McDonald’s Faces Nov. 16 Deadline to Explain AI Menu Pricing

McDonald’s has until Nov. 16 to explain to Congress how its algorithmic pricing system works, what data feeds it, and what safeguards keep its roughly 14,000 U.S. restaurants from coordinating prices. Sen. Elizabeth Warren of Massachusetts and four Democratic House members set the deadline in a Nov. 2 letter to CEO Chris Kempczinski, according to the New York Post.

Warren was joined by Reps. Greg Casar of Texas, Becca Balint of Vermont, Jesús García of Illinois and Mary Gay Scanlon of Pennsylvania, Reuters reported. The inquiry lands while two proposed consumer class actions sit in federal court. The lawsuits allege the company's pricing technology coordinates menu prices across independently owned and company-operated restaurants. Nothing has been established in court, and McDonald’s disputes the claims.

What did the lawmakers ask?

The letter presses three questions with direct franchise-economics consequences:

• Whether McDonald’s uses customer information, including loyalty-program data, to build pricing recommendations
• How much influence the company exercises over franchise operators who receive those recommendations
• Whether the company assessed antitrust risks before deploying the technology

The lawmakers also want to know whether the system could facilitate coordination among restaurant operators who otherwise compete with one another — the same theory at the center of the pending litigation.

How does the system actually work?

A September Reuters investigation detailed the machine-learning technology at issue. The system analyzes restaurant transactions and recommends prices for individual menu items, incorporating local market conditions, including estimates of what customers in a particular area may be prepared to spend. It processes information from millions of daily transactions across the U.S. footprint, Reuters reported.

McDonald’s has rejected any suggestion that the technology independently sets prices. The Chicago-based company says franchise owners retain pricing authority and that its tools provide guidance, not binding instructions. It also says recommendations are not based on individual customers’ personal information. In earlier statements, the company disputed characterizations of the system as anticompetitive and noted that similar analytical tools are widely used across industries. McDonald’s did not respond to Reuters’ request for comment on the congressional letter.

Several franchise operators interviewed by Reuters said they felt pressure to follow the recommendations. Others described widening price gaps between restaurants in nearby markets. McDonald’s has countered that differences in local operating costs, competition and customer demand can justify varying prices, even among locations a few miles apart.

Why does shared algorithmic pricing raise antitrust concerns?

Businesses have always priced off sales figures, operating expenses and competitors’ menus. The legal question here is narrower and newer: whether sharing commercially sensitive information through a common pricing platform reduces competition, even when each operator formally retains the right to accept or reject a recommendation. Advanced algorithms can evaluate far larger datasets than any manual process and generate location-specific output, which sharpens that question for any franchised system where operators nominally compete.

What happens next?

The congressional inquiry does not itself establish wrongdoing. But the lawmakers’ questions, combined with pending consumer litigation, could intensify scrutiny of how large franchised businesses use AI to influence prices. For McDonald’s, the timing is awkward. The company is pushing affordability to win back traffic from price-sensitive customers, while franchisees must weigh corporate pricing guidance against their own labor, rent and food costs. McDonald’s says its tools help operators make informed decisions based on market conditions, rather than adjusting prices automatically to individual customers or real-time demand.

The Nov. 16 response will detail the technology, its data inputs and the safeguards meant to preserve independent competition among franchise operators. The lawsuits, meanwhile, will test whether guidance that everyone feels pressured to follow still counts as independent.