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Whale Loses $20M on Base AI Tokens After $23M Bet Collapses

By

Shweta Chakrawarty

Shweta Chakrawarty

A whale lost $20.4M on Base after a $23M bet on Artificial Intelligence agent tokens collapsed by 89% due to drying liquidity.

Whale Loses $20M on Base AI Tokens After $23M Bet Collapses

Quick Take

Summary is AI generated, newsroom reviewed.

  • A crypto whale realized a $20.4 million loss after exiting a $23 million position in Base AI tokens.

  • The portfolio, including tokens like FAI and AIXBT, plummeted 89% as liquidity vanished during the exit.

  • FAI alone accounted for a $9.9 million loss, while AIXBT erased over $7.8 million of the whale's capital.

  • The incident underscores the extreme liquidity risk of large-scale bets on small-cap AI narratives.

A large crypto whale has taken one of the harshest losses seen on Base this month. Onchain data shows the investor spent about $23 million buying AI agent tokens across the Base network. This week, the same wallet exited every position. The total return came in at just $2.58 million. That move locked in a loss of roughly $20.4 million. In percentage terms, the portfolio collapsed by nearly 89%. 

Lookonchain flagged the trades as one of the worst recent AI token investments on Base. At first, the strategy looked bold. The whale spread capital across several trending AI-related tokens. But when liquidity dried up, the exit proved brutal. Size did not offer protection. It only magnified the damage.

Token-by-Token Losses Tell a Brutal Story

The largest hit came from FAI. Specifically, the whale spent nearly $10.7 million building the position. However, the final sale returned only about $822,000. As a result, that single trade erased almost $9.9 million. AIXBT followed close behind; in that case, a $9.3 million entry fell to roughly $1.5 million on exit. That position alone lost more than $7.8 million. Other tokens collapsed even harder on a percentage basis. POLY dropped by more than 98%. NFTXBT lost over 99%. MAICRO and BOTTO also fell more than 80%. In total, six AI-related tokens went from hype to heavy losses. None of the positions was profitable. All were fully closed on the same day.

Liquidity Risk Exposes the Limits of “Smart Money”

This trade highlights a recurring issue in small-cap narratives. AI agent tokens on Base often trade in thin markets. Prices can move fast on the way up. Exits, however, are another story. When a whale tries to leave, liquidity disappears. Slippage increases and panic spreads. The chart collapses. Several commentators noted that execution, not conviction, likely sealed the loss. Being early helps. Being large does not. In fact, size can become a liability. Once sentiment turns, there is no easy way out. Onchain data now shows the wallet holding only a few low-value tokens and less than one ETH. The once massive AI portfolio has effectively been wiped out.

A Cautionary Signal for Base AI Narratives

The Base ecosystem has seen strong growth. AI narratives added fuel earlier this year. However, this episode shows how fast those narratives can break. Smart money bleeds too. Deep pockets do not guarantee discipline. Hype does not replace liquidity and diversification does not help when correlations move to one. For retail traders, the lesson is simple. Follow onchain data, not just stories. Watch liquidity before entry. Plan exits early. For whales, the message is harsher. Markets do not care how big you are. When the door gets narrow, everyone rushes for it at once.

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