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AI Pricing Algorithms

Written by Joseph Lyon on . Posted in AI, Class Action, Product & Consumer Safety News.

AI pricing algorithms are reshaping markets across the economy, but they also risk undermining competition and inflating consumer costs. In some cases, AI price-fixing can be deemed illegal and in violation of antitrust law. When algorithms function like a digital cartel, consumers are not powerless. Class action lawsuits allow individuals to seek damages, uncover how pricing systems work, and force accountability on corporations that misuse technology.

The growing wave of litigation—from rental housing to e-commerce—signals a turning point. Courts and regulators are beginning to recognize that algorithmic collusion can be just as harmful as traditional price-fixing. For consumers, this means greater protection and more opportunities to hold corporations accountable in the era of artificial intelligence. Contact an experienced consumer protection lawyer to discuss your potential class action antitrust case. 

Were You Overcharged Because of an AI Pricing Algorithm?

Across the country, companies are using artificial intelligence to coordinate prices in ways that eliminate real competition. Renters are paying more than the market would otherwise demand. Consumers are overpaying for hotel rooms, airline tickets, and online goods. In some cases, these practices may violate federal antitrust law, and consumers may be entitled to damages.

The Lyon Firm represents individuals and families harmed by anticompetitive business practices, including algorithmic price-fixing schemes. Contact us today for a free and confidential consultation.

What Is an AI Pricing Algorithm and Why Is It a Legal Problem?

AI pricing algorithms are software systems that use machine learning and real-time data to automatically set or recommend prices. Companies use them to maximize revenue by adjusting prices based on competitor activity, demand signals, occupancy rates, and other market inputs.

The legal problem arises when competing companies share their own sensitive pricing data with the same third-party algorithm provider, effectively allowing that provider to act as a hub that coordinates pricing across multiple competitors. The result mimics what an old-fashioned price-fixing cartel would produce, which is higher prices for consumers, without requiring executives to ever pick up the phone and agree on anything.

This arrangement is known as hub-and-spoke coordination, and courts and the Department of Justice have made clear that it can violate the Sherman Act even when the coordination happens through software rather than through direct human communication.

The RealPage Case: The Biggest AI Antitrust Lawsuit in U.S. History

The most significant AI pricing antitrust case to date involved RealPage, a Texas-based software company that provided revenue management tools to hundreds of apartment landlords nationwide. RealPage’s platform collected real-time lease and pricing data from competing landlords and used that data to generate pricing recommendations that, the government alleged, drove rents higher across entire markets.

The Department of Justice filed an antitrust lawsuit against RealPage in 2024. In November 2025, the DOJ reached a proposed settlement in which RealPage agreed to stop using competitors’ nonpublic data in its algorithm and accepted a court-appointed compliance monitor for three years. Separately, major landlords including Greystar settled with the DOJ, with Greystar agreeing to pay $7 million in one state settlement alone.

Critically, the private class action lawsuits filed by renters remain active and unresolved. Consolidated in federal court in Tennessee as In Re: RealPage, Inc., Rental Software Antitrust Litigation, these cases are still moving through litigation on behalf of tenants who allege they paid inflated rents because of the algorithmic coordination. A government settlement does not resolve or foreclose those private damages claims.

If you rented an apartment between approximately 2016 and 2024 in a major metro area and believe your landlord used RealPage software, you may have a claim and should speak with an antitrust attorney.

Other Industries Using AI Pricing Algorithms

RealPage was the first major case, but it is not the only industry under scrutiny. AI-driven pricing coordination is under investigation or active litigation in several sectors:

  • Airlines. Dynamic pricing algorithms coordinate fares across carriers and have drawn scrutiny from the DOJ and international competition authorities.
  • Hotels. Revenue management software similar to RealPage operates across the hospitality industry, sharing occupancy and rate data in ways that regulators are examining.
  • E-commerce. Automated repricing bots on major platforms interact with each other in ways that can suppress price competition between third-party sellers.
  • Grocery and consumer goods. Surveillance pricing tools track consumer behavior and adjust prices in real time, raising questions about whether the data inputs involved create antitrust exposure.

New York enacted legislation in December 2025 making algorithmic rent-setting potentially actionable under the state’s Donnelly Act antitrust statute. California enacted amendments to its Cartwright Act to broadly regulate common pricing algorithms. These state laws significantly expand the legal landscape for consumers who were overcharged.

What Consumers Can Recover in an AI Price-Fixing Class Action

Federal antitrust law is powerful. Under the Sherman Act and Clayton Act, consumers who prove they were overcharged through anticompetitive pricing practices can recover treble damages, which means three times the amount of the overcharge. Additional remedies include:

  • Restitution and disgorgement of wrongful profits
  • Injunctive relief requiring companies to stop using the offending algorithm
  • Attorneys’ fees and litigation costs

Class action treatment is particularly well suited to AI pricing cases because the same algorithm affected thousands or millions of consumers in the same way during the same period. That commonality allows individual claims that might otherwise be too small to litigate on their own to be combined into a single powerful action.

What You Need to Know to File a Claim

To have a viable AI pricing antitrust claim, you generally need to show:

  • You paid a price for a product or service
  • The price was set or influenced by an algorithm that used competitors’ nonpublic data
  • The algorithmic coordination suppressed competition and resulted in inflated prices
  • You suffered financial harm as a result

You do not need to prove that company executives personally agreed to fix prices. Courts are increasingly recognizing that liability can arise from the design and use of the algorithm itself, even without direct human coordination.

Why Hire The Lyon Firm for an AI Price-Fixing Case

The Lyon Firm has represented thousands of clients in class action and consumer protection cases against some of the largest corporations in the country. Attorney Joseph Lyon has been appointed lead class counsel in both state and federal consumer class actions and has secured significant recoveries for individuals harmed by corporate misconduct.

AI pricing antitrust cases require attorneys who understand complex economics, class certification strategy, and the intersection of technology and competition law. The Lyon Firm has the experience and the resources to investigate these cases, retain leading economic experts, and take on well-funded defendants.

We handle these cases on contingency. You pay no fees or costs unless we recover compensation on your behalf. The Lyon Firm represents clients in Ohio, California, New York, Illinois, Tennessee, and all fifty states. Contact us today for a free consultation.

Frequently Asked Questions

What is hub-and-spoke price-fixing? Hub-and-spoke price-fixing occurs when competing companies each share pricing data with a common third-party platform, which then uses that data to coordinate prices across all participants. Even without a direct agreement between the competitors, courts can find antitrust liability if the effect is to suppress competition.

Can renters sue over RealPage? The private class action against RealPage and landlords who used its software is still active in federal court. If you rented an apartment in a city where RealPage was used between roughly 2016 and 2024, you may be eligible to participate. Contact an attorney to evaluate your specific situation.

What are treble damages in antitrust cases? Treble damages means a court awards three times the actual overcharge. If you paid $200 per month more than the competitive market price because of an anticompetitive algorithm, treble damages could result in a recovery of $600 per month for every month of the affected tenancy.

Does a government settlement with RealPage end my private lawsuit? No. The DOJ’s settlement with RealPage governs the government’s claims only. Private class action lawsuits seeking damages on behalf of individual renters are separate and remain active.