Privacy GuideJune 4, 20268 min read

How to Protect Your Privacy From AI-Powered Price Discrimination

SC

By Sarah Chen

Head of Privacy Research

How to Protect Your Privacy From AI-Powered Price Discrimination

Have you ever noticed that the same product costs more when you search for it on your phone versus your laptop? Or that flight prices seem to jump after you've searched for them a few times? Welcome to the world of AI-powered price discrimination — also known as "surveillance pricing" — where companies use your personal data to charge you the maximum amount they think you'll pay.

What Is Surveillance Pricing?

Surveillance pricing is the practice of using AI algorithms and personal data to set individualized prices for consumers. Instead of everyone seeing the same price for a product or service, companies analyze data about you — your location, browsing history, device type, purchase history, income estimates, and even your emotional state — to calculate a personalized price designed to extract the most money from you.

This isn't hypothetical. In 2026, more than 40 bills across at least 24 U.S. states have been introduced to regulate personalized algorithmic pricing. Maryland became the first state to sign an aggressive surveillance pricing law into effect (House Bill 895, effective October 1, 2026), restricting the use of personalized pricing in food retail and delivery.

The Scale of the Problem

A Consumer Reports investigation revealed the widespread scale of AI-driven surveillance pricing across online retail. A Morning Consult survey found that 59% of U.S. adults consider AI-powered price manipulation a "major concern," and a majority said it would be unacceptable for AI to set prices based on personal data including demographics.

How Companies Use Your Data to Set Prices

AI pricing algorithms can consider hundreds of data points about you, many of which come from data brokers:

  • Location data: Your ZIP code, city, and even neighborhood can influence pricing. Wealthier areas may see higher prices for the same products.
  • Device and browser: Studies have shown that Apple device users are sometimes shown higher prices than Android users, based on the assumption that Apple users have more disposable income.
  • Browsing history: If you've been researching a product extensively, algorithms may detect urgency and raise the price.
  • Purchase history: Your past spending patterns help algorithms predict your willingness to pay.
  • Data broker profiles: Companies purchase detailed consumer profiles from data brokers like Acxiom, Epsilon, and Lotame that include estimated income, household composition, and lifestyle data.
  • Time of day and demand patterns: Dynamic pricing algorithms adjust prices in real time based on demand signals.
  • Social media activity: Some algorithms analyze social media behavior to infer spending habits and brand loyalty.

Real-World Examples of Price Discrimination

Travel and Airlines

The travel industry has used dynamic pricing for years. Flight prices can vary based on your search history, location, the device you're using, and how many times you've searched for the same route. Hotel booking sites have been caught showing different prices based on whether you're logged in or browsing anonymously.

E-Commerce and Retail

Online retailers adjust prices hundreds of times per day using AI. Some have been caught charging customers in higher-income ZIP codes more for identical products. Grocery delivery apps have faced scrutiny for applying markups that vary by neighborhood.

Insurance

Insurance companies increasingly use data broker profiles, credit scores, social media analysis, and even telematics data to set individualized premiums — a practice regulators are beginning to challenge.

How to Protect Yourself From Surveillance Pricing

1. Block Tracking and Fingerprinting

  • Use a privacy-focused browser like Firefox or Brave with strict tracking protection enabled
  • Install uBlock Origin or Privacy Badger to block ad trackers
  • Enable Firefox's "Enhanced Tracking Protection" set to Strict mode
  • Disable JavaScript fingerprinting with extensions like Canvas Blocker

2. Use a VPN

A VPN masks your IP address and location, preventing websites from using your geographic location to adjust prices. When comparison shopping, try connecting through different VPN servers to see if prices change.

3. Browse in Private or Incognito Mode

Private browsing prevents websites from using stored cookies and browsing history to inflate prices. Always comparison-shop in a fresh private window.

4. Use Different Devices and Browsers

Compare prices across your phone, laptop, and tablet. Try different browsers. If a site shows you a higher price on one device, you may find a better deal on another.

5. Clear Cookies Before Shopping

Persistent cookies allow retailers to track your browsing sessions and detect repeat visits. Clear your cookies before making major purchases, or use a browser extension that automatically clears cookies when you leave a site.

6. Remove Your Data From Data Brokers

Many surveillance pricing algorithms rely on data broker profiles to estimate your income, spending habits, and willingness to pay. By removing your data from brokers, you reduce the information available to these algorithms.

Cut Off the Data Supply

PrivacyOn removes your personal information from over 100 data broker sites — including the advertising and marketing data brokers that feed surveillance pricing algorithms. By reducing the personal data available about you, you make it harder for companies to profile you and charge you inflated prices. Plans start at $8.33/month.

7. Opt Out of Targeted Advertising

Visit the Digital Advertising Alliance's opt-out page, the Network Advertising Initiative's opt-out tool, and individual platforms' ad preference settings to limit the data collected about you for advertising and pricing purposes.

8. Use Price Comparison Tools

Browser extensions like CamelCamelCamel (for Amazon), Honey, or Google Shopping can help you verify whether you're getting a fair price by showing price history and comparisons across retailers.

Your Rights Under New Laws

The legislative landscape is shifting in consumers' favor. Maryland's surveillance pricing law (effective October 2026) restricts personalized pricing in food retail. Other states are introducing similar bills. The FTC has also made algorithmic pricing a 2026 enforcement priority, conducting coordinated reviews of AI pricing practices.

If you believe you've been a victim of discriminatory pricing, you can:

  • File a complaint with your state attorney general
  • Report the practice to the FTC
  • Document the price discrepancies with screenshots from different devices and browsers

The Bottom Line

AI-powered price discrimination is one of the most insidious uses of personal data because it's invisible. You never know if you're paying more than someone else for the same product. By limiting the data available about you — blocking trackers, using VPNs, and removing your information from data brokers — you can level the playing field and protect your wallet.

SC
Sarah Chen

Head of Privacy Research

CIPP/US CertifiedIAPP MemberB.S. Computer Science

CIPP/US-certified privacy researcher with over a decade of experience helping consumers remove their personal information from data brokers.

Ready to Protect Your Privacy?

Let PrivacyOn automatically remove your personal information from data broker sites and keep it removed.