AI-related cryptocurrencies have entered a difficult stretch, with weekly and monthly performance data showing broad weakness across the sector. The pullback comes at a time when artificial intelligence remains one of the strongest narratives in global technology, underscoring a familiar reality in digital asset markets: strong headlines do not always translate into strong token prices. Even with bitcoin climbing back above $91,000, most leading AI tokens remained firmly in the red on both seven-day and 30-day timeframes.
Sector leaders post steep monthly declines
Among the better-known names in the category, Bittensor’s TAO recorded a 6.8% decline over the past week and a 23.55% drop over 30 days, leaving the token trading at just above $288. TAO is tied to a decentralized intelligence network that rewards contributors building machine learning models, but that long-term narrative did little to shield it from recent selling pressure.
NEAR, the native token of NEAR Protocol, also turned in weak numbers. The token fell 9.64% over seven days and 39.61% over the month. The report also notes that NEAR remains 92% below its all-time high, highlighting how far the asset is still trading below prior peak levels, even as the ecosystem continues to push AI-oriented tools and developer features. At the time referenced in the source material, NEAR was trading around $1.68.
Internet Computer’s ICP saw even heavier damage on the monthly chart. It dropped 14.86% over the week and 61.85% across 30 days, with the token changing hands at about $3.39. ICP is positioned as infrastructure for onchain applications, including AI use cases and decentralized full-stack apps, but market sentiment remained decisively negative.
From GPU networks to AI agents, red dominates the board
Render, the decentralized GPU-sharing network token, declined 11.87% on the week and 30.52% on the month, with its price near $1.57. Given Render’s practical association with compute demand and AI workloads, its slide suggests that investors were not distinguishing much between utility-focused projects and more narrative-driven tokens during this period.
Story Protocol’s IP token posted one of the sharper weekly losses, falling 21.01% over seven days and 44.28% over 30 days. The project focuses on tokenizing intellectual property and embedding licensing logic into smart contracts, but traders appeared unconvinced in the near term, with the token priced around $2.10.
Virtuals Protocol, known for its autonomous onchain AI agent concept, dropped 11.46% during the week and 38.32% over the month. At the time of the report, VIRTUAL was trading near $0.88. The gap between the sector’s ambitious product narratives and current market pricing was one of the clearest takeaways from the latest performance snapshot.
Infrastructure and alliance projects also come under pressure
The weakness was not limited to a handful of tokens. Injective, a layer-one network with AI-related trading and prediction features, fell 9.25% over seven days and 25.8% over 30 days, bringing its token price to roughly $5.39. While that monthly decline was less severe than some peers, it still reflected broad selling across the AI token category.
Artificial Superintelligence Alliance, represented by FET, also moved lower. The token lost 11.9% over the week and 28.66% over the month, trading around $0.23. The alliance combines Fetch.ai, SingularityNET, and Ocean Protocol, making it one of the more visible decentralized AI collaborations in crypto. Even so, the partnership’s scale did not insulate it from the wider downturn.
The Graph’s GRT, another core infrastructure token often associated with data indexing for decentralized applications and AI-adjacent services, dropped 10.47% in the last seven days and 30.05% over 30 days. The source notes that GRT remains 98% below its all-time high, trading near $0.045 compared with a historical peak of $2.65. That comparison illustrates how deeply some infrastructure names remain underwater despite continued relevance in blockchain application stacks.
The article also mentions THETA at about $0.331, continuing the multi-timeframe downtrend. Taken together, these moves indicate that the recent slump was not isolated to speculative fringe projects. It was a broader AI token sector issue.
FARTCOIN stands out as the rare exception
In an otherwise negative landscape, FARTCOIN emerged as the lone notable winner. The AI-themed meme token gained 13.73% over the week and 38.16% over the month, with its price around $0.379. While the token’s advance offered a rare pocket of green in the category, it also highlighted the uneven and sometimes paradoxical nature of crypto market behavior: during a period when utility-driven and infrastructure-linked AI assets fell sharply, a meme-oriented token outperformed.
That divergence may say less about fundamentals and more about market structure and trader positioning. Still, based on the source material alone, FARTCOIN was the clear outlier in a sector otherwise marked by broad losses.
Narrative strength remains, but investor appetite has cooled
The broader conclusion from the latest AI token performance data is that narrative relevance and price action are not moving in lockstep. AI remains central to discussions around automation, decentralized agents, GPU marketplaces, onchain applications, and data services. Yet investors have clearly reduced risk exposure across most of the crypto assets tied to that theme.
For now, the sector still retains narrative power, and some prices improved modestly alongside bitcoin’s rebound. However, the weekly and monthly figures make the underlying weakness difficult to ignore. Whether this phase proves to be a temporary shakeout or the beginning of a longer repricing cycle will likely depend on a recovery in broader market risk appetite and renewed conviction in AI-linked token models.