McDonald's Faces US Class Action Over Alleged AI Menu Price Fixing
McDonald's has been hit with a proposed nationwide class-action lawsuit in Chicago federal court alleging that it used an AI-driven pricing algorithm trained on non-public data to illegally coordinate menu prices across franchise and corporate stores. McDonald's denied the claims, stating that franchisees maintain pricing authority and that data analysis tools are standard across industries. This case highlights expanding regulatory and legal scrutiny over enterprise AI pricing systems, which critics argue can act as mechanisms for algorithmic price fixing. A ruling against McDonald's could significantly restrict how major franchise chains and retail corporations deploy dynamic machine learning engines across independent operators. The lawsuit references findings that McDonald's pricing engine uses machine learning algorithms to continuously analyze millions of daily transactions across nearly 14,000 US stores. Plaintiffs argue that independent franchisees are legally required to determine prices autonomously rather than coordinating through a central algorithm.
## BACKGROUND
Under US antitrust law, independent operators within a franchise network are expected to compete on price rather than collude. In recent years, antitrust regulators and class-action plaintiffs have targeted 'hub-and-spoke' algorithmic pricing arrangements, where a single central platform or software coordinates prices across competing businesses. Similar lawsuits have previously been filed against software vendors and operators in the housing rental, hotel, and hospitality industries.