FTC proposes disclosure rules for algorithmic pricing

The Federal Trade Commission voted 2-0 on August 19, 2026, to advance a proposed enforcement policy statement on personalized pricing, signaling a major regulatory shift toward transparency in algorithmic pricing Reuters. The policy, now open for 30 days of public comment, would require businesses to "clearly and conspicuously disclose" when they engage in personalized pricing and identify the types of data used to set those prices AP via Yahoo Finance.

Legal Theory and Scope

The FTC's legal foundation rests on Section 5 of the FTC Act, which bars unfair or deceptive acts or practices. The Commission determined that undisclosed use of personal data to set prices likely violates this standard Reuters. The proposal targets the growing practice of dynamic, consumer-specific pricing enabled by AI and machine learning systems that analyze behavioral data, purchase history, location, device type, and demographic information in real time.

Unlike enforcement actions against individual companies, this enforcement policy statement creates forward-looking guidance for the entire retail and e-commerce sector. The rule would apply to any business using algorithmic systems to determine prices on a per-customer basis—a practice increasingly common among online retailers, airlines, and travel platforms.

What Disclosure Must Include

The proposed policy requires two core elements: notification that personalized pricing is occurring, and transparent identification of the data categories driving those price differences. Businesses could not bury disclosure in terms of service or privacy policies; the FTC language emphasizes that notices must be prominent and accessible at or before the point of sale AP via Yahoo Finance.

This represents a shift from the FTC's historical approach of case-by-case litigation toward prescriptive rule-making on algorithmic transparency. The 30-day comment period will inform whether the FTC pursues this as a formal rule or refines enforcement priorities based on industry feedback.

Timing and Broader Context

The FTC action arrives amid growing scrutiny of algorithmic pricing across state legislatures and Congress. Several states have introduced bills restricting price discrimination powered by AI, and consumer advocacy groups have flagged personalized pricing as a hidden tax on vulnerable populations. The FTC's move signals that federal enforcement will likely accelerate if public comment supports the proposal, creating potential compliance obligations for thousands of businesses within months.