Congress moves to ban algorithmic price-fixing—but enforcement gaps remain
S. 232 — Preventing Algorithmic Collusion Act of 2025 · Filed by Amy Klobuchar (D-MN) · 8 cosponsors · Introduced Jan 23, 2025 · Referred to committee
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What it does
This bill prohibits companies from using pricing algorithms that rely on nonpublic competitor data to set prices, aiming to prevent algorithmic collusion. It gives the FTC and Department of Justice audit powers to demand reports on pricing algorithms within 30 days, and allows violations to be prosecuted under existing antitrust law (Sherman Act and FTC Act).
Why we flagged it
The bill's core mechanism is a prohibition on algorithmic pricing using competitor data, paired with audit and reporting requirements for the FTC and DOJ. It is fundamentally an antitrust enforcement measure, not a technology regulation or industry subsidy.
What the text implies
- The definition of 'nonpublic competitor data' excludes narrative reports and generalized surveys, creating a potential loophole: companies may argue that aggregated or anonymized competitor pricing falls outside the prohibition if presented as 'generalized industry survey results.'
- The 30-day audit reporting requirement may impose significant compliance costs on smaller firms using third-party pricing algorithms, potentially concentrating market power among larger companies with in-house compliance infrastructure.
The full analysis lists 4 implications of this text.
Who it affects
The bill directly restricts anticompetitive pricing practices that harm consumers through higher prices and reduced competition. It increases transparency and enforcement tools for antitrust authorities without creating new private liability or limiting consumer remedies.