The infrastructure gap is slowing data center growth because power connections, cooling systems, and long-lead electrical gear often take longer to deliver than new cloud computing capacity. Demand for computing capacity is rising quickly as artificial intelligence, cloud computing, and data-intensive applications expand. Yet adding servers is only one part of increasing capacity.
New computing facilities require substantial electrical power, cooling equipment, utility connections, network infrastructure, and suitable land. In many markets, those supporting systems cannot be expanded as quickly as computing demand is growing. The result is an infrastructure gap that can delay projects even when financing and customer demand are already in place.
As of April 2026, electricity demand from computing facilities rose 17% in 2025, according to the International Energy Agency (IEA). “Global electricity demand from data centres is set to more than double over the next five years, consuming as much electricity by 2030 as the whole of Japan does today,” said Fatih Birol, executive director of the IEA, in an IEA news release.
Power Has Become a Development Constraint
Electricity availability is increasingly influencing where server facilities can be built and how quickly they can begin operating. A proposed site may sit near a transmission network but still lack an approved connection for the facility’s full load.
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Utility upgrades can take years. New substations and transmission equipment require planning, permitting, manufacturing, and construction. Computing facility developers therefore need to investigate actual power availability early rather than treating utility capacity as a problem to solve after a site has been selected.
“We’re seeing sites engineered around power availability and resiliency first, with building layout, phasing and even cooling strategies adjusted to match what can realistically be delivered,” said Tom Harper, a computing infrastructure leader at Gallagher, in a Construction Dive interview.
AI workloads can make the issue more pronounced because high-density computing environments can concentrate considerable electrical demand into a relatively small physical footprint. For your business, that can limit where a cloud provider adds capacity and how soon it can accept new workloads.
Cooling Infrastructure Has to Keep Pace
Nearly all of the electricity consumed by computing equipment eventually becomes heat. As rack densities increase, removing that heat becomes more difficult.
Traditional air cooling remains appropriate for many facilities, but higher-density deployments are increasing interest in liquid cooling and other heat-management approaches. The IEA estimates that cooling uses about 7% of electricity at efficient hyperscale computing sites and more than 30% at less-efficient enterprise facilities.
These changes affect facility design well beyond the server rack. The plan may call for pumps and piping, while heat-rejection equipment and local water supply can shape the final design. “We call it cooling, but our goal isn’t a comfortable, 68-degree data hall. Our goal is to move just enough air through our servers to keep them from overheating,” said Dave Klusas, senior manager of facility cooling systems at Amazon Web Services, in an AWS cooling report.
Supply chains matter here as well. A facility that requires specialized cooling equipment can still face delays even after its power needs are resolved. Working with a heat exchanger coil manufacturer, for example, may involve custom coil specifications, material choices, and production schedules that need to be considered well before equipment installation begins.
Equipment Lead Times Can Reshape Schedules
Server facility construction depends on specialized electrical and mechanical equipment that cannot always be purchased on short notice. Transformers are a prominent example. Industry-wide demand for grid equipment has contributed to long procurement timelines, creating another potential bottleneck for large projects.
“Large transformers for substations and generators have lead times growing from three to as much as four years,” said Katie Jereza, assistant secretary for the U.S. Department of Energy Office of Electricity, during a Department of Energy webinar. That timeline can exceed the time needed to construct much of the building itself.
This changes how developers approach scheduling. Equipment procurement may need to begin while other parts of a project are still moving through design or permitting. That introduces financial risk because major components can be committed before every development question has been settled.
Computing Facility Infrastructure Capacity Is Becoming a Competitive Factor
The location with the cheapest land is not necessarily the location where a computing facility can become operational fastest. Power availability can outweigh a low land price when a utility cannot provide a firm delivery date.
Developers must weigh grid expansion plans and fiber connectivity alongside real estate decisions. Water limits, permitting conditions, and equipment availability can change a project schedule after a site is selected. “The data centres of 2026 and beyond are going to be two construction projects in one: Power generation and data halls,” wrote Ted Way, area executive vice president at Gallagher Construction Services, in a Gallagher analysis.
This shift also matters for businesses planning their future computing strategies. Capacity constraints in major markets can affect where workloads are hosted and how quickly computing facility companies can expand.
Computing facility growth is ultimately tied to physical infrastructure. Computing technology can advance rapidly, while substations, transmission lines, cooling plants, and major electrical equipment take much longer to build. Closing that timing gap will require earlier infrastructure planning and closer coordination between developers, utilities, equipment suppliers, and local authorities.
For leaders planning cloud infrastructure, the practical question is no longer just who can supply compute. Ask where that compute will get power, how it will shed heat, and whether the required equipment has a delivery slot. Check out the infographic below for more information.
