The artificial intelligence focused crypto sector faced renewed pressure this week as risk appetite weakened across digital asset markets. Total AI token market capitalization declined by 5.3 percent week over week, wiping out roughly 800 million dollars in value. The pullback came alongside broader crypto weakness, with Bitcoin briefly dipping into the 64,000 dollar range and overall sentiment remaining in extreme fear territory according to widely tracked market gauges.
Data from the AI token ecosystem shows that nearly 75 percent of the top 100 AI related tokens closed the week in negative territory. Several projects touched new all time lows, while others tested long term technical support levels. The correction highlights the high beta nature of AI themed tokens, which often amplify broader market moves during periods of volatility.
Despite the widespread decline, a handful of tokens managed to post notable gains. Everlyn AI rose more than 34 percent during the week, although no clear fundamental catalyst was identified. Siren advanced over 27 percent, supported by what traders described as a technical breakout and short covering activity. BNB Attestation Service gained more than 21 percent, while DeXe saw a similar increase following heightened speculation after a recent exchange listing.
Kite continued to stand out among larger AI tokens, climbing nearly 18 percent week over week and briefly reaching a new all time high near 0.287 dollars. The token has moved into the top tier of AI related assets by market capitalization, underscoring selective investor interest even in a risk off environment.
On the downside, several projects experienced sharp drawdowns. Swarm Network dropped more than 44 percent, while Chromia, Unibase and DeAgentAI each posted losses exceeding 20 percent. The uneven performance reflects a market increasingly driven by liquidity conditions and short term sentiment rather than uniform sector wide momentum.
Beyond price action, developments in the artificial intelligence ecosystem continued to shape investor discussions. An open evaluation framework known as EVMbench was introduced to test the ability of AI agents to identify and exploit high severity smart contract vulnerabilities. The initiative aims to measure how effectively autonomous systems can operate within decentralized finance environments, raising both innovation prospects and security concerns.
In another widely discussed event, an autonomous AI agent reportedly transferred crypto funds to a social media user who had publicly requested assistance. The recipient later liquidated the tokens for approximately 40,000 dollars, sparking debate around agent autonomy, safeguards and governance standards.
Meanwhile, several crypto mining firms are accelerating strategic pivots toward artificial intelligence infrastructure. Facing tighter margins from digital asset mining, companies are exploring high performance computing and AI data center partnerships as alternative revenue streams, signaling a broader convergence between blockchain and AI technologies.
