The Federal Trade Commission (FTC) is testing the boundaries of its AI governance authority through a proposed Enforcement Policy Statement Regarding Personalized Pricing. Released on August 19, 2026, the policy signals a shift in the agency’s focus from traditional deceptive practices toward the mechanics of algorithmic pricing. As the FTC reviews comments submitted by the September 25 deadline, the Washington Legal Foundation (WLF) has emerged as a primary critic, arguing that the agency’s approach risks overstepping constitutional limits.
This friction over algorithmic oversight aligns with broader trends in agency enforcement, algorithmic accountability, and the evolving administrative law limits. The core of the dispute involves the FTC’s requirement for clear and conspicuous disclosures when personal data informs pricing models. In a September 22 submission, the WLF urged the agency to withdraw the statement, characterizing the disclosure mandate as compelled speech that infringes upon First Amendment protections for businesses.
Beyond the First Amendment, the WLF has raised due process concerns regarding the agency’s procedural choices. The foundation contends that the FTC is effectively refining the law through aggressive litigation and enforcement actions—a practice often termed regulation-by-litigation—rather than utilizing the formal notice-and-comment rulemaking process. Zac Morgan, WLF Senior Litigation Counsel, noted: “Individualized pricing helps markets clear efficiently and increases consumer bargaining power. It shouldn’t be discouraged through unfounded regulation-by-litigation.” This argument challenges the agency’s procedural authority, suggesting that the current approach may be vulnerable to judicial scrutiny if finalized.
The operational stakes are significant. The FTC’s policy targets the undisclosed use of personal data for algorithmic or individualized pricing, citing practices in sectors such as food delivery, grocery, hotels, and retail. However, the agency has explicitly acknowledged that it lacks the authority to ban personalized pricing in all circumstances and has declined to take a definitive position on whether such practices are inherently unfair when fully disclosed. This ambiguity has drawn criticism from industry groups, including the NACS, which requested a 60-day extension to the comment period, citing the broad operational and legal implications of the proposed requirements.
The tension between the FTC’s enforcement agenda and industry resistance highlights a critical juncture for data-driven commerce. The agency’s Section 5 authority—which tests for practices that are material, likely to mislead, and to a consumer’s detriment, or which cause substantial injury that is not reasonably avoidable—is being applied to the complexities of modern pricing models. If courts ultimately uphold the WLF’s arguments, it could constrain the FTC’s ability to use enforcement statements as a primary tool for regulating AI, potentially forcing the agency to seek explicit Congressional mandates for future oversight.
Conversely, a successful defense of the policy could embolden the FTC to expand its oversight of algorithmic decision-making across other sectors. Such an outcome would likely influence state-level AI pricing laws and accelerate federal regulatory momentum. For now, the agency remains in a period of review, with stakeholders monitoring the final policy release for potential concessions on disclosure requirements. The prospect of a protracted legal battle remains high, as the industry prepares to challenge the scope of the FTC’s authority in the AI era.