Article
McDonald’s Is Betting Billions on an A.I.-Powered Future
The fast-food giant plans to deploy generative A.I., connected kitchens and smarter restaurant systems as it seeks to make tens of thousands of locations more efficient. CHICAGO — For decades, the machinery behind a McDonald’s restaurant was relatively easy to recognize: grills, fryers, cash registers and drive-through headsets. Increasingly, another system is operating behind the counter: artificial intelligence. McDonald’s this week unveiled an ambitious new growth and modernization strategy that places A.I., data and automation at the center of its effort to transform how its restaurants operate. The company said it plans to provide roughly $8.5 billion in support through 2036 to accelerate restaurant modernization, technology deployment and other operational improvements, including about $5 billion through 2030. The investment is broader than A.I. alone. But artificial intelligence has become an important part of the company’s strategy. At the center of the effort is ArchIQ, a technology platform that McDonald’s says will use generative A.I. and other digital systems to improve restaurant operations. McDonald’s plans to deploy the technology at scale across its U.S. and internationally operated markets as part of a larger strategy it calls McDonald’s > NEXT. The company says those changes, combined with restaurant redesigns and operational improvements, could ultimately produce roughly 250 basis points of gross restaurant-level efficiency gains — equivalent to about $100,000 in annual cash-flow benefits for an average U.S. restaurant, according to McDonald’s estimates. It is an enormous experiment in what happens when artificial intelligence leaves the laptop and enters the kitchen. A Smarter Restaurant McDonald’s has been building toward this moment for years. The company entered a broad technology partnership with Google Cloud in 2023, seeking to bring cloud computing and generative A.I. technology into thousands of restaurants. One important piece of that system is edge computing, which places computing resources inside or close to individual restaurants rather than requiring every piece of information to travel to a distant data center. McDonald’s said last year that the technology was already operating in hundreds of American restaurants and was expanding internationally. The implications extend well beyond taking orders. Connected kitchen equipment can generate information about how machines are performing. Artificial intelligence can analyze those signals and potentially identify equipment problems before a machine fails. McDonald’s has also deployed A.I.-powered systems intended to catch incomplete orders before they reach customers. The company’s so-called Accuracy Scales compare what an outgoing order should weigh with its actual weight, flagging potential missing items for restaurant employees. By August 2025, McDonald’s said the technology had been deployed in thousands of restaurants across about a dozen markets. The Drive-Through Becomes a Testing Ground Perhaps the most visible application of the technology is the drive-through. McDonald’s has spent years experimenting with automated order taking. An earlier partnership with IBM was discontinued in 2024, but the company continued pursuing the idea. More recently, McDonald’s has been developing A.I.-powered ordering technology with Google. Chief Executive Chris Kempczinski said in June that the system had reached roughly 90 percent accuracy, though he declined to disclose the company’s ultimate target. The technology reflects one of the central challenges facing restaurant A.I.: a system does not merely need to understand ordinary speech. It must contend with accents, background noise, customized orders, children speaking from the back seat and customers changing their minds midway through an order. For McDonald’s, solving those problems at scale could have enormous consequences. The company now operates more than 46,000 restaurants, according to its latest strategy announcement. A technology that saves only seconds or small amounts of labor at each location can become significant when multiplied across a global network. A.I. Behind the Counter McDonald’s ambitions extend further. The company has previously explored generative-A.I. tools that could assist restaurant managers with administrative work such as scheduling. It has also investigated computer-vision technology capable of checking orders before they are handed to customers. Customer data presents another opportunity. A.I. systems can potentially analyze purchasing history and other information to determine which promotions are most likely to appeal to individual customers. Instead of sending the same discount to millions of people, McDonald’s could increasingly personalize what appears inside its app. That makes the company’s vast digital operation almost as important as its physical restaurants. The Economics of Automation McDonald’s is presenting its technology push primarily as a way to make restaurants easier and more efficient to operate. The company faces many of the same pressures confronting the broader restaurant industry: labor expenses, food costs, inflation and increasingly complicated operations involving drive-through customers, delivery drivers, mobile orders and traditional counter service. McDonald’s believes its NEXT program can help offset some of those pressures. The company expects to provide franchisees with financial assistance through a combination of capital support and rent relief as the new systems are introduced. It estimates participating investments could generate a roughly four-year payback for franchisees. The strategy nevertheless carries risks. Deploying sophisticated technology across tens of thousands of independently operated restaurants is considerably different from demonstrating it in a laboratory. Systems must work reliably across different countries, languages, restaurant layouts and network conditions. McDonald’s previous automated-ordering experiments demonstrate that technological ambition does not always translate immediately into widespread deployment. But the company is continuing to bet that the economics will eventually work. For a business built around producing the same hamburger quickly millions of times, even tiny improvements have historically mattered. Artificial intelligence offers McDonald’s the possibility of applying that philosophy to something much larger: not merely standardizing the food, but increasingly standardizing — and optimizing — the intelligence running the restaurant itself.