AI Data Centers Don’t Have To Be Hyperscale. New Designs Could Ease Community Costs.

As AI drives a new wave of data-center construction, companies are experimenting with distributed edge facilities, flexible electricity demand, modular systems and alternative power arrangements. Those approaches could change how communities calculate the costs of digital infrastructure.

The image of an AI data center has become familiar. It sits on hundreds of acres, connected to transmission lines and substations. Its enormous buildings are packed with servers, and its cooling systems work to keep thousands of high-powered chips from overheating. That model is real, but it is not the only one.

As communities debate how much digital infrastructure they can support, engineers and grid operators are debating a parallel question: What if the next generation of data centers does not have to be built or operated the same way as the last one?

The stakes are rising. The United Nations Environment Programme estimates that data centers consumed about 415 terawatt-hours of electricity worldwide in 2024, roughly 1.5% of global consumption, and it expects that demand could double by 2030. Water impacts, UNEP notes, vary widely by facility design, cooling technology and location.

Even federal technical guidance rejects the idea of one ideal design. The U.S. Department of Energy’s best-practices guide for data-center design treats efficiency as a systems problem. That system includes computing equipment, cooling, electrical infrastructure, water, heat recovery and day-to-day operations. The guide also warns that compressed schedules can push companies to reuse approaches that worked in the past instead of asking what a particular project actually needs.

That distinction matters because many of the impacts now driving community opposition are not inherent to computing itself. They are consequences of choices about where facilities go, how much capacity developers build, how they obtain electricity, how they manage cooling and whether their demand can adapt to conditions on the grid.