McDonald’s Is Letting AI Put a Price on What Customers Will Tolerate

McDonald’s is using artificial intelligence to help decide how much customers should pay for its menu items, with machine-learning models estimating what shoppers at individual restaurants are willing to tolerate before recommending an “optimal price” for everything from a Big Mac to other menu items, according to a Reuters report.

The system is reportedly being used across nearly 14,000 US restaurants, analyzing millions of daily transactions alongside local market data to generate restaurant-specific pricing recommendations. That means the price of the same McDonald’s product can increasingly depend not just on what it costs to make, but on what an algorithm believes customers in a particular neighborhood will accept.

The franchisee-facing system reportedly assigns restaurants different levels of price sensitivity. Screenshots reviewed by Reuters showed messages such as “MEDIUM SENSITIVITY to price,” with the assessment based partly on estimated “customer willingness to pay in your area.”

That turns McDonald’s pricing strategy into something more personalized than a traditional nationwide menu. Instead of simply raising or lowering prices across a market, the company’s AI can recommend different prices at individual restaurants based on the behavior of the customers who shop there.

The Same Big Mac Can Now Have a Very Different Price

The system reportedly looks beyond McDonald’s own sales data. It also incorporates competitors’ published menu prices from nearby restaurants, including Wendy’s and Burger King, giving the model another layer of information when calculating what a particular McDonald’s location should charge.

According to two former employees of Tiger Analytics, the company operating the AI platform, McDonald’s provides the rules and corporate targets that shape the system’s recommendations. Those rules have included concentrating price increases on products that have not risen in price for two years while avoiding increases on items such as ice cream and soft drinks during the summer.

The result is a pricing system capable of producing dramatically different recommendations for restaurants that are only a short distance apart. Reuters found one company-operated McDonald’s in Fresno, California, selling a Big Mac for $5.69, while another company-operated location just two miles away listed the same burger for $6.89 — a difference of roughly 21%.

Reuters could not establish that the AI system directly caused that particular price gap. But three franchisees told the agency that the pricing engine had contributed to wider differences between restaurants selling the same products, including locations in nearby neighborhoods.

That distinction matters because McDonald’s says restaurants can face different costs and operate in different local markets even when they are only a few miles apart. But the AI system appears to be taking that concept much further by estimating how much customers in each market are willing to pay.

The AI May Recommend the Price. Franchisees Still Have to Answer for It

McDonald’s says franchisees ultimately set their own prices, but Reuters reported that the relationship between those independent pricing decisions and the company’s AI recommendations is becoming increasingly complicated.

Five franchisees told Reuters that McDonald’s pressures them to follow the recommendations. A June document reviewed by the agency also showed that McDonald’s tracks deviations from the system’s suggested prices, while franchisees have since January been required to engage “constructively” with the company’s approved pricing consultant and tools.

The pressure becomes even more significant because franchisees can face scrutiny when they refuse to follow the recommendations. McDonald’s CEO Chris Kempczinski reportedly told investors in August that “pricing non-compliance in certain cases” forms part of franchisee business reviews.

In other words, the system may officially be a recommendation tool, but franchisees say the recommendations can carry consequences when they choose to ignore them.

The pricing portal itself also contains an unusual warning. Its legal terms tell franchise owners that they “may be competitors” with one another and must comply with antitrust law, underscoring the legal sensitivity of a system that effectively provides pricing guidance across thousands of independently operated restaurants.

McDonald’s Says AI Is a Tool, Not a Mandate

McDonald’s has pushed back against the characterization that its AI system dictates prices. The company described the portal as “a tool, not a mandate,” saying it is designed to provide restaurant-specific recommendations rather than impose mandatory prices on franchisees.

The company also argued that restaurants located only a few miles apart can operate in substantially different markets, making differences in menu prices unsurprising. McDonald’s called Reuters’ reporting “speculative and uninformed” and said it takes antitrust compliance seriously.

But the controversy goes beyond whether McDonald’s technically requires franchisees to accept an algorithm’s recommendation.

The bigger question is what happens when an AI system becomes sophisticated enough to estimate the maximum price a particular group of customers may tolerate — and a company then uses that information to guide thousands of individual pricing decisions.

Similar concerns have already surfaced elsewhere. Wendy’s faced backlash in 2024 over reports that it could use technology to vary prices during busy periods, although the company denied that it planned to raise prices when customers were visiting most. Instacart also ended a limited experiment in 2025 involving AI-driven tools that displayed different grocery prices to different shoppers.

McDonald’s system takes that debate into one of the world’s largest restaurant chains.

The company is not simply using AI to predict what customers might buy. It is using machine learning to help determine what those customers should be charged.

And if franchisees are increasingly expected to explain why their prices differ from what the algorithm recommends, the question may soon become less about whether AI is setting McDonald’s prices — and more about how much authority the algorithm actually has over the people who sell the food.