The food industry was scamming everyone first. pic.twitter.com/2ro3njk2r4
— Julie Minds (@JoulesMinds) August 6, 2026
Surveillance Pricing and Dynamic Pricing legal overview
- New Jersey on July 23, 2026, became the third state, following Maryland and Connecticut, to enact a law banning “surveillance pricing” for groceries, with penalties of up to $50,000 per violation, treble damages and a private right of action.
- Federal and state enforcement is accelerating on parallel tracks. The Federal Trade Commission’s Advance Notice of Proposed Rulemaking in April 2026 addresses personalized pricing disclosure, the Robinson-Patman Act has reemerged with active cases, and state attorneys general are moving faster than federal regulators by relying on existing Unfair or Deceptive Acts or Practices authority.
- More than 40 surveillance pricing bills are pending in over two dozen states, and 28 digital shelf label bills are pending in 16 states, creating a rapidly expanding and fragmented compliance landscape for companies with multistate operations.
- For general counsels at companies that use variable pricing, loyalty programs, algorithmic revenue management or delivery fee structures, the time to build compliance infrastructure is now, before a regulatory inquiry letter arrives.
Senate Holds First AI Pricing Hearing
Four states have enacted laws banning the practice of charging individual consumers different prices based on their personal data — and on Tuesday, Congress held its first dedicated hearing on the subject, with senators from both parties calling it one of the worst consumer scams in American history. But the most alarming testimony at the August 4 Senate Judiciary subcommittee session wasn’t about what surveillance pricing algorithms are already doing to shoppers. It was about what comes next: AI agents with real-time access to your emotional state, your desperation, and the urgency of your purchase — and no federal law on the horizon that specifically covers them.
AI Has Already Reinvented the Ripoff
Surveillance pricing is not hypothetical. Target’s app raises prices when it detects a customer is physically inside the store. DoorDash has developed technology that adjusts recommendations based on how hungry it estimates a user to be. Travel sites like Expedia have charged users from high-cost cities more for identical hotel rooms. And Kroger’s loyalty program uses customer shopping data to infer household income.
A January 2025 FTC surveillance pricing study confirmed that at least 250 retail clients were using third-party pricing intermediaries — companies hired specifically to track consumer behavior and set individualized prices. Those intermediaries catalog mouse movements on webpages, the contents of abandoned shopping carts, real-time location data, and demographic inferences. Their outputs: a per-customer price, calculated to extract the maximum that person will pay before walking away.