CFTC chair says refrigerators could one day launch memecoins

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Who will be responsible for AI agents' trades?

According to Selig, the emergence of autonomous trading programs is forcing regulators to reconsider traditional approaches to overseeing financial transactions.

"Consider an AI agent that identifies trading opportunities and executes transactions on behalf of a user. 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?"

These questions are becoming increasingly relevant as AI adoption grows among retail investors. According to an eToro survey published in September, 79% of U.S. millennial investors and 77% of Gen Z investors already use artificial intelligence to manage their investments or are open to adopting such tools.

Selig believes AI could make advanced risk management technologies accessible to smaller businesses and retail traders. Automated systems can process vast amounts of market information much faster than humans and help investors make decisions.

What risks could AI pose to financial markets?

Alongside its benefits, autonomous trading introduces new risks. AI agents may react unpredictably to changing market conditions, while the use of similar models could lead to large numbers of traders opening identical positions.

The speed of automated transactions presents another challenge. According to the CFTC chair, it could make monitoring trading activity and identifying risks in a timely manner more difficult.

Animoca Brands Chairman Yat Siu previously warned about the dangers of AI-generated trading recommendations becoming too similar. In an interview with Cointelegraph, he noted that a thousand users asking AI the same question about a trade could receive nearly identical answers.

The Bank of England's Financial Policy Committee has expressed similar concerns. The regulator warned that widespread use of similar AI models could amplify market shocks.

Where are AI agents being used today?

AI agents are gradually becoming part of everyday business operations. They help companies handle customer inquiries, schedule meetings, analyze documents, prepare reports, and automate procurement. Unlike conventional chatbots, these systems can independently complete sequences of interconnected tasks, interact with different applications, and make intermediate decisions without constant human instructions.

Software development is one of the fastest-growing areas of adoption. AI agents can already write and test code, identify bugs, and suggest fixes. In e-commerce, such systems help users select products, compare offers, and place orders. However, most of these solutions still operate within limits set by users or developers, while critical actions often require human approval.

The CFTC also plans to publish trader reports twice a week.

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