FTC Demands Data on Surveillance Pricing From Walmart, Uber, Delta

FTC Demands Data on Surveillance Pricing From Walmart, Uber, Delta

I was booking a flight when a thought hit me: what if the price on my screen was meant only for me? At the same moment, nine corporate inboxes filled with the same question from the Federal Trade Commission. The quiet promise of a single price is suddenly under a bright, stubborn light.

I’ll walk you through what the FTC wants, why gig workers and shoppers should pay attention, and how the companies named are responding. You’ll get the facts without the spin—so you can judge what this means for your wallet and your privacy.

Nine firms got a demand letter this week

Nine companies—including Walmart, Uber, Delta, Lyft, DoorDash, Instacart, Target, JetBlue, and United—received document requests from the FTC on Wednesday.

The agency is probing whether those companies use customers’ web histories, app behavior, or other personal data to set individualized prices, a practice some firms call personalized pricing and regulators call surveillance pricing. The letter gives each company 45 days to respond and asks for records that reveal how pricing models work and whether worker pay shifts with the same algorithms that set consumer prices.

What the FTC is asking for

The agency set a 45-day deadline and said it will examine both consumer impact and worker compensation.

FTC Chair Andrew N. Ferguson framed the inquiry bluntly: consumers deserve to know “whether companies use their web surfing habits or other personal data to estimate the highest price they can charge each consumer.” He added that workers deserve to know whether the same data tinkering affects how much they earn.

What is surveillance pricing?

Surveillance pricing is the practice of using personal data—browsing, purchase history, device signals—to estimate what an individual will pay and adjusting the price accordingly. The FTC is hunting for the code, testing logs, and memos that would prove or disprove that behavior.

Can companies legally charge different prices to different customers?

It depends. Dynamic pricing based on supply and demand is common and lawful. The FTC’s claim is narrower: if companies use personal data to raise one person’s price beyond a general demand-driven rate, regulators may consider that deceptive or discriminatory. The probe will test whether firms disclose these practices and whether they break existing consumer-protection rules.

Workers and shoppers are already feeling the squeeze

Rideshare and delivery drivers have posted screenshots and complaints alleging pay dips tied to algorithmic tests.

Activists point out how the same technology that guesses what you’ll pay can also guess how little a gig worker will accept. If an app can see which drivers will accept a $4 fare, it can push pay down until the platform extracts the last cent. That’s why the FTC’s inquiry explicitly asks for records about worker compensation.

How can I tell if I’m being charged a personalized price?

There’s no simple flag yet. Look for patterns: do prices shift if you clear cookies or use incognito mode? Do offers arrive only after an email opens? The FTC hopes its subpoenas will surface the internal logs and experiments that explain those shifts.

Companies that were named pushed back immediately

Delta, JetBlue, and Instacart sent firm denials; Target posted a public fact sheet; other firms have declined comment so far.

Delta told reporters it has “no fare product” that targets customers with individualized offers and said it complies with privacy and pricing laws. JetBlue said fares are set by demand and seat availability and all customers have access to the same fares. Instacart said it “does not and will not engage in surveillance pricing” and pledged to cooperate with regulators. Target directed reporters to a corporate fact sheet explaining its approach to pricing.

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Patents, AI, and language matter in the letter

Walmart and others have been linked to patents and experiments about dynamic digital pricing.

The FTC used the term super intelligence in its request, reflecting the agency’s and the administration’s preference for that phrase over the tech industry’s generic “AI.” The inquiry asks for models, training data, test results, and anything labeled as experimentation or pilot programs. Groundwork Collaborative’s Lindsay Owens—author of Gouged: The End of a Fair Price—and a witness for Sen. Josh Hawley—told reporters she backs the probe and highlighted patents that describe changing the price of a complementary item after you select another, evoking a grocery lane that flips tags at the register.

This is not just theory: some of the examples described in patents read like a slot machine for prices; others sketch a surveillance web that maps purchase intent to the highest comfortable price.

What regulators could do next

The FTC can use the records to open enforcement actions, propose new rules, or ask Congress to tighten laws.

If documents show undisclosed personalization that harms consumers or workers, expect complaints, fines, and public hearings. The agency already flagged in August that such practices *may* break the law, and this document request is a clear step toward testing that thesis in court or regulation.

I don’t promise answers overnight, but the papers the FTC demands will let you see the hidden experiments companies run on prices and pay. If you want to protect yourself, watch receipts, compare devices, and read privacy policies from platforms such as Google Analytics, Meta, AWS, and the apps you use daily.

So tell me: if prices are quietly tuned to extract the most from each of us, what should the rules be to stop it?