McDonald’s Faces Class Action Alleging AI-Assisted Menu Price Fixing

McDonald’s menu-pricing recommendations now face a legal challenge over whether they coordinate businesses that should compete independently. A proposed nationwide class action, filed Friday in federal court in Chicago, alleges the company used AI and nonpublic data to fix prices with franchisees. McDonald’s rejected the allegations Monday, saying franchisees make their own pricing decisions.

The plaintiff, an Illinois resident, seeks to represent potentially millions of McDonald’s customers. The complaint accuses McDonald’s of unlawfully coordinating menu prices across franchise restaurants and company-owned locations, using algorithms trained on nonpublic business information. These are unproven allegations; the filing does not establish that McDonald’s or its franchisees violated US antitrust law.

According to National Technology’s account of Reuters reporting, the lawsuit alleges the arrangement dates back to 2019. Its focus is whether centralized recommendations, informed by private business data, influence prices among restaurants expected to compete independently. That challenges the relationship between the company and franchisees, rather than simply the use of software to analyze sales.

Lark Turner, a lawyer for the plaintiff, accused McDonald’s of using its data and franchise network to extract more money from consumers. In a statement quoted by Reuters, Turner described the company as “leveraging its troves of data and its franchised system to nickel-and-dime consumers down to the last French fry”.

Independent businesses must set their prices independently

The lawsuit, quoted by Reuters in The Economic Times

The complaint cites Reuters’ earlier investigation into McDonald’s pricing engine, published September 29. Reuters reported that the system uses machine learning—software that learns patterns from data—to continually analyze millions of daily transactions across nearly 14,000 US restaurants. It can recommend prices for individual products using factors that include local purchasing behavior.

Prices need not be identical across restaurants. Reuters found a Big Mac priced at $5.69 at one company-operated restaurant in Fresno, California, and $6.89 at another location about two miles away. It could not establish whether the pricing system caused that difference. The example illustrates local price variation, not proof of the alleged coordination.

McDonald’s called the lawsuit’s allegations speculative and uninformed in its Monday response. Its more detailed October 1 statement, published before the filing, describes a restaurant-specific recommendation tool. The company says the tool does not set or change prices, and franchisees decide both what to charge and whether to accept its recommendations.

The company also says the tool does not determine prices for individual customers or assess what each person is willing to pay. It describes recommendations based on restaurant-level market conditions, not prices that change in real time or at different hours of the day. McDonald’s says it does not use dynamic pricing.

McDonald’s frames the recommendations as an extension of ordinary business analysis. It says businesses have long weighed local costs, demand, competition and economic conditions when setting prices. A restaurant at a transportation hub can face different conditions from one in a suburb or small town, the company argues—even when locations are only a few miles apart.

Its statement also addresses franchisee accountability. McDonald’s says its value standard assesses the overall customer experience, rather than simply policing menu prices. Price is one consideration among several in those assessments, according to the company. It says franchisees are encouraged to deliver value but are not required to accept a pricing recommendation.

Those distinctions explain McDonald’s defense, but the complaint raises a different question: whether shared recommendations built on nonpublic information can influence supposedly independent pricing decisions. The dispute concerns centralized advice and competition, not just whether an AI system directly changes a number on a menu.