Is AI Setting Big Mac Prices? How the Same Burger Can Cost 21% More at a Nearby Store
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2026年9月30日・21分で読める
機械翻訳 / Machine-translated
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The Big Mac you order every day might actually be priced by AI.
A Reuters investigation revealed that McDonald's uses machine learning (an AI method that learns patterns from data) to set prices on a store-by-store basis. This article offers an easy-to-understand explanation of how the system works, what problems it raises, and what it could mean for Japan.
On September 29, 2026, Reuters published an investigative report titled "McDonald's is trying to let AI price its Big Macs."
According to the article, McDonald's uses an AI system called a "pricing engine" (a mechanism that calculates prices).
The system covers approximately 14,000 stores, mainly in the United States. It processes millions of orders per day and calculates the "optimal price" for each individual store.
This didn't start overnight. According to Reuters, McDonald's has been using AI-based pricing in some form since at least 2019.
The data analytics firm Tiger Analytics is reported to be operating the AI. The company has not commented on its work with McDonald's.
The data the AI examines falls broadly into three categories:
Store managers reportedly see messages on their screens such as:
"Your store shows moderate sensitivity to price."
In other words, the AI is essentially telling them: "Customers at this location are unlikely to leave even if prices rise slightly."
The AI doesn't set prices freely. Two former Tiger employees testified that McDonald's headquarters provided the AI with detailed rules.
Examples of these rules include:
Corporate goals such as "increase customer traffic" and "improve profitability" were also reportedly fed into the AI.
In September 2026, Reuters examined actual prices using the McDonald's smartphone app. Striking differences were found.
Imagine an office worker in Fresno.
In the morning, they buy a Big Mac at a store near their home. At lunch, they buy the same thing at a store near their office. The distance between the two is just about 3 km. Yet the lunch purchase costs roughly $1.20 more.
The person might not even realize the prices are different. That is what makes this system unsettling.
McDonald's later described the Connecticut $18 combo as "an exceptional case."
Most McDonald's locations are franchise stores run by individual owners who have signed contracts with corporate headquarters. In principle, the right to set prices lies with the owners.
Yet in Reuters' reporting, five owners said they were being pressured to use the AI tools.
Former owner Karen King said, "There aren't many options anymore."
In January 2026, McDonald's introduced new operating standards that include a requirement to "constructively engage" with approved pricing consultants and tools.
Furthermore, any decisions by owners that deviate from the AI's recommended prices are reportedly logged in detail.
Say an owner sells a hamburger for the equivalent of 20 yen less than the AI suggests, because they want to take care of their regular local customers.
A few weeks later, a corporate executive calls. And when the store's contract comes up for renewal, that "deviation" becomes part of the conversation. This is the dynamic the reporting describes.
Indeed, CEO Chris Kempczinski has acknowledged that "in some cases, pricing non-compliance can be part of the discussion."
In fact, corporate headquarters and franchise owners have different profit incentives.
Corporate revenue comes mainly from a fixed percentage of store sales. This gives headquarters an incentive to lower prices and grow customer volume.
Owners, on the other hand, are struggling with rising costs. According to the National Restaurant Association, costs have increased 36% since 2019. Owners want to raise prices.
The AI is also being used, in part, as a "referee" in this tug-of-war.
McDonald's is not the first to use AI or algorithms (sets of calculation rules) to adjust prices. Here's how similar cases compare.
| Company | Details | Outcome |
|---|---|---|
| McDonald's | AI calculates optimal price store by store (approx. 14,000 stores) | In operation. Corporate claims it is "standard business practice" |
| Wendy's | In 2024, announced a test of variable pricing on digital menu boards | Massive backlash over "surge pricing." Company said it was not implemented |
| Instacart | Ran an experiment showing different prices to different users on its online grocery platform | Differences of up to 23% were found. Ended in December 2025 |
| Uber and other ride-hailing apps | Raises fares during periods of high demand | Widely established, but persistent complaints from users |
The key point about McDonald's system is that it changes prices by store. This is somewhat different in nature from something like Instacart, which showed different prices to individual users.
However, if prices are being raised based on an estimate of how much people in a given area can afford to pay, from a consumer's perspective it feels much the same. That is precisely why the backlash has occurred.
In the United States, the practice of using personal data to vary prices is known as "surveillance pricing," and regulations are advancing.
Another issue is antitrust law (which prevents companies from colluding on prices).
The terms of McDonald's pricing tool include a note warning that "owners may be competitors of each other" and urging compliance with antitrust law.
Former FTC (Federal Trade Commission) Commissioner William Kovacic noted that this reads like an acknowledgment of "a potential problem."
If the same AI is gradually aligning prices across nearby stores, the concern is that it could amount to a form of "AI collusion" — coordination without any explicit agreement.
This reporting is primarily about the United States. There is currently no information suggesting that McDonald's Japan uses the same AI pricing engine.
That said, price differences based on location already exist in Japan.
McDonald's Japan designates stores in central urban areas, where rent and labor costs are high, as "urban stores" or "semi-urban stores," and prices them higher than standard locations. In the price revision of February 25, 2026, the Big Mac single item at standard stores rose from 480 yen to 500 yen.
Consider a Tokyo office worker who orders the same combo meal at a store in the business district and at one near their home. Comparing the receipts, there can sometimes be a difference of tens of yen.
For now, that difference can be explained by higher rent. But if AI begins determining prices by judging that "people in this area can afford to pay more," that changes the conversation.
Japan's Fair Trade Commission published a report in 2021 titled "Algorithms/AI and Competition Policy," which examined AI-driven pricing collusion and individualized pricing as key issues.
Variable pricing is already spreading in Japan across supermarkets, hotels, theme parks, and other sectors. The McDonald's case is anything but irrelevant to Japan's restaurant chains.
A. According to the reporting, McDonald's AI determines prices by store, not for individual customers. However, because it estimates "willingness to pay" based on the demographics of a local area, it has become a target of criticism.
A. There is currently no official information indicating that the same AI engine is being used in Japan. In Japan, pricing tiers already exist based on location — standard stores, semi-urban stores, urban stores, and so on.
A. The company states that the pricing tool is "a tool that generates suggestions for each store, not orders," and that the final price is determined by the owner. McDonald's has pushed back against the Reuters report, calling it "based on speculation."
A. The most reliable method is to compare prices at multiple nearby stores using the official app. The Reuters investigation confirmed that in the United States, prices change when you switch between stores in the app.
A. Flexibly adjusting prices is not illegal in most countries. However, pricing based on personal data and effective collusion facilitated through AI are increasingly becoming the subject of regulation and pending legislation.
Next time you place an order, try comparing prices at nearby stores in the app. You just might catch a glimpse of prices "set by AI."
This article is a cross-post from AI Friends.
