McDonald's faces a federal lawsuit filed in Chicago claiming the company operated an algorithmic pricing tool that used non-public sales and pricing data from independent franchise restaurants to help determine consumer prices. The plaintiff argues this could amount to algorithmic price-fixing and violate U.S. antitrust rules.
According to the complaint, McDonald's central system may have collected non-public pricing and sales metrics from franchise locations and generated recommendations that other restaurants could use. The suit highlights a potential “hub-and-spoke” arrangement, where competitors do not negotiate directly with each other but instead coordinate prices through a common intermediary — here alleged to be McDonald's central system.
McDonald's denies wrongdoing; says franchisees set prices
McDonald's has strongly denied the allegations. The company says it does not let artificial intelligence set restaurant prices; individual franchise owners remain responsible for pricing decisions. McDonald's asserts the tools it provides offer information and recommendations only, and do not automate, coordinate, or fix prices.
The legal dispute centers on the Sherman Antitrust Act's ban on agreements that unreasonably restrain trade; price-fixing among competitors is a particularly serious violation. The court will need to determine whether unlawful coordination occurred, how independent franchise pricing decisions were in practice, and what role any algorithm actually played in shaping prices.
The plaintiff's experience and uneven menu prices
The complaint, filed by Michael Thomas of Illinois and proposed to be expanded into a class action, grew out of routine observations by a frequent McDonald's customer. Thomas noticed that the price of his usual order — a cheeseburger Quarter Pounder, fries and a soda — varied significantly even within the same area. Similar discrepancies have been reported in New York: one customer paid about $15 for the same meal in Manhattan’s financial district while it cost roughly $9 in Brooklyn.
Price differences alone are not proof of illegal conduct: divergent rent, wages, demand and other local costs can lawfully produce substantial price variation. However, a Reuters investigation previously suggested some franchisees may have felt pressure to follow system recommendations or to justify deviations; McDonald's called that characterization speculative and unfounded.
Background: AI acquisition, rising menu prices, and business pressure
McDonald's acquired AI firm Dynamic Yield in 2019, but maintains it does not use dynamic pricing. The company reports average U.S. menu prices rose by about 40 percent between 2019 and 2024.
The lawsuit arrives at a difficult time for McDonald's: its share price has fallen roughly 32 percent from a February record high, amid weaker customer traffic and rising input costs. Beef prices have nearly doubled over five years, and CEO Chris Kempczinski expects sustained higher food costs. In response, McDonald's launched an $8.5 billion modernization program that includes expanding AI-based ordering systems.
Why the case matters
Beyond the particulars of this case, the litigation will test legal limits on how companies may employ algorithms and AI to support pricing decisions without triggering antitrust liability. The court must assess whether central recommendations effectively coordinated prices across franchisees or whether individual owners retained independent pricing control.
