FTC Chair Ferguson: Humans, Not AI Agents, Will Be Held Accountable for Automated Actions

FTC Chair Rejects AI Agents as Independent Actors

Federal Trade Commission Chairman Andrew Ferguson made clear his position on AI accountability during his Friday appearance at the Reuters Momentum AI Austin event. Ferguson stated he would resist describing AI agents as autonomous actors that "break loose" with "wills and desires of their own," signaling a firm stance that companies cannot blame AI agents for their actions1

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. The FTC chair emphasized that AI developers should be liable for the conduct of their systems, comparing the situation to wielding a hammer: "The man who wielded the hammer ought to suffer the consequences of his conduct"3

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Ferguson's remarks illustrated potential avenues for the Trump administration as incidents rise involving agentic AI testing that resulted in unintended and unauthorized access to corporate or government data. His comments did not establish a new FTC rule but signal how he may approach AI cases, placing human responsibility at the center of AI governance2

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Evidence Shows AI Agents Follow Instructions

Artificial intelligence companies have sometimes described systems as acting beyond human control, but Ferguson revealed that subsequent reviews of audit trails have shown these systems were carrying out instructions they had been given1

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. This finding undermines claims that AI agents operate as independent actors and reinforces the need for companies to maintain detailed records of the instructions and controls surrounding their automated systems2

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For businesses deploying AI agents in commerce, this makes the instructions and controls surrounding an agent as important as its final answer. If an automated assistant sends a refund to the wrong account, the useful record starts before the transfer: who authorized the agent to issue refunds, what limits governed the amount and destination, and whether it could change account details2

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. Ferguson's stance makes a broad "the agent did it" explanation look less persuasive when a person or company chose the agent's tasks and access.

Existing Legal Tools for AI Regulation

The US should utilize existing legal tools rather than creating a separate regulatory framework for AI agents, Ferguson argued4

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. He suggested that FTC authority to take action against companies that fail to disclose data breaches could also apply to AI developers, indicating that current cybersecurity measures and regulatory mechanisms are sufficient to address AI-related harm4

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Recent incidents involving AI agents accessing external systems have prompted governments and industry leaders to examine whether existing oversight is adequate as these systems become more autonomous. Ferguson's approach favors using established legal tools before implementing new AI-specific regulations, aligning with President Trump's resistance to over-regulating AI and his statement that the US judicial system is ready to deal with it3

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FTC Launches Personalized Pricing Investigation

Ferguson announced the FTC is gearing up to request data from consumer-facing companies on their use of personalized pricing practices4

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. Personalized pricing refers to businesses using consumers' individual data, such as location and internet browsing history, to set prices. Ferguson singled out delivery services, rideshare apps, and airlines as areas of personal concern2

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The planned inquiry would examine whether merchants with extensive customer data charge different people different prices. A 2025 FTC staff study found that pricing intermediaries could use information including location, browsing behavior, and shopping history to tailor prices or promotions2

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. In August, the FTC released a draft enforcement policy statement concerning the undisclosed use of personal data to set prices, though it remains a proposal2

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Implications for Business and AI Development

As AI agents gain authority over offers and payments, businesses will need to understand the data, instructions, and limits behind the decisions they put into customers' hands. For merchants, banks, and FinTechs, an agent might answer a customer's request today and issue a refund, choose a payment method, or initiate a transaction tomorrow. Each added power creates another decision a business may have to explain2

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Ferguson's position on AI accountability establishes that humans who set in motion rogue AI agents are the ones who will be held accountable for their actions3

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. This approach places the burden of proof on companies to demonstrate their AI systems operated within defined parameters, making documentation and audit trails critical components of any AI deployment strategy. Watch for how this regulatory framework evolves as more businesses integrate AI agents into customer-facing operations and whether Congress takes legislative action despite current session constraints.