Wed Oct 15 08:25:31 UTC 2025: ## Are Retailers Using AI to Charge You More? “Surveillance Pricing” Raises Concerns

**[City, State] -** Imagine paying a different price for the same product than the person next to you, based on your personal data. This isn’t science fiction, but a growing trend called “surveillance pricing,” where retailers leverage AI and personal data to set individualized prices, potentially maximizing profits at the expense of consumers.

The issue gained traction after Delta Air Lines revealed it uses AI to determine a portion of its fares, sparking concerns about data-driven price hikes. US Senators have even sent a letter to Delta, expressing worry that individualized pricing could lead to consumers paying more based on their “pain point,” the maximum they’re willing to spend.

Surveillance pricing works by tracking consumer data through account registrations, online purchases, and web pixels that monitor browsing behavior, location, device information, and even mouse movements. This information feeds AI algorithms that assess a consumer’s willingness to pay and adjust prices accordingly.

Experts warn that retailers are increasingly able to “parse the population of potential customers into finer and finer subcategories – each matched with a different price,” potentially leading to personalized pricing. One troubling example suggests that ride-sharing apps may charge higher prices to users with low phone battery, knowing they’re more likely to accept surge pricing. While Uber denies using battery life for pricing, past statements from a former executive and independent testing suggest otherwise.

While these practices were known as “price discrimination” or “dynamic pricing” in the past, they are increasingly met with legislative challenges. This year alone, 51 bills across 24 US states have been introduced to regulate algorithmic pricing. The UK’s Digital Markets, Competition and Consumers Act (DMCCA) also allows for hefty fines for unfair or misleading consumer practices, including biased pricing.

Consumers are advised to protect their data by using private browsers, opting out of tracking, clearing cookies, and using VPNs. However, experts acknowledge that these measures may not be fully effective against sophisticated tracking methods like device fingerprinting. Advocacy groups urge consumers to demand greater transparency from retailers about their pricing practices and to utilize existing privacy settings. Public participation and regulatory legislation will continue to play an important role in reducing the risk of corporations using personal data for unfair pricing practices.

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