
Your Big Mac has always been able to cost more at one McDonald’s than another. What’s new is how sophisticated the recommendation behind that price is becoming.
A Reuters investigation published September 29 reports that McDonald’s is increasingly using a machine-learning pricing engine to recommend menu prices across its nearly 14,000 U.S. restaurants and in some international markets. The system analyzes millions of transactions and other market information to calculate what McDonald’s calls an “optimal price” for individual menu items at individual restaurants.
One of the inputs described in the reporting is especially likely to get consumers’ attention: an estimate of customers’ “willingness to pay” in a particular area.
So, is AI actually setting the price of your Big Mac?
Not exactly — and that distinction matters.
McDonald’s says its pricing portal provides restaurant-specific recommendations and that franchisees remain free to set their final menu prices. The company characterized the system to Reuters as a decision-making tool rather than a mandate.
That means this is not the same thing as a rideshare app automatically raising a fare because demand suddenly spikes at 5:30 p.m. A better description is AI-guided or algorithmic pricing: software processes enormous amounts of information and recommends what a restaurant could charge.
Two miles. Same burger. A 21% difference.
Reuters checked prices in McDonald’s app in September and found a striking example in Fresno, California. One company-operated restaurant listed a Big Mac at $5.69. Another company-operated McDonald’s roughly two miles away listed the same sandwich at $6.89.
That is a 21% difference.
Importantly, Reuters said it could not determine whether the pricing engine caused that particular gap. Restaurants in different micro-markets can have different costs and pricing strategies. But the example makes the consumer question very real: how much should your location influence what you pay for exactly the same product?
What the algorithm is looking at
According to Reuters, the pricing engine continually processes transaction data and market information. Screenshots reviewed by the news organization showed the system assessing a restaurant’s sensitivity to price based partly on customer willingness to pay. The portal also includes publicly available menu-price information from nearby competitors such as Wendy’s and Burger King.
McDonald’s has used some form of an AI pricing tool since at least 2019, according to Reuters. The technology is therefore not a brand-new experiment. What is new is the level of detail now emerging about how it works and how influential those recommendations may be.
There is another side to this story: AI can recommend lower prices too
The phrase “AI pricing” naturally sounds like technology designed to squeeze another dollar out of your wallet. The reporting is more complicated than that.
Reuters found that after recommending substantial increases during and after the pandemic, the engine has more recently recommended more conservative pricing — including decreases in some cases — as McDonald’s works to bring budget-conscious customers back into its restaurants.
That fits with the company’s broader strategy. McDonald’s has been publicly emphasizing value, including its expanded McValue menu, while warning that persistent inflation is keeping restaurant traffic under pressure.
The franchisees are where this gets complicated
McDonald’s maintains that restaurant owners control their prices. Five franchisees interviewed by Reuters, however, said they felt pressure from the company to use its pricing recommendations. Reuters also reviewed internal material indicating that deviations from recommended pricing are tracked.
That tension matters because McDonald’s restaurants are largely franchised businesses. The corporation and an individual restaurant owner do not always have identical financial incentives.
McDonald’s told Reuters that costs and other conditions can vary even between restaurants only a few miles apart and described its portal as a tool intended to help franchisees make informed decisions and deliver customer value.
Why regulators may care
Algorithmic pricing is attracting attention well beyond fast food. Regulators and courts are examining circumstances in which pricing algorithms could potentially facilitate coordination among businesses that are supposed to compete independently.
Reuters reports that McDonald’s pricing portal itself contains legal language warning restaurant owners about antitrust rules because franchisees may be considered competitors. That does not mean McDonald’s has violated antitrust law. It does show why the design and use of these systems matters.
And McDonald’s is betting on much more AI than pricing
This pricing system is part of a much larger technology story. McDonald’s recently detailed its McDonald’s > NEXT strategy, which includes deploying its GenAI-enabled ArchIQ restaurant operating system at scale. The company says the technology will help simplify operations and improve restaurant-level efficiency. AI-assisted drive-thru ordering and other automated tools are also part of the company’s broader modernization plans.
The AURA take: the price tag is becoming a piece of data
I’m less interested in the idea that “AI is pricing your Big Mac” than I am in what happens when companies become exceptionally good at calculating what you — or people who live near you — are willing to pay.
Businesses have always priced differently by market. A cup of coffee in Manhattan has never been guaranteed to cost the same as one in suburban Ohio. Airlines, hotels and ride-share companies have trained us to expect prices to move with place and demand.
AI changes the scale of that calculation. Instead of a person periodically looking at costs and competitors and deciding whether to raise a price by 20 cents, a machine can process millions of transactions and identify patterns humans would never see.
That can make businesses more efficient. It can potentially identify when prices should come down. It can also make the line between “what something costs” and “what a company thinks you will tolerate paying” increasingly difficult for consumers to see.
And that is the part worth watching.
Sources & further reading: Reuters, “Inside McDonald’s push to have AI price your Big Mac,” Sept. 29, 2026; McDonald’s corporate materials on its McDonald’s > NEXT strategy and McValue program. This article distinguishes reported findings from McDonald’s statements and does not assume that AI recommendations alone determine any restaurant’s final menu prices.
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