McDonald's has been hit with a proposed nationwide class action accusing the fast-food giant of using an AI-powered pricing system to quietly coordinate menu prices across its nearly 14,000 U.S. restaurants — leaving millions of customers paying more for Big Macs and Quarter Pounders than they otherwise would have.
The complaint was filed Friday in the U.S. District Court for the Northern District of Illinois. Plaintiff Michael Thomas, an Illinois resident, seeks to represent a class of potentially millions of McDonald's customers nationwide who say they overpaid because of the alleged coordination. The suit accuses McDonald's of violating Section 1 of the Sherman Antitrust Act: independently operated franchisees are supposed to set prices on their own, but the company allegedly lashed them into a single pricing web run by algorithms.
At the heart of the complaint is the claim that McDonald's has enforced what it calls a "coercive price-fixing agreement" on franchisees since at least 2019. The machine-learning pricing engine, the suit says, continually analyzes millions of daily transactions across the restaurant network and uses that nonpublic sales data to generate price recommendations for individual menu items at individual locations. The system can weigh local conditions — including how much customers in a given area may be willing to pay — and can even produce different recommendations for two nearby restaurants selling the same food. "Independent businesses must set their prices independently," the complaint states. Lark Turner, a lawyer for the plaintiff, said McDonald's is "leveraging its troves of data and its franchised system to nickel-and-dime consumers down to the last French fry."
McDonald's on Monday called the allegations "speculative and uninformed." "AI does not set the price of a Big Mac or any other menu item," the company said in a statement, adding that it imposes no pricing mandates, that franchisees make their own pricing decisions, and that pricing recommendation tools and analytics are widespread across industries.
Notably, the lawsuit builds on Reuters reporting from last week, which found that McDonald's pricing engine uses machine-learning algorithms to continually analyze data from millions of daily transactions across its nearly 14,000 restaurants — and that other fast-food companies are also turning to AI for pricing and operations. The plaintiff's theory: when one company feeds the nonpublic transaction data of all its franchisees into a single algorithm and pushes the resulting price suggestions back out to every store, that stops being "advice" and becomes the kind of horizontal price coordination the law forbids.
This is far from the first algorithmic-pricing antitrust case. U.S. plaintiffs' lawyers have filed a wave of class actions in recent years alleging companies used algorithms or AI to illegally coordinate prices for hotel rooms, apartment rentals, and other purchases — most prominently the sprawling litigation over the rental-pricing software RealPage. The McDonald's case is different in one respect: it brings the fight to the fast-food counter, a consumer setting that touches tens of millions of people a day.
The case's first test will be class certification: the court must decide whether Thomas can speak for millions of customers, and whether adopting the same AI recommendations amounts to an "agreement" in the legal sense. Antitrust lawyers note that Section 1 of the Sherman Act requires proof of concerted action — and whether "each independently following the same AI's advice" counts as concerted action is the hardest legal question these cases pose. Whatever the outcome, the suit could set the first real judicial benchmark for AI pricing tools across America's chain restaurants.