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AI Agents Could Accelerate Autonomous Trading, CFTC Chief Says

The agency is weighing who is responsible when AI agents trade, while Selig points to crypto markets as a precedent for clarifying rules around software developers.

AI Agents Could Accelerate Autonomous Trading, CFTC Chief Says
AI Agents Could Accelerate Autonomous Trading, CFTC Chief Says
AI Agents Could Accelerate Autonomous Trading, CFTC Chief Says
AI Agents Could Accelerate Autonomous Trading, CFTC Chief Says

CFTC Chairman Mike Selig said AI agents could accelerate the shift toward autonomous trading, while raising open questions about how regulators should oversee them. At a Wednesday forum, he said the convergence of AI, crypto and modern financial infrastructure could expand access to financial tools and create new economic activity.

Why it matters

Selig asked whether an AI agent’s developer should have to register if the agent identifies and executes trades for a user, and who would be liable if it acted improperly. He also questioned how regulators could identify the person or entity behind an agent, including whether a new “know your agent” framework is needed.

He said the CFTC’s experience with crypto could help. Developers and entrepreneurs in crypto markets have faced uncertainty over whether publishing code or building user interfaces could trigger rules designed for traditional intermediaries. Selig said the agency has worked to provide greater clarity on those questions.

Market impact

The debate matters as AI tools lower barriers to building trading algorithms. Architect CEO Brett Harrison said consumer tools such as Claude, ChatGPT and Gemini can turn unstructured information, including news, into trading decisions. He said both large firms and smaller market participants are using these systems to analyze markets and create fair-value signals.

Selig also described a future in which devices make autonomous purchases using funds earned through activities such as launching a memecoin or staking ether. The CFTC plans a separate roundtable on 24/7 trading for December 15, extending the agency’s work on changing market structures.

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Frequently asked questions

  1. What regulatory questions did Mike Selig raise about AI trading agents?

    Selig asked whether an agent’s developer should register when it executes trades for a user, who is liable if it goes rogue, and how regulators can identify whom the agent represents.

  2. What does “know your agent” refer to in the CFTC discussion?

    It is a framework Selig raised as a possibility for identifying the people or entities behind AI agents that participate in markets.

  3. Why did Selig point to crypto as a possible model for AI regulation?

    Crypto markets have faced questions about whether publishing code or building user interfaces can trigger rules designed for traditional financial intermediaries. Selig said the CFTC has worked to provide clarity on those issues.

  4. How could consumer AI tools affect trading, according to Brett Harrison?

    Harrison said tools such as Claude, ChatGPT and Gemini can parse unstructured information, including news, and help produce trading decisions and fair-value signals.

  5. What other market-structure issue is the CFTC planning to discuss?

    The CFTC plans to hold a roundtable on 24/7 trading for December 15.

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