The artificial intelligence narrative remains one of the strongest themes in global technology and capital markets, but that momentum has not translated into price support for AI-linked crypto assets. Over the past week and especially over the last 30 days, the sector has posted broad and often severe losses, with leading tokens across decentralized AI, GPU infrastructure, autonomous agents, and indexing networks all trading sharply lower. Even as bitcoin climbed back above $91,000, the rebound did little to erase the red ink across most of the AI token complex.
Sector-wide weakness hits leading AI tokens
Among the best-known names in the segment, Bittensor (TAO) continued to lose ground. The token, tied to a decentralized intelligence network that rewards machine learning contributors, fell 6.8% over seven days and 23.55% over the past 30 days. It was trading at just above $288 at the time referenced in the source material. While TAO remains one of the flagship assets in the decentralized AI category, recent market action suggests that narrative strength alone has not been enough to support valuations.
NEAR Protocol’s token NEAR, often associated with infrastructure for AI-native applications, saw an even steeper decline. It dropped 9.64% on the week and 39.61% over 30 days. The report also noted that NEAR remained about 92% below its all-time high, underscoring how far the token has fallen even as the broader ecosystem continues building AI-related tools and developer features. At the time cited, NEAR was priced around $1.68.
Internet Computer’s ICP also suffered heavy losses. According to the source, ICP declined 14.86% over seven days and 61.85% over 30 days, making it one of the hardest-hit major tokens in the group. ICP was trading near $3.39. The network has positioned itself as infrastructure capable of supporting onchain AI applications and decentralized full-stack apps, but recent price behavior shows that market sentiment has remained firmly negative.
From GPU networks to tokenized IP, red dominated the board
Render (RENDER), which focuses on decentralized GPU-sharing infrastructure, posted a 11.87% weekly decline and a 30.52% monthly loss. Despite its reputation as one of the more practical AI-adjacent crypto plays, the token still fell to around $1.57. The weakness highlights a broader pattern across the sector: even projects with clearly identifiable use cases have not been insulated from sell-offs.
Story Protocol (IP), a project built around tokenizing intellectual property and embedding licensing logic into smart contracts, recorded one of the steepest weekly drawdowns in the group. Its token fell 21.01% in seven days and 44.28% over the month, with the price around $2.10. The project’s long-term vision may appeal to creators and digital rights markets, but in the current environment, traders appeared far more focused on reducing exposure than pricing in future adoption.
Virtuals Protocol (VIRTUAL), known for its autonomous onchain AI agent narrative, declined 11.46% over the week and 38.32% over 30 days. The token was quoted at approximately $0.88. The project remains one of the most visible names in the AI-agent segment, yet its recent price action suggests that investor enthusiasm around agent-based token models has cooled meaningfully.
Infrastructure and alliance tokens failed to escape the downturn
Injective (INJ), a layer-one blockchain focused on finance applications and also associated with AI-powered trading and prediction tools, fell 9.25% on the week and 25.8% on the month. At around $5.39, INJ held up somewhat better than some of its peers, but it still participated in the broader retreat affecting AI-related crypto assets.
The Artificial Superintelligence Alliance token FET also remained under pressure. The alliance, which combines Fetch.ai, SingularityNET, and Ocean Protocol, is one of the sector’s most ambitious collaborative efforts in decentralized AI. Even so, FET dropped 11.9% over seven days and 28.66% over 30 days, trading near $0.23. The numbers suggest that even a large-scale merger of recognized AI crypto brands has not shielded the token from deteriorating market appetite.
The Graph’s GRT, a core indexing and data infrastructure token often considered part of the broader AI and Web3 data stack, also logged notable losses. GRT slid 10.47% over the week and 30.05% over the month. The report added that the token was roughly 98% below its all-time high of $2.65, trading near $0.045. That performance illustrates how deeply some infrastructure names remain disconnected from their earlier cycle peaks.
A rare green exception: FARTCOIN
One of the most striking details in the source material was that FARTCOIN, described as an AI-themed meme token, stood out as the only major gainer in an otherwise deeply negative field. It rose 13.73% over seven days and 38.16% over 30 days, reaching around $0.379. While the move may draw attention, it also reinforces the uneven and speculative nature of capital flows within the segment. In a market where infrastructure and utility tokens are falling, a meme-linked outlier gaining ground says as much about sentiment distortion as it does about opportunity.
Theta (THETA), meanwhile, continued to trend lower as well, trading around $0.331 and adding to the impression that this was not an isolated sell-off affecting only a handful of names. Rather, the weakness extended across categories, from decentralized compute and AI application layers to agent-based tokens and data infrastructure.
Strong narrative, weak price action
The broader takeaway is that the AI crypto theme remains culturally powerful, but market pricing has turned decisively cautious. AI continues to dominate headlines outside crypto, and blockchain projects tied to machine learning, autonomous systems, GPU marketplaces, and decentralized data services still occupy a prominent place in industry discussions. Yet the latest performance figures show that investors have become more selective, or more risk-averse, when it comes to assigning value to those narratives.
That disconnect matters. In earlier phases of the market, a strong thematic story could sometimes sustain token prices despite weak short-term fundamentals. The current snapshot suggests that this dynamic has changed. Buyers appear less willing to support valuations purely on concept or future potential, especially when weekly and monthly losses keep piling up across the board.
Whether this period proves to be a temporary drawdown or a deeper sector reset will likely depend on a few factors that the market is still trying to resolve: the return of risk appetite, clearer evidence of user adoption, and stronger conviction that AI-focused crypto networks can convert narrative relevance into durable onchain activity. For now, the numbers remain difficult to ignore. Across most leading AI tokens, the charts tell a simple story: interest in AI may still be high, but capital has been moving with much greater caution.