McDonald's Integrates AI to Adjust Menu Prices in Real Time
McDonald's has implemented artificial intelligence technology to set menu prices across the United States and select international markets, resulting in noticeable price differences for identical items within the same city. For example, in Fresno, California, a Big Mac was priced at $5.69 at one location but reached $6.89 just two miles away, reflecting a nearly 21% price gap. The company’s algorithms analyze customer willingness to pay, causing significant fluctuations in pricing.
While franchise owners retain the authority to finalize prices, McDonald's exerts considerable influence encouraging them to adopt these AI tools. The corporation monitors adherence to algorithmic pricing suggestions and records any deviations. Franchisees are expected to collaborate constructively with McDonald's pricing consultants, receiving pricing recommendations at least three times annually. McDonald's CEO Chris Kempczinski has emphasized the seriousness of compliance, warning that pricing policy breaches could be addressed when franchise agreements are renewed:
“Non-compliance with pricing guidelines may be discussed during franchise contract renewals.”
Legal Challenges and Antitrust Considerations Surround Dynamic Pricing
The platform's policies acknowledge that franchisees operate as competitors and must comply with antitrust laws. Although franchisees set their own final prices, McDonald's advises them to seek independent legal advice to navigate these complexities. The company has employed such AI-driven pricing models since at least 2019. In 2023, CEO Kempczinski detailed to investors how these tools provide granular price analysis at the restaurant level.
One notable incident involves a franchisee in Connecticut who was advised to price a Big Mac at $18, a recommendation that has become part of ongoing litigation. The adoption of dynamic pricing has stirred controversy beyond McDonald's; for instance, in 2024, Wendy's faced scrutiny over its leadership’s comments on dynamic pricing, while Instacart abandoned AI experiments that would display varied prices to different customers.
This shift to AI-powered pricing coincides with a nearly double-digit decline over two years in visits to McDonald's locations among lower-income consumers. These trends heighten the company’s legal exposure, especially concerning antitrust regulations.
The use of AI for dynamic pricing at McDonald's signals a transformative strategy in fast-food pricing management. However, it raises concerns among consumers and regulators about competitive fairness and affordability. Given the reduction in patronage from economically vulnerable groups, McDonald's faces the challenge of balancing technological innovation with legal risks and franchisee relations. These factors are likely to shape the company’s pricing strategies and franchise partnerships moving forward.