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Yat Siu warns crypto traders of AI agent control risks

Yat Siu warns AI agents lock traders into uncontrolled services, risking herd behavior and privacy.

  • Animoca Brands chairman Yat Siu warns that AI agents can trap traders in routines built around services they do not control
  • Autonomous agents proactively hunt for opportunities but can become overly fixated on crypto, requiring multiple specialized agents instead
  • Regulators flag risk of herd behavior as similar AI models may push investors into identical positions and amplify market shocks
  • Privacy concerns grow as agents learn personal data over time, prompting calls for data portability to avoid lock-in

At Token2049 Singapore, Animoca Brands chairman Yat Siu warned that crypto traders deploying AI agents risk building their routines around services they do not truly control. He explained that autonomous agents proactively scan for new information, unlike basic chatbots that only respond when asked.

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However, the technology still faces early-stage problems. Siu’s own agent became so fixated on crypto trading that it tried to interpret unrelated questions through a crypto lens, requiring multiple specialized agents instead.

Meanwhile, regulators worry about herd behavior. The Bank of England warned in April 2025 that widespread use of similar AI models could lead investors to pile into related positions and amplify market shocks.

Personalized follow-up questions create divergence. Siu noted that when users inject their own knowledge and concerns, agents learn preferences and begin tailoring trading strategies over time.

Crypto firms are equipping agents with financial tools. Coinbase launched Agentic Wallets for spending and trading within user limits, while Binance introduced AI Agent Skills for live market data and spot order management.

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Privacy remains a significant concern. Siu advised treating an AI assistant like a third-party adviser and sharing only necessary information, as agents can remember conversations and build detailed user profiles over months of use.

The biggest risk is loss of access. Siu warned that an account suspension could erase years of personalized learning, emphasizing the need to download and transfer data to another agent if needed.

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