McDonald’s AI Pricing System Draws Scrutiny Over Menu Prices
At a Glance
- McDonald’s has used AI-assisted pricing tools to recommend menu prices to franchisees.
- The system analyzes transaction data and nearby competitors to assess customers’ willingness to pay.
- Reuters reports some franchisees faced pressure to follow AI-generated pricing recommendations.
- The system has raised questions over price differences, franchisee autonomy and antitrust risks.
McDonald’s is facing renewed scrutiny over its use of artificial intelligence to recommend restaurant prices, with Reuters reporting that the system can assess how much customers may be willing to pay for individual menu items.
The technology has also highlighted the growing role of algorithms in determining prices, with some franchisees saying they have faced pressure to follow the recommendations.
Key Statements
“The system is designed to provide recommendations to franchisees.”
— McDonald’s, according to Reuters
“Willingness to pay” is among the factors assessed by the pricing system.
— Reuters report
AI-Assisted Pricing
McDonald’s has used AI-related pricing technology in various forms since 2019. The system analyzes millions of transactions across the company’s global restaurant network and compares local menu prices with those of nearby competitors.
The technology can assess customers’ apparent sensitivity to price and recommend adjustments to franchisees.
McDonald’s says franchise owners ultimately retain the ability to decide whether to follow the recommendations.
Big Mac Prices Can Differ
The system can contribute to significant differences between prices at restaurants operating relatively close to one another.
In one example cited by Reuters, a company-operated McDonald’s in Fresno, California, listed a Big Mac at $5.69, while another restaurant roughly two miles away charged $6.89.
That represents a $1.20 difference, or about 21%, for the same sandwich.
Such differences can also reflect local operating costs, franchise decisions and other factors, meaning the AI system is not necessarily the sole reason for a price gap.
Pressure On Franchisees
While McDonald’s maintains that franchisees are free to accept or reject recommendations, Reuters spoke to restaurant owners who described a more complicated relationship with the pricing system.
Some franchisees said they received calls from McDonald’s asking why their prices differed from the system’s recommendations.
Reuters also reported that the company tracks deviations from suggested prices, raising concerns among some franchisees about how pricing decisions could affect their relationship with McDonald’s and future expansion opportunities.
One franchisee previously sued McDonald’s after objecting to pressure to sell a meal for $18 at a restaurant near a Connecticut highway.
Antitrust Concerns
AI-driven pricing also creates potential antitrust questions.
McDonald’s advises franchisees to comply with competition laws and recognizes that algorithmic pricing can create concerns over potential coordination or manipulation of prices.
The issue becomes more complicated when restaurants belonging to the same brand operate close to one another and use recommendations generated by the same pricing system.
The use of algorithms to recommend prices is not inherently illegal, but competition authorities in several markets have increasingly examined whether pricing technologies could facilitate coordination between competitors.
McDonald’s Broader AI Experience
Pricing is only one area where McDonald’s has experimented with artificial intelligence.
The company previously tested AI-based automated ordering technology with IBM, but ended that arrangement in 2024 after the trial.
McDonald’s has also faced other challenges involving AI. In 2025, a security incident involving its AI-powered recruitment chatbot reportedly exposed personal information belonging to millions of job applicants.
The company also withdrew an AI-generated Christmas advertisement following public criticism.
FYI
McDonald’s pricing system illustrates a broader shift in how artificial intelligence is moving from behind-the-scenes business operations into decisions that directly affect consumers.
For customers, algorithm-assisted pricing can mean that the cost of the same product varies between nearby restaurants. For franchisees, it raises a different question: how much discretion should business owners retain when a corporate algorithm recommends what customers should pay?
The antitrust dimension is also significant. Pricing algorithms can improve efficiency and help businesses respond to local demand, but regulators increasingly face the challenge of determining when algorithmic recommendations remain legitimate business decisions and when they could facilitate unlawful coordination.
The McDonald’s case therefore goes beyond the price of a Big Mac: it highlights an emerging debate over who ultimately sets prices when artificial intelligence becomes part of the decision-making process.
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