McDonald's uses AI to set prices: the fairness question
McDonald's integrates artificial intelligence to guide menu prices in nearly 14,000 US restaurants and some global markets, aiming to increase profits.
How to manage customer surprise when facing variable prices for the same product?
First, recognize customer surprise at price differences for the same product, then explain the logic of the variation. When 41 simulated voices reacted to McDonald's decision, about half declared against it, and their primary brake was a disagreement on principle with this approach.
The context, in plain terms
On September 29, 2026, Reuters revealed that McDonald's Corporation had intensified its use of artificial intelligence to guide its menu prices. This technology is deployed in nearly 14,000 restaurants in the United States and some international markets. The AI system analyzes millions of daily transactions to generate the optimal price for each item, at each location. Concrete examples, cited by Reuters and CNBC, show a Big Mac at $5.69 in one Fresno restaurant, and $6.89 in another, a 21 percent difference. The stated goal is to increase corporate profits, even though Reuters reported a risk of antitrust scrutiny. McDonald's specified that franchise operators remain free to set their own prices, positioning the system as a recommendation tool. Publicly, the exact extent of this deployment in global markets is not established, and nothing public indicates whether the board of directors formally voted on this decision.
The Big Mac price, a value read in two steps
Inside McDonald's offices, the decision to optimize prices via AI is a promising technological advance for profitability. But on the street, looking at the menu, this same decision reads as an unexpected variation for an iconic product. Price uniformity is a strong expectation among customers accustomed to the consistency of the McDonald's experience.
A panel of simulated voices reacts to this announcement with Clear reluctance. About half of the voices declare against this approach, about one voice in seven expresses doubts, and about one voice in three supports it. The heaviest group in this response is that of franchise operators, about one voice in seven of the panel, because the decision concerns them directly: they must manage prices daily and face customer reactions.
The first audience for prices is those who pay them, or who apply them.
The expectation of uniformity versus the logic of optimization
What holds it back first is a disagreement on principle: the idea that a Big Mac could cost more on one street than another, with no apparent reason for the customer, clashes with the brand's image. The doubt concerns how this optimization, however logical for leadership, will be perceived by the general public. Affected customers, who are one of the voices on the panel, feel caught off guard by this fluctuation.
On this point, it is the Promise Gap that is missing: one can optimize prices and not believe that the customer will understand the logic behind the variation. The company offers pricing flexibility, but the public expects consistency, especially for flagship products. The profit optimization strategy clashes with an expectation of predictability and fairness from consumers.
An unexplained promise is a broken promise.
A journalist's voice sees the makings of a story
Despite the general reluctance, one voice on the panel, that of a Wall Street Journal reporter, declares in favor of the initiative, even if they belong to a group (media and analysts) that leans against it. “This is either a genius profit play or a PR nightmare waiting to happen, either way, it’s a story that writes itself,” this voice states. It perceives the narrative potential of this decision, whether positive or negative, and the inevitability of its media coverage.
We ran the exercise three times: the answer splits between "Clear reluctance" and "Divided response". It hangs by a thread: give suppliers or the corporate leadership group twice their say, and the response would turn to "Divided response". Outside voices, like customers or the public, receive the decision less favorably than inside voices, like leadership or franchise operators.
Price perception is a story told in two voices.
Explaining the logic to transform surprise
Now that the decision is public, the first follow-up gesture is to explain the logic behind these price variations. It is necessary to show how AI considers local factors, demand, or operating costs, to justify differences that are otherwise perceived as arbitrary. Restaurant staff, a group that weighs about one voice in seven of the panel, is directly concerned by this decision and must be able to answer customer questions.
Communication must anticipate customer questions, as a parent on a budget voice says: “We stretch every dollar to eat out once a week, and now McDonald’s is making it a guessing game? I’ll just pack sandwiches.” The company must transform this surprise into understanding, to prevent customers from turning away. What the case does not know is the exact scope of franchisee autonomy regarding these recommendations.
A fair price is an explained price, not just a calculated one.
What you have just read comes from a rehearsal, not a report. The reception of a decision by its audiences is simulated on the Kapari test bench, before a panel of 41 voices. This exercise showed that price variation, even when optimized, clashes with the expectation of uniformity at McDonald's, and that a journalist's voice sees a story to tell. The same exercise can be conducted on a decision not yet announced, to anticipate reactions.
The questions readers ask
How do regulators perceive this dynamic pricing strategy?
Verified material indicates that Reuters noted the possibility of antitrust scrutiny following the announcement of AI use to guide prices. On the panel, regulators and advocates, about one voice in ten, are vocal on the subject, but their weight is less significant than that of other groups directly affected by the decision.
What role does franchisee autonomy play in managing these prices?
McDonald's communicated that franchise operators retain the freedom to set their own prices, meaning the AI system is a recommendation tool and not an automatic pricing mechanism. This autonomy is an important factor for the perception of the decision, as it shifts final pricing responsibility to franchisees, who are a weighty group in the reactions.
Is this a poll or a prediction?
The panel voices are simulations, neither a poll nor a prediction of opinion. The numbers cited are those of a simulated panel of 41 voices, never a share of public opinion. The reported facts come from dated and named sources. Kapari sheds light on the decision; it does not make it.
How Kapari computes and reads its signals: the method
Related cases
Your next decision deserves the same scrutiny.
Run it through the test bench before you announce it: a panel of voices reacts, you read the range and you see the frictions coming.
Request access