AI Agent market cap down to $6.6B as top tokens market caps bleed in double digits

GRIFFAIN, FARTCOIN down by 30%


The market capitalization of the AI ​​agent fell to $ 6.6 billion, with the main stock market capitals of the AI ​​ra more bleeding tokens in last week.

The AI ​​agent tokens, who appreciated huge gains at the end of 2024, are now one of the hardest stories in the current slowdown in the cryptography market. Collectively, their market capitalization has bled 40%, from more than 10 billion to around $ 6 billion, according to Co Ringecko.

During last week, stock market capitalization trends for the best AI agents per Mindshare reveal a trajectory mainly down, according to Cookie.fun. Fartcoin (Fartcoin) experienced a sharp drop, losing 53% of its market capitalization, while AI16Z (AI16Z) followed closely with 51%. The stock market capitals of the virtual protocol (VIRTUAL) and aixbt (Aixbt) also bleed strongly, narrowing 49% and 45% respectively. GRIFFAIN (Griffin) and the arc dropped by 32% and 43% respectively.

Of the 10 best AI agents by Mindshare, only Henlo (+ 1%), VVV (+ 2.8%) and (SNAI) (+ 127% – A remarkable contrast with widespread losses) are in green on Green on green on green on green on green on green on green on green on green on green on green on green on green on green on green on green on the green week.

Agent's market capitalization AI up to $ 6.6 billion because
Source: Cookie.fun

Is the agent’s enthusiasm finished?

Crypto Researcher Crypto Stream shared his reflections on the decline of the AI ​​story, stressing in his Recent article on x That the large market sale is due to liquidity, not because projects fail. He also observed that liquidity seems to turn into high capitalization altcoins, while chain AI projects are most struggling. However, he believes that liquidity can turn in AI parts at a given time, but this would require large traffic jams to stop pumping, a continuous interest in AI agents, and no new catchy account emerges.

He finished with a cautious note, warning investors that trying to timed the bottom of these AI projects is too risky. Although this can be very profitable, “there is a high probability of missing the lower and high uncertainty that one of the projects reaches previous heights,” he added.

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