In the past year or two, the integration of AI with the crypto market has mainly revolved around one theme—AI trading coins. Sounds very Web3, right? But reality has given everyone a slap.

Last year, there was an AI trading competition claiming real money, with strategies running fully automatically and zero human intervention. And the result? A single market reversal basically crushed all the participating strategies. Many people's first reaction was "Oh, maybe the model isn't smart enough," but the real problem wasn't that at all—the direction was off from the very beginning.

To put it simply, these trading robots, Agents, autonomous traders—no matter how fancy their names—are essentially the same: they rely on capturing short-term Alpha, assuming the market environment remains relatively stable. Once faced with extreme volatility or liquidity shocks, they fail. In environments like DeFi, this isn't just "occasional glitches," but inevitable crashes.

The real issue isn't that complicated. The difficulty in Web3 has never been "how to place orders," but rather how to manage—cross-chain risks, cross-asset portfolios, diversified revenue channels(DeFi, CeDeFi, RWA, centralized exchanges)—these are the hurdles that can't be bypassed. Instead of continuing to refine those smart but fragile trading robots, it's better to apply AI to asset management, the layer that truly needs intelligence.