 30 days, trading at just over $288. TAO is often tied to the decentralized AI model economy narrative, where contributors are rewarded for building and supporting machine learning networks, yet that longer-term thesis did little to protect price action in the latest stretch.
NEAR Protocol, which has increasingly positioned itself around AI-native applications and developer tooling, posted even sharper declines. NEAR fell 9.64% on the week and 39.61% on the month. The report also notes that the token remains roughly 92% below its all-time high, underscoring how severely sentiment has deteriorated despite ongoing ecosystem development.
Internet Computer (ICP) delivered another weak reading. The token lost 14.86% over seven days and a steep 61.85% over 30 days, leaving it at around $3.39. ICP’s pitch as infrastructure for onchain applications, including AI-powered decentralized apps and alternatives to traditional cloud architecture, has not insulated it from the broader pullback in the sector.
Render (RENDER), a token closely watched because of its link to decentralized GPU sharing and compute demand, dropped 11.87% on the week and 30.52% over the month. It was trading around $1.57, suggesting that even projects with practical links to AI workloads have not escaped the recent wave of selling.
Weakness Extends Beyond Flagship AI Names
The pressure has not been limited to a few large-cap tokens. Story Protocol (IP), which focuses on tokenized intellectual property and licensing logic onchain, declined 21.01% over the past week and 44.28% over the month. The token was changing hands at roughly $2.10. While the project is tied to a distinct use case around digital ownership and programmable rights, traders were clearly not willing to hold through the drawdown.
Virtuals Protocol (VIRTUAL), known for its autonomous onchain AI agent narrative, also moved lower. It fell 11.46% over seven days and 38.32% across 30 days, with the token priced near $0.88. The market may still be interested in the long-term idea of tokenized AI agents, but recent price performance suggests that investors have turned more defensive in the short term.
Injective (INJ), which combines layer-one blockchain infrastructure with finance-focused applications and AI-powered trading or prediction tools, recorded losses of 9.25% for the week and 25.8% for the month. The token was trading around $5.39. While those declines were less severe than some peers, they still reflect broad risk-off sentiment across the AI token category.
Artificial Superintelligence Alliance (FET) also remained under pressure, posting a 11.9% weekly decline and a 28.66% monthly drop. The token was priced near $0.23. Given that the alliance brings together Fetch.ai, SingularityNET, and Ocean Protocol, its performance is notable because it represents one of the sector’s most concentrated decentralized AI ecosystems.
The downturn also hit AI-adjacent infrastructure projects such as The Graph (GRT). GRT lost 10.47% over the past seven days and 30.05% over 30 days. The report adds that the token remains about 98% below its all-time high, trading around $0.045 compared with a peak of $2.65. That gap highlights how difficult the environment has become even for projects providing core indexing and data services.
One Outlier Turns Green While the Rest of the Sector Bleeds
In a market dominated by red candles, one of the few exceptions was FARTCOIN, an AI-themed meme token. It gained 13.73% over the week and 38.16% over the month, trading near $0.379. That made it one of the rare green spots in an otherwise weak segment.
Still, the strength of a single meme-oriented token does little to change the broader picture. The report also noted continued weakness in THETA, which extended its losses across multiple timeframes. Taken together, the data suggests this is not just a problem affecting one or two underperforming projects. It is a sector-wide pullback that spans infrastructure, application layers, AI agent platforms, GPU markets, and tokenized data or IP networks.
Narrative Strength Has Not Translated Into Price Support
The latest performance is especially striking because AI remains one of the most visible themes in both mainstream media and technology investing. In theory, that kind of narrative attention might be expected to support token prices. In practice, however, crypto markets have shown once again that strong headlines do not guarantee market resilience.
AI coins generally refer to cryptocurrencies that integrate artificial intelligence into blockchain-based systems, whether through automation, decentralized compute, data processing, prediction tools, or autonomous digital agents. That thematic relevance still exists. Projects in the category continue building products tied to machine learning networks, GPU sharing, indexing infrastructure, and AI-powered applications.
But the latest numbers point to a clear cooling in risk appetite. Traders may still believe in the long-term role of AI in crypto, yet they have become far less willing to pay up for that exposure in the current market environment. The disconnect between the strength of the AI narrative and the weakness of token prices is now one of the defining features of the segment.
What Comes Next for AI Tokens?
For now, the sector appears to be in a reset phase rather than a momentum phase. Prices have improved somewhat alongside bitcoin’s rebound, but the weekly and monthly statistics remain overwhelmingly negative. That suggests any recovery will need more than a short-lived bounce in broader market sentiment.
Whether this downturn proves to be a temporary correction or a deeper repricing of the AI crypto trade will likely depend on two factors. First, capital will need to return to higher-risk altcoin sectors. Second, investors will need renewed conviction that AI-related crypto projects can translate attention and utility into sustained token demand.
Until then, the message from the market is clear: AI may still dominate the conversation, but within crypto, narrative strength alone is no longer enough to shield token prices from heavy selling.