> ## Content Index > Fetch the complete content index at: https://www.thealgorithmicjournal.com/llms.txt > Use this file to discover other available public pages before exploring further. # AI Is Helping Recommend What Your Big Mac Should Cost. Now McDonald’s Is Being Sued. - URL: https://www.thealgorithmicjournal.com/ai-is-helping-recommend-what-your-big-mac-should-cost-now-mcdonalds-is-being-sued/ - Published: 2026-10-06T13:14:24.000Z - Updated: 2026-10-06T13:14:24.000Z - Description: McDonald’s says AI does not set its menu prices. A new lawsuit says its pricing technology may still have too much influence. The fight raises a bigger question about who, or what, helps decide what we pay. - Author: David Showers - Tags: Technology, Maya Chen **By Maya Chen | Future Tense** You pull into McDonald’s on the way home. Maybe you order a Big Mac. Maybe fries. Maybe the same meal you’ve ordered dozens of times. You probably don’t spend much time wondering **how that particular restaurant decided what to charge you.** Increasingly, though, there may be an algorithm somewhere in that process. McDonald’s is facing a proposed nationwide class-action lawsuit alleging that the company used an AI-powered pricing system in a way that unlawfully coordinated menu prices among its restaurants. McDonald’s strongly disputes the allegation. The company says individual franchisees, not artificial intelligence, ultimately determine their own prices. [Reuters reports on the lawsuit](https://www.reuters.com/legal/government/mcdonalds-hit-with-class-action-over-menu-prices-2026-10-05/?utm%5Fsource=chatgpt.com) The lawsuit is new. The bigger question isn’t. **How much influence should algorithms have over the prices we pay?** ## What McDonald’s Is Actually Doing McDonald’s has developed technology that provides restaurant-specific pricing recommendations to its franchisees. The company says the tool does not actually set or change prices. Franchise owners decide whether to accept its recommendations. McDonald’s has also pushed back strongly against suggestions that it uses dynamic pricing or determines what an individual customer might be willing to pay. In its own explanation of the system, McDonald’s says the technology considers restaurant-level market conditions that can vary by geography and other factors. [McDonald’s explanation of its pricing system](https://corporate.mcdonalds.com/corpmcd/our-stories/article/how-mcdonalds-sets-prices.html?utm%5Fsource=chatgpt.com) That distinction matters. **But so does the recommendation.** Because an algorithm does not need the authority to push the final button to influence what happens. ## When a Recommendation Becomes Powerful Think about the recommendations already surrounding everyday life. Streaming services recommend what to watch. Online stores recommend what to buy. Social platforms recommend what to read. Navigation apps recommend which road to take. Humans still make the final decision. But recommendations matter. Pricing takes that relationship somewhere more consequential. When sophisticated technology analyzes enormous amounts of information and tells a business what price makes sense, the algorithm has become part of the economic decision, even if a human ultimately approves it. That is part of what makes the new McDonald’s lawsuit significant. The plaintiffs allege that McDonald’s pricing system improperly coordinated menu prices among restaurants that should be making independent pricing decisions. McDonald’s says that allegation is speculative and wrong. It maintains that franchisees independently set their own prices. **For now, those are allegations, not established facts.** A court will have to sort out the legal question. Consumers, however, are left with another one. ## The Invisible Layer Between You and the Price For most of modern retail history, consumers understood, at least broadly, why prices changed. Ingredients became more expensive. Labor costs increased. A competitor opened across the street. Demand went up. Those things still happen. What’s changing is the machinery businesses can use to interpret them. A sophisticated pricing system can process quantities of information no restaurant manager could realistically analyze alone and recommend what price might make sense in a particular market. And McDonald’s is hardly the only place where technology is entering that equation. At *The Algorithmic Journal*, we recently looked at the broader rise of **surveillance pricing**, where data and increasingly sophisticated technology can help businesses shape the offers consumers see. [The Same Cart. A Different Price.](https://www.thealgorithmicjournal.com/the-same-cart-a-different-price/) There is an important difference here. McDonald’s specifically says its system **does not personalize a menu price for an individual customer** and does not determine what a particular person is willing to pay. Still, both stories point toward the same larger change. **The price tag is becoming more technologically sophisticated, while the process behind it can become harder for consumers to see.** ## Your Big Mac Is Just the Beginning There’s something almost perfect about this debate happening over McDonald’s. A Big Mac is ordinary. **That’s precisely why the story matters.** Artificial intelligence is not staying inside Silicon Valley laboratories or appearing only in futuristic products. It is moving quietly into mundane business decisions. What a store should stock. Which advertisement you see. What product appears first on your screen. How much inventory a restaurant needs. And now, what price a business might want to charge. Sometimes those systems will make businesses more efficient. They could even help companies identify places where prices should be lower. Other times they will raise uncomfortable questions about competition, transparency and just how much influence we are comfortable giving algorithms over ordinary economic life. McDonald’s says people still make the final pricing decision. That may be true. But the fact that a company feels compelled to explain exactly what its algorithm **doesn’t** do tells us something important about where we are headed. Consumers are beginning to realize there may be an invisible technological layer sitting between a product and its price. So the next time you look up at a menu board and think, *“Didn’t that used to cost less?”* The answer may still be inflation, labor costs, rent, local competition or a franchise owner’s decision. But increasingly, somewhere behind that number, **an algorithm may have an opinion too.** ​ [ ![Maya Chen, Technology Writer for The Algorithmic Journal](https://storage.ghost.io/c/ae/00/ae00f758-acc4-44aa-a793-8f45aa1cca12/content/images/2026/08/02_Maya_Chen_Technology.png) ](https://www.thealgorithmicjournal.com/tag/maya-chen/) ### [Maya Chen ](https://www.thealgorithmicjournal.com/tag/maya-chen/) Technology Writer · The Algorithmic Journal Future Tense Maya Chen is an **AI-created Technology Writer for *The Algorithmic Journal***, developed specifically to cover artificial intelligence, consumer technology, digital culture and the ways emerging tools are changing everyday life. Her column, *Future Tense*, looks beyond product launches and buzzwords to explore what technology means for real people. Maya's work is created with artificial intelligence under human editorial direction and review, reflecting TAJ's commitment to transparency and its philosophy: *Artificial intelligence. Human perspective.* [Read all articles by Maya Chen → ](https://www.thealgorithmicjournal.com/tag/maya-chen/) ​