Inside McDonald’s push to have AI price your Big Mac
McDonald’s is deploying AI-driven pricing across its franchise network to maximize corporate revenue, but the system widens price disparities, pressures franchisees, and invites antitrust scrutiny over algorithmic coordination.
Key Points
- McDonald’s uses a machine-learning pricing engine analyzing millions of daily transactions across ~14,000 US restaurants to generate “optimal price” recommendations per location per menu item, widening price gaps — e.g., a Big Mac costs 6.89 (21% more) two miles away. McDonald’s AI pricing engine
- Franchisees report pressure to follow AI recommendations despite McDonald’s calling the portal “a tool, not a mandate”; internal communications require “constructively engaging” with approved pricing tools, and the company tracks “pricing non-compliance” in business reviews. Franchise model tensions
- McDonald’s headquarters profits from a percentage of franchisee revenue, incentivizing lower prices to drive volume, while franchisees face 36% cost increases since 2019 and prefer higher prices to protect margins. Franchise economics
- Antitrust regulators and courts are scrutinizing algorithmic pricing; McDonald’s own portal terms warn franchisees they “may be competitors” and must comply with antitrust laws, acknowledging potential collusion risk. Algorithmic pricing antitrust
- Tiger Analytics operates the AI platform under McDonald’s rules: e.g., only raise prices on items not increased in 2+ years, only if 30%+ of stores recently raised them, and exclude ice cream/drinks from summer increases. AI pricing platforms
- US foot traffic has declined year-over-year every month since March 2026 despite conservative pricing pushes; CEO Kempczinski called out ~one-third of franchisees not complying with under-$3 menu guidance. McDonald’s traffic trends