Can AI Charge You More Than Other Shoppers? U.S. Surveillance Pricing Laws Explained

Imagine two people shopping for exactly the same product from the same retailer at almost the same time.

One sees a price of $49.99.

The other sees $59.99.

What if the difference is not because of a sale, inventory shortage, or shipping cost—but because an algorithm has analyzed information about the shopper?

That emerging practice is commonly called surveillance pricing or personalized pricing.

The issue has rapidly become a major U.S. consumer-protection and privacy debate. Businesses can increasingly collect information about consumers' browsing behavior, location, shopping history, household characteristics, and other data. Artificial intelligence and machine-learning systems can then analyze that information to estimate what a particular consumer may be willing to pay.

Federal and state regulators are now asking a difficult legal question:

Can a company legally use your personal data to decide how much you should pay?

The answer is more complicated than simply saying "yes" or "no."

What Is Surveillance Pricing?

Surveillance pricing is a form of algorithmic pricing in which a seller uses personal information about a consumer to determine or influence the price offered to that person.

The information may include browsing history, location, shopping behavior, household information, or other data that can help a company estimate a person's willingness to pay.

The legal concept is broader than ordinary dynamic pricing.

For example, an airline changing prices because demand suddenly increases is not necessarily surveillance pricing.

Likewise, a retailer offering everyone a publicly advertised student discount is different from secretly analyzing an individual shopper's personal information and charging that person a different amount.

The concern arises when the price is individualized using personal information in a way the consumer may not reasonably expect.

Why Is AI Making This Issue More Important?

Artificial intelligence makes it much easier to analyze enormous amounts of consumer information.

A company may have access to data generated through websites, mobile applications, loyalty programs, advertising systems, purchase histories, and third-party data intermediaries.

AI systems can process these signals at a scale that would be difficult for humans to manage manually.

This creates a new privacy problem.

Your personal information may have economic value even when you are not directly selling it.

A company could potentially use information about you not merely to decide what advertisement you see, but to decide what price you see.

What Is the FTC Doing About Personalized Pricing?

The Federal Trade Commission has taken a growing interest in personalized pricing.

In August 2026, the FTC announced that it was seeking public comment on a proposed enforcement policy concerning personalized pricing.

The agency's proposal focuses on situations in which businesses use personal data to estimate what an individual consumer may be willing to pay.

However, an important distinction must be made.

The FTC did not announce a blanket federal ban on personalized pricing.

Instead, the proposed policy focuses on situations where businesses may mislead consumers about the use of personal information in pricing or engage in conduct that could violate laws enforced by the FTC.

The FTC has also acknowledged that it does not have authority to prohibit personalized pricing in every circumstance.

That means the legal status of personalized pricing depends heavily on the facts and the laws that apply.

Could Hidden Personalized Pricing Violate the FTC Act?

Potentially, yes.

Section 5 of the FTC Act prohibits unfair or deceptive acts or practices.

The FTC's approach places significant importance on transparency.

Suppose a consumer sees what appears to be a normal listed price.

If the company is actually using the consumer's personal information to calculate an individualized price, and that fact is hidden or presented misleadingly, the practice could create legal problems.

But consumers should not assume that every individualized price is automatically unlawful.

The legality may depend on what information was used, how it was collected, what the company told consumers, how the pricing system operated, and which laws apply.

What Information Could Be Used?

Surveillance-pricing systems can potentially use many different categories of information.

These may include:

• Browsing behavior

• Purchase history

• Location

• Household information

• Demographic information

• Online activity

• Shopping frequency

• Search behavior

• Information obtained through data intermediaries

The FTC has been examining the broader ecosystem behind these technologies, including the collection and use of consumer information for personalized pricing.

The concern becomes especially significant when consumers do not understand that their information may influence the price they receive.

Is Dynamic Pricing the Same as Surveillance Pricing?

No.

This distinction is extremely important.

Dynamic pricing generally means prices change because market conditions change.

For example, a hotel may charge more during a major event because demand has increased.

Surveillance pricing is different when personal information about an individual consumer is used to determine what that specific person should pay.

The two concepts can overlap, but they are not legally identical.

A price changing because thousands of people are booking the same hotel is different from a system analyzing one person's behavior and determining that the person is likely willing to pay more.

What Is California Doing?

California has become one of the most important states in the surveillance-pricing debate.

California officials have been examining how businesses use consumers' personal information to establish individualized prices.

The state's privacy laws can become relevant when businesses collect and use personal information in ways that may conflict with consumers' expectations.

California lawmakers have also considered legislation specifically addressing surveillance pricing.

The proposed legislation would place restrictions on certain uses of personal information to determine individualized prices while allowing certain legitimate discounts and pricing differences.

However, proposed legislation should not automatically be described as an enacted law.

The exact legal status of legislation can change as it moves through the legislative process.

What About New York?

New York has also taken action in this area.

New York lawmakers and officials have focused on legislation addressing surveillance pricing and the use of personal information to charge consumers different prices.

The underlying concern is similar: a consumer may not know that personal information such as browsing behavior, income-related information, or other data is being used to determine how much the consumer is asked to pay.

New York's approach demonstrates an important feature of U.S. privacy law.

States can create their own consumer-protection and privacy rules even when federal law does not provide one comprehensive nationwide prohibition.

Can a Company Charge You More Because of Your Location?

This is one of the most interesting questions in surveillance pricing.

Location data can reveal information about a consumer's neighborhood, travel patterns, and potentially other characteristics.

But geographic pricing itself is not automatically illegal.

Businesses may legitimately use location for shipping costs, taxes, regional promotions, and market conditions.

