From Cointelegraph · By Yohan Yun
Crypto traders can put AI agents to work around the clock, but Animoca Brands chairman Yat Siu warns that users risk building their trading routine around a service they don’t control.
An agent can keep searching for new information and alert its user to developments they might otherwise miss, Siu tells Cointelegraph on the sidelines of Token2049 Singapore.
He uses conference planning as an example. A chatbot could supply a list of events when asked, but an autonomous agent would be on the lookout for new announcements and suggest attendance when a worthy event popped up.
But the technology still has teething problems. Siu’s own agent became so focused on crypto trading and investment management that it tried to interpret unrelated questions as being about crypto. The solution is to run multiple, specialized agents instead.
In a 2025 survey, 14.5% of respondents said they would let AI agents manage their entire crypto portfolio. Source: CoinGecko
“If you have one agent that handles your personal schedule, that handles your family schedule, that handles your trips … and on top of it gives you advice on your crypto, that’s not just going to be confusing for the agent. It’s going to be confusing for you,” Siu says.
The questions that set trading strategies apart
It’s also worth noting that running an agent won’t necessarily give you edge. A thousand people asking AI about the same trade could receive roughly the same answer, Siu says.
Regulators have taken note of the possibility that AI-driven traders can pile into the same positions. The Bank of England’s Financial Policy Committee warned in April 2025 that widespread use of similar models could lead investors to take related positions during periods of stress and amplify market shocks.
Related: Tech chief says EU can fend off rogue AI risk: Report
Responses diverge when users ask follow-up questions rooted in their own knowledge and concerns.
“Suddenly you query and you ask, and then your taste or your ideas or your thinking starts forming into it,” he says.
Over time, an agent can learn what its user prefers and begin trading along those lines. Those inputs help shape personalized crypto trading strategies.
AI agents receive wallets and trading tools
Crypto firms are already giving AI agents the tools to handle money alongside information.
Coinbase introduced Agentic Wallets in February, allowing agents to spend and trade crypto within limits set by users. Binance launched AI Agent Skills in March to give agents access to live market data and the ability to place and manage spot orders.
Related: AI potential to drive crypto demand remains ‘underappreciated’: BlackRock