McDonald's faces antitrust lawsuit over AI pricing tool
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McDonald's was sued in Chicago federal court in a proposed nationwide class action, accused of using an AI pricing tool to exchange non-public price and sales data among independent franchisees, constituting algorithmic price collusion and driving up menu prices. The complaint states the platform sets menu prices for thousands of U.S. locations based on millions of daily transaction data points; the plaintiff is a regular customer in Illinois who says his frequently ordered combo meal was priced differently at nearby locations. McDonald's responded that AI does not set store prices, pricing is determined by franchisees, the tool in question is optional and does not automate, coordinate, or fix prices, and said the complaint is full of inaccuracies and that it will vigorously defend itself. Subsequent reporting said the lawsuit was filed on October 2, 2026, in the U.S. District Court for the Northern District of Illinois, alleging McDonald's violated Section 1 of the Sherman Antitrust Act; plaintiff Michael Thomas said McDonald's has operated this machine learning system since at least 2019, using consolidated transaction data to generate price recommendations for its nearly 14,000 U.S. locations, and alleged it coordinated menu prices among independently operated locations, causing customers to pay higher prices for items such as Big Macs and Quarter Pounders. Newer reporting said the court accepted a class action by Michael Thomas against McDonald's USA, LLC and McDonald's Corporation, alleging that since 2019 it aggregated non-public sales and pricing data from franchise locations through an algorithmic pricing tool and set menu prices accordingly, violating Section 1 of the Sherman Act, Illinois antitrust law, and consumer fraud law; the complaint states that about 95% of McDonald's U.S. locations are operated by independent franchisees, who should set their own prices and compete with one another, and that McDonald's acquired Dynamic Yield in 2019 for $300 million.
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- · 3 reportsMcDonald's faces antitrust lawsuit over AI pricing tool
- Date not given · 1 reportsMcDonald's faces AI-related class action
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- The Guardian · 人工智能McDonald's sued over alleged use of AI tool to price franchise locations
McDonald's was sued in Chicago federal court, accused of using an AI pricing tool to exchange non-public price and sales data among independent franchisees, constituting algorithmic price collusion and driving up menu prices; the case is proposed as a nationwide class action. The complaint states the platform sets menu prices for thousands of U.S. locations based on millions of daily transaction data points; the plaintiff is a regular customer in Illinois whose frequently ordered combo meal was priced differently at nearby locations. McDonald's responded that AI does not set store prices, pricing is determined by franchisees, the tool in question is optional and does not automate, coordinate, or fix prices, and said the complaint is full of inaccuracies and that it will vigorously defend itself. A previous Reuters investigation reported that some franchisees were pressured to use the tool and recorded deviations from recommendations; McDonald's called that report speculative. The reporting also mentioned that at least 90 pieces of legislation on algorithmic pricing have been introduced nationwide this year, and data McDonald's released in 2024 showed its average menu item price rose about 40% between 2019 and 2024.
- Date not givenLaw CommentaryMcDonald's faces nationwide class action in the U.S., accused of using AI pricing to inflate Big Mac prices
McDonald's faces a proposed nationwide class action lawsuit alleging that its AI pricing system coordinates menu prices across thousands of U.S. locations, causing customers to pay higher prices for items such as the Big Mac and Quarter Pounder. The lawsuit was filed on October 2, 2026, in the U.S. District Court for the Northern District of Illinois, accusing McDonald's of violating Section 1 of the Sherman Antitrust Act. Illinois customer Michael Thomas claims that McDonald's has operated this machine learning system since at least 2019, using aggregated transaction data to generate price recommendations for its nearly 14,000 U.S. restaurants, and argues that sharing these recommendations among independently operated locations constitutes coordinated conduct prohibited by Section 1. McDonald's denies the allegations, stating that franchisees set menu prices themselves and that its AI tool is merely a recommendation system that considers local market conditions, with franchisees retaining final pricing authority. The complaint also alleges that McDonald's monitors locations that deviate from recommended prices and pressures them to use its pricing tool, with Thomas stating that participation became mandatory as of January 2026.
- Date not givenReuters(法院文书托管)McDonald's faces class action: accused of using algorithm to share franchise pricing data and manipulate menu prices
The U.S. District Court for the Northern District of Illinois accepted a class action by Michael Thomas against McDonald's USA, LLC and McDonald's Corporation, alleging that since 2019 it aggregated non-public sales and pricing data from franchise locations through an algorithmic pricing tool and set menu prices accordingly, violating Section 1 of the Sherman Act, Illinois antitrust law, and consumer fraud law. The complaint states that about 95% of McDonald's U.S. locations are operated by independent franchisees, who should set their own prices and compete with one another; McDonald's acquired Dynamic Yield in 2019 for $300 million, and according to a Reuters report of September 29, 2026, the pricing tool is operated by Tiger Analytics with McDonald's controlling its rules, including a 30% rule that recommends a price increase only for items already raised at at least 30% of locations. The plaintiff seeks treble damages, injunctive relief, and attorney's fees on behalf of purchasers nationwide and in Illinois.
- Date not givenAI Incident DatabaseSelectedMcDonald's faces class action lawsuit, accused of using an AI pricing engine to coordinate and raise menu prices
On October 2, 2026, consumer Michael Thomas filed a class action lawsuit against McDonald's USA, LLC and McDonald's Corporation in the U.S. District Court for the Northern District of Illinois, alleging that since 2019 the companies used a machine learning pricing engine to aggregate franchisees' non-public transaction data and coordinate menu pricing, in violation of Section 1 of the Sherman Act, Illinois antitrust law, and consumer fraud law. The complaint states that approximately 95% of the roughly 14,000 McDonald's restaurants in the U.S. are operated by independent franchisees, who should compete with one another and set prices independently, but McDonald's collected store-level sales and pricing data through a mandatory POS system and required franchisees to use its approved pricing advisors and tools. According to Reuters, the engine's rules tied a store's price increase to at least 30% of competing stores having already raised prices, the so-called 30% rule. The complaint cites a McDonald's document from May 29, 2024, stating that average menu prices rose about 40% from 2019 to 2024, and alleges that franchisees who deviated from recommended prices were recorded, affecting renewals or expansion. The plaintiff seeks treble damages, injunctive relief, and attorney's fees.
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