The legal issue becomes more complicated when a company secretly uses personal information to estimate an individual's willingness to pay and then charges that person a higher individualized price.

Can Companies Use Your Browsing History to Set Prices?

Potentially.

Imagine that you repeatedly visit a hotel website, search for the same room, and return several times without booking.

A company could potentially infer that you are highly interested in that particular room.

If an algorithm then uses that information to estimate that you are willing to pay more, the practice could raise surveillance-pricing concerns.

However, consumers should be careful about drawing conclusions from price changes alone.

Prices can change for many ordinary reasons, including supply, demand, inventory, promotions, and market conditions.

Seeing a higher price after repeatedly visiting a website does not by itself prove that the company used your browsing history to increase the price.

What About Loyalty Programs?

Loyalty programs create an especially complicated legal issue.

Retailers may collect detailed purchasing information when customers use loyalty accounts.

That information can help companies understand consumer preferences and provide targeted promotions.

A targeted discount is not necessarily unlawful.

For example, a clearly disclosed loyalty discount offered to qualifying customers can be very different from secretly using personal data to calculate a higher individualized price.

The legal distinction may therefore depend on transparency, eligibility rules, the information used, and how the pricing system operates.

Could Surveillance Pricing Be Discriminatory?

It can raise discrimination concerns, although privacy law and discrimination law are not the same thing.

If an algorithm uses personal information that correlates with protected characteristics, critics worry that individualized pricing could produce unequal economic outcomes.

At the same time, proving unlawful discrimination requires more than showing that two people paid different prices.

The applicable legal standard depends on the specific facts and the federal or state law involved.

This is one reason surveillance pricing has become an important intersection between privacy law, consumer protection, artificial intelligence, and civil-rights law.

Can Consumers Sue a Company for Personalized Pricing?

Possibly, but there is no single nationwide lawsuit available automatically to every consumer.

A potential legal claim could depend on:

• The state where the consumer lives

• Where the transaction occurred

• What personal information was collected

• How the information was obtained

• What the company disclosed

• Whether the consumer provided consent

• Which privacy or consumer-protection law applies

• Whether that particular law allows private lawsuits

Some laws primarily allow government enforcement, while others may give individuals a private right of action.

Therefore, discovering that two people paid different prices does not automatically mean that a consumer has a successful legal claim.

What Should Consumers Do?

Consumers who are concerned about personalized pricing can take practical steps to understand what is happening.

First, compare prices using different devices or accounts where appropriate.

Second, review privacy settings and understand what information you are sharing with retailers and apps.

Third, read privacy notices and terms concerning personalization.

Fourth, keep screenshots or records if you believe the same product was offered to different consumers at significantly different prices.

Fifth, check whether your state has specific privacy or consumer-protection laws addressing the practice.

Consumers can also use privacy tools such as private browsing, although these measures cannot guarantee that a company is unable to identify or use other information about them.

What Does This Mean for the Future of AI?

Surveillance pricing illustrates a much larger change in technology law.

For years, consumers mainly worried about companies collecting their information to show them advertisements.

Now the concern is increasingly economic:

What if the same data used to understand you can also be used to decide what you pay?

That question is likely to become more important as AI systems become better at predicting consumer behavior.

The United States currently does not have one comprehensive federal statute that simply bans all personalized pricing.

Instead, the legal landscape involves federal consumer-protection law, state privacy laws, consumer-protection statutes, emerging state legislation, and potentially future federal legislation.

The FTC's recent action is therefore significant because it signals increased federal scrutiny without creating a universal prohibition on personalized pricing.

Frequently Asked Questions

Can AI legally charge different people different prices?

Different prices are not automatically illegal. The legality depends on why the prices differ, what information is used, what consumers are told, and which laws apply.

Is surveillance pricing illegal in the United States?

There is no single nationwide federal ban covering every form of personalized pricing. Federal and state authorities are increasingly examining the practice, and some states have enacted or proposed restrictions.

Does the FTC's 2026 proposal ban personalized pricing?

No. The FTC's proposal does not create a blanket federal ban on personalized pricing. It focuses on potentially unfair or deceptive practices involving the use of personal data.

Can browsing history affect the price I see?

It potentially can be relevant to personalized pricing. However, a price change alone does not prove that a company used your browsing history to determine the price.

Does California ban surveillance pricing?

California officials and lawmakers are actively addressing the issue through investigations, privacy enforcement, and proposed legislation. The status of specific legislation should be checked because proposals can change during the legislative process.

Can I sue a company for charging me a personalized price?

Possibly, depending on the facts and the applicable law. A private lawsuit generally requires a specific legal basis, and not every privacy or consumer-protection law provides a private right of action.

Conclusion

AI-powered pricing is creating a new legal battleground between technology companies and consumers.

The central issue is not simply whether prices can change.

Prices have always changed.

The harder question is whether a company can secretly use your personal information to determine how much it thinks you personally are willing to pay.

Federal regulators and state governments are increasingly examining that question.

For consumers, transparency may become one of the most important principles in this developing area of law.

If your personal information is being used to influence the price you receive, you may reasonably want to know that.

As artificial intelligence becomes more sophisticated, the law will have to determine how far companies can go in using personal information to predict—and potentially influence—the price an individual consumer pays.

This area of law is still developing, so consumers and businesses should continue to monitor future regulatory actions, legislation, and court decisions.

Legal Disclaimer

This article is provided for general informational and educational purposes only and does not constitute legal advice. U.S. privacy, consumer protection, artificial intelligence, and pricing laws vary by state and may change over time. The information presented here should not be relied upon as a substitute for advice from a qualified attorney. For guidance regarding a specific legal situation, consult a licensed attorney familiar with the applicable law.