Whales lost $20.4 million on AI client tokens down 88%.


A whale lost $20.4 million after investing $23 million in AI agent tokens on the Al Qaeda blockchain, which sold for just $2.58 million. This 88.77% decline is one of the largest single trading losses for any cryptocurrency, with individual tokens falling as much as 99%.

This significant loss highlights growing fears of speculative bubbles in the AI ​​token market. Here, hype and unclear use cases fuel extreme volatility in investment portfolios.

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How a whale lost more than $20 million on AI customer codes

On-chain analytics platform Lookonchain traced the whale wallet into six AI agent tokens. The biggest loss was in FAI, which cost $9.87 million, a drop of 92.31%. AIXBT resulted in a loss of $7.81 million, representing a decrease of 83.74% from the purchase price.

The remaining centers showed similar sharp declines. BOTTO fell by $936,000, or 83.62%. registration call $839,000, down 98.63%.

NFTXBT saw the biggest percentage decrease, falling 99.13% and losing $594,000. MAICRO ended the season with a loss of $381,000, representing a drop of 89.55%.

Profit and loss graph of Whale AI agents
Cumulative P&L chart showing the whale’s continued decline in AI client tokens. Source: Currency desk on X

title The investor’s portfolio now contains only $3,584 in diversified assets, mainly foreign credit dividends and small holdings in BYTE, MONK and SANTA. This dramatic exit highlights the almost complete loss of the AI ​​agent codes.

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The speculation of artificial intelligence agent codes is under scrutiny

He promises Basic blockchain chainfrom Coinbase, a popular launchpad for cryptocurrency AI projects. However, the sector faces criticism due to excessive hype and limited working products.

Many AI agent codes lack real utilityleaving traders vulnerable to quick gains and equally quick crashes.

Observers point out that AI agent codes often benefit from promises rather than work. Autonomous agents on the blockchain attract the attention of investors, but few projects achieve functional results.

As sentiment changes, token holders face significant risks due to poor liquidity and poor utility.

“This may be one of the worst investments ever. A whale/organization spent $23 million to buy proxies of AI tokens in #Base and sold everything today for only $2.58 million, resulting in a loss of $20.43 million (-88.77%).” I got stuck Lookonchain.

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Whale’s exit coincided with a decline in enthusiasm for AI codes in early 2025. When the sector fell by 77%.

After a wave of investments in artificial intelligence by the end of 2024Investors reevaluate investments because few projects achieve their goals. This trend is fueled by further price declines, especially for tokens with concentrated ownership and little liquidity.

Risk management: lessons for investors

Whale has largely concentrated its funds in AI agent tokens at the base, with its lack of diversification and risk management.

Allocation of $23 million across six interconnected assets in a single narrative increased systemic risk. With the change in sentiment, all the shares decreased, revealing the risk of central positions.

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AI agent token loss breakdown
Breakdown of losses into six AI agent tokens on the underlying blockchain. Source: Lookonchain

Professional traders usually limit exposure to avoid large losses arising from failure narratives. The absence of stages or disciplined account sizing made the losses of the whale much worse.

At the time the sites closed, recovering break-even status would require extraordinary returns. This case shows how quickly declines can occur without careful risk analysis and planning.

With NFTXBT and POLY losing more than 98%, a big comeback seems unlikely.

It remains unclear whether this indicates wider problems for the AI ​​agent codes. Projects with strong technical teams and real development can weather the storm.

Tokens that use AI hype without strong support are likely to continue to struggle as the market demands results and not just promises.



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