HB4640, titled the Stop AI Price Gouging and Wage Fixing Act of 2025, would prohibit the use of “surveillance-based price setting” and “surveillance-based wage setting.” In practice, the bill bars businesses from using automated decision systems, including AI and machine-learning tools, to set individualized prices for goods or services based on surveillance data, and it bars employers or other persons from using such systems to set or influence a worker’s compensation based on personal information or surveillance data. The bill defines these terms broadly, covering data tied to personal, genetic, behavioral, and biometric information, and it also reaches information gathered, purchased, or otherwise acquired.
The bill creates limited exceptions for certain pricing practices, including discounts based solely on reasonable cost differences, publicly disclosed group discounts for categories such as teachers, veterans, senior citizens, or students, and loyalty or rewards programs that consumers affirmatively join. It also requires covered entities to publish procedures in advance, including methods to ensure data accuracy, allow consumers or workers to challenge data, and disclose what data is used and how it affects pricing or wages. For wage-setting, the bill allows automated systems only if they use data limited to the city or state of work and local cost of living.
HB4640 would be enforced primarily by the Federal Trade Commission for pricing practices and by the Equal Employment Opportunity Commission for wage-setting practices, with additional enforcement authority for state attorneys general and private plaintiffs. It treats violations as unfair or deceptive acts or practices and unfair methods of competition under the FTC Act, authorizes civil actions, provides for damages, restitution, penalties, attorney’s fees, and injunctive relief, and limits the enforceability of pre-dispute arbitration agreements and class-action waivers in covered disputes. The bill also includes a five-year limitations period and expressly preserves stronger state protections and collective bargaining rights.
The general sentiment reflected by the bill’s introduction is strongly protective of consumers and workers, with the sponsors framing the measure as a response to AI-driven price discrimination and wage suppression. Because there are no committee transcripts or recorded votes available, there is no documented floor or committee sentiment in the provided materials beyond the bill’s pro-regulatory purpose and its referral to committee.
The main points of contention likely center on the breadth of the prohibitions and definitions, especially the bill’s expansive treatment of surveillance data, personal information, and automated decision systems. Supporters are likely to emphasize transparency, fairness, and limits on algorithmic discrimination, while potential critics may argue that the bill could restrict legitimate dynamic pricing, loyalty programs, operational efficiency, and employer compensation tools, and could create compliance and litigation burdens for businesses and platforms.
The bill would add a new federal consumer- and worker-protection regime governing algorithmic pricing and pay-setting. It would not broadly preempt state law; instead, it preserves state laws that provide equal or greater protection and only displaces state law to the extent of a direct conflict. It also preserves collective bargaining rights and allows labor agreements to negotiate stronger protections. In effect, the bill would create new federal standards, enforcement mechanisms, and private rights of action affecting retailers, service providers, employers, gig-work platforms, common carriers, and nonprofits that use automated systems to set prices or wages.
The bill’s overall tone is strongly reform-oriented and skeptical of AI-driven individualized pricing and compensation. The sponsors’ framing suggests support for consumer fairness, worker pay transparency, and limits on surveillance-based discrimination. No committee discussion or vote history was provided, so there is no recorded opposition or bipartisan support in the available materials; however, the structure of the bill suggests it is intended to appeal to advocates of privacy, labor rights, and consumer protection.
The most notable likely disputes involve whether the bill goes too far in banning individualized pricing and wage-setting tools, and whether its definitions are too broad. Businesses may object to the limits on dynamic pricing, targeted discounts, loyalty programs, and algorithmic compensation systems, as well as the disclosure, data-correction, and litigation provisions. Labor and consumer advocates are likely to support the bill’s restrictions, especially the ban on surveillance-based wage setting and the private right of action. Another likely point of contention is the bill’s interaction with arbitration agreements, class-action waivers, and existing state laws, though the bill expressly preserves stronger state protections and collective bargaining rights.