Former FTC chief Khan urges handcuffs for AI CEOs, citing 1934 precedent
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| Source: HN | Original article
Former FTC chair Khan urges regulators to clamp down on AI CEOs, invoking a 1934 antitrust precedent.
Former FTC chair Lina Khan has taken to X to argue that U.S. regulators already have the tools needed to hold artificial‑intelligence firms and their top executives criminally accountable. Citing the 1934 Supreme Court decision in *FTC v. R.F. Keppel & Bro.*, Khan said the case outlawed “race‑to‑the‑bottom” practices and provides a precedent for treating risky AI development as unfair competition under existing consumer‑protection statutes. She urged “Uncle Sam to break out the handcuffs” for AI CEOs, insisting that new legislation is unnecessary.
The remarks arrive amid a growing chorus of safety concerns surrounding frontier AI models. As we reported on 15 September, industry leaders and policymakers have been debating whether a coordinated slowdown is needed to curb risky development. Khan’s call shifts the focus from voluntary restraint to potential legal enforcement, suggesting that regulators could pursue both companies and their chief officers for practices that jeopardise competition or consumer welfare.
If authorities act on Khan’s interpretation, AI labs could face civil penalties, injunctions, or even criminal charges, a prospect that may reshape boardroom calculus and accelerate compliance efforts. Companies are likely to monitor any FTC or Department of Justice moves closely, while lawmakers may be prompted to revisit the adequacy of existing statutes.
Watch for formal statements from the FTC, possible filings against specific AI firms, and reactions from industry groups. Congressional hearings on AI oversight could also gain momentum if the agency signals an intent to pursue the “handcuff” approach Khan outlined. The next few weeks will reveal whether the 1934 precedent will become a practical lever in the emerging AI regulatory landscape.
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