Your Big Mac might cost more because of where you live, not what's in it. An AI price engine at McDonald's estimates how much customers in each neighborhood are willing to pay, then nudges franchisees toward what the company calls the optimal price for every menu item, according to Reuters. For a generation that already tracks grocery hacks and corporate price jumps obsessively, the finding lands close to home: the number on the drive-thru board is increasingly the output of a machine-learning model.
Reuters published its investigation on Tuesday, September 29, after reviewing screenshots of the company's internal pricing tool taken in August and interviewing nine sources with firsthand knowledge of the burger chain's strategy. The AI price engine continuously analyzes data from millions of daily transactions across nearly fourteen thousand US restaurants to generate a recommended price for each item at each location, from burgers to discounted coffee for seniors. Built with help from the analytics firm Tiger Analytics, the system has operated in some form since 2019, and chief executive Chris Kempczinski boasted to investors about its proprietary pricing tools in 2023.
How the AI price engine works
Screenshots of the portal franchisees use show messages such as "Your restaurant is showing MEDIUM SENSITIVITY to Price," based in part on "customer willingness to pay in your area." Three franchisees told Reuters the AI price recommendations have widened existing price differences for the same product between restaurants, including from neighborhood to neighborhood within the same area. The AI price platform also pulls public price information from the online menus of nearby rivals, including Wendy's and Burger King — the two rival chains said they do not use AI in pricing decisions.
The starkest illustration came from Fresno, California. A Reuters check of prices in September on the McDonald's app found a company-run store selling a Big Mac for $5.69, while another company-run restaurant about two miles away charged $6.89 — a twenty-one percent gap. Reuters could not confirm whether that spread was the result of the AI price engine's recommendations or other factors. Still, the Fresno example shows how much the same sandwich can cost depending on which side of town you're ordering from.
Franchisees feel the squeeze
McDonald's insists pricing authority stays with its operators, but five store owners told Reuters they felt pressured to adopt the AI price recommendations. An internal communication reviewed by Reuters shows that in January, the company began requiring franchisees to be "constructively engaging with McDonald's approved Pricing Consultant and Tools" as part of its new business standards. A separate franchisee document from June shows the company records operators' deviations from the AI price suggestions in detail — meaning going against the algorithm leaves a paper trail.
The push aims to boost headquarters' profit, but it carries real risks: Reuters notes the strategy could alienate price-sensitive customers and attract antitrust scrutiny. The chain's own franchisee portal cautions operators to comply with antitrust laws — a sign the company knows how a shared AI price tool spanning thousands of stores can look to regulators. Critics argue that when one algorithm quietly steers prices across a whole market, it can function like coordinated pricing even without anyone picking up a phone.
What this means for your wallet
Here is the company's counterpoint, and it deserves a fair hearing. McDonald's said plainly that AI does not decide what a Big Mac costs, and that the technology does not charge customers different prices based on what they are prepared to pay. As Men's Journal reported, the company's statement called its pricing portal "a tool, not a mandate, designed to provide restaurant-specific recommendations to help franchisees deliver value for customers and make informed business decisions." The company also dismissed the reporting as "speculative and uninformed" claims attempting to reframe a standard business practice as something controversial.
There is truth in that defense: franchisees do retain the final say, and the Reuters investigation itself noted it could not tie the Fresno price gap directly to the engine. But the question the reporting leaves hanging is how much weight a "recommendation" carries when headquarters tracks deviations and bakes engagement with the tool into business standards. The tool doesn't set prices; it just makes one price far easier to defend than any other.
For Gen Z diners, the practical takeaway is blunt: prices under the golden arches are not as uniform as they look. Two stores a short drive apart can charge meaningfully different amounts for the same meal, and your neighborhood's income profile may now be a pricing input. One Fresno customer told a local outlet that learning about the gap would change his habits, saying he had always assumed prices were the same everywhere. Checking the app before you drive is the new normal — and price-hunting is already a survival skill, as GenZ NewZ's price-hike survival guide recently noted. For more on how companies are reshaping what you pay, follow the business beat.
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