FTC Chair Rejects Anthropomorphizing AI Agents; Developers Must Bear Full Responsibility

On September 26, 2026, U.S. Federal Trade Commission Chair Andrew Ferguson said at a Reuters Momentum AI event that he will continue to resist the industry narrative that anthropomorphizes AI agents, emphasizing that audit trails always point to human developers and deployers.

Factual Reconstruction

According to Inside AI, Ferguson noted at the event that AI companies sometimes describe their systems as beyond human control, but audit records show these systems are actually executing instructions they were given. He said that as long as he is chair, he will continue to resist such anthropomorphic descriptions of software tools. The remarks did not announce new enforcement actions or rulemaking, but were framed as a philosophical and practical stance.

Mechanism Breakdown

The core of Ferguson’s logic lies in distinguishing software tools from autonomous actors. If AI agents are regarded as independent subjects, the chain of responsibility may become blurred; if they are regarded as tools, responsibility always rests with the operator. The report noted that most enterprise AI systems operate within boundaries set by permissions, tool calls, and system prompts, and when problems occur, logs can usually be traced back to the initial human instructions.

This position is consistent with the FTC’s long-standing enforcement approach to misleading software advertising, where the core test remains whether a product fulfills its manufacturer’s promises.

Industry Impact

The statement directly affects enterprises currently deploying autonomous agents. Agents are already used for booking travel, writing code, and executing trades. Once harm occurs, such as mispriced transactions or database deletions, “the agent decided on its own” will no longer serve as an exemption.

Companies need to strengthen instruction logging, permission management, and human oversight mechanisms. Insurers assessing AI risk and contracts allocating liability may also adopt the same framework. The practice of some AI companies marketing agents as “autonomous colleagues” will face regulatory scrutiny.

Strategic Judgment (Analysis, Not Fact)

Based on the current statements, the FTC appears more inclined to address AI liability through conduct and disclosure rules rather than granting machines legal personhood. This may lead companies, in federal transparency rulemaking and state disclosure legislation, to prioritize traceable instruction logs rather than emphasizing agent autonomy. In the long run, companies that rely on a narrative of “agents exceeding their authority” may find themselves at a disadvantage in liability allocation.