From Cointelegraph · By Felix Ng
Commodity Futures Trading Commission Chair Michael Selig says it is “no longer science fiction” to imagine one’s refrigerator autonomously purchasing groceries with money earned from staking Ether — or even launching its own memecoin, raising questions about how regulators should oversee autonomous AI agents.
The colorful comment came during Selig’s remarks at the CFTC’s inaugural Frontier Forum in Washington, DC, on Wednesday, where he argued that regulators must adapt to a financial system where AI agents can hold assets and execute trades autonomously.
“We’re gathered here today to discuss a technology that’s rapidly transforming the financial markets. President Trump calls it ‘super intelligence,’ or SI, because ‘it’s not artificial.’ It’s as real as the printing press, the steam engine, and the internet,” he said.
The regulatory questions come as younger investors embrace AI tools for managing money. An eToro survey published in September found that 79% of US millennial investors and 77% of Gen Z investors already used or were open to using AI to select or adjust their investments, highlighting the potential reach of rules governing automated finance.
Selig says the CFTC’s regulatory framework was developed around “identifiable market participants” performing specific financial functions, but autonomous software is raising questions about how those rules apply.
“Consider an SI agent that identifies trading opportunities and executes transactions on behalf of a user,” said Selig.
“Does the developer of that agent become subject to registration? Who is liable if the agent goes rogue? How can regulators know who the agent, or suite of agents, is trading on behalf of? Do we need a new flavor of know-your-customer, maybe KYA or know-your-agent?”
AI could democratize trading, but bring new risks
Selig said AI could give smaller traders and businesses access to risk-management that was once reserved for larger institutions.
“SI can help process the vast amount of information significantly faster than human brain power and with greater accuracy,” he said.
But greater autonomy also comes with new risks. Agents could react unexpectedly to market conditions, while those using similar models could generate correlated trading behavior. The speed of autonomous transactions could also complicate market surveillance and risk management, he said.
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Animoca Brands Chairman Yat Siu recently raised a similar concern, telling Cointelegraph that a thousand people asking AI about the same trade could receive roughly the same answer. Users’ own knowledge and follow-up questions help shape more personalized strategies, he said.