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Why are so many data centers being built?

Demand for computing keeps outgrowing the buildings that supply it. Cloud services, online media, mobile use, and now AI drive the buildout. It concentrates where power, land, network routes, and incentives line up.

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Quick summary: This guide explains what drives data-center construction, how fast it is growing, and where it concentrates. It is for landowners, residents, and local officials who want the reasons behind the projects. The key takeaway: the demand is real and fast, but announced pipelines overstate what will be built.

Why so many data centers are being built

Data centers are being built because demand for computing keeps rising faster than efficiency gains can absorb it. The International Energy Agency’s Energy and AI report names the drivers since about 2017: cloud computing, online media, social media, and AI. From 2005 to 2015, global internet traffic, mobile broadband subscriptions, and active social media accounts grew by more than 25 percent a year.

AI added a new layer. The agency’s 2026 update estimates that electricity use by AI-focused data centers grew 50 percent in 2025, against 17 percent for all data centers. It reports that the capacity of data centers designed specifically for AI more than tripled in 18 months.

Money follows the demand. The agency reports that capital spending by the largest technology companies passed 400 billion dollars in 2025. It expected that spending to rise another 75 percent in 2026. The capital spending of five technology companies now exceeds global investment in oil and gas production.

AI is still one workload among several. How much energy does AI use? shows its share of the electricity.

How fast the buildout is growing

The buildout is growing at double-digit rates, with wide ranges ahead. The Lawrence Berkeley National Laboratory estimates that United States data-center electricity rose 14 percent from 2023 to 2024. Its Reference Case projects 22 percent growth in 2025 and 29 percent in 2026. Its scenarios for 2030 run from 521 to 843 terawatt-hours.

The national grid shows the change. The Energy Information Administration reports that United States electricity demand grew about 1.7 percent a year from 2020 to 2025. From 2005 to 2019 it grew 0.1 percent a year. The agency names data centers as the driver.

Announced projects overstate what will be built. The International Energy Agency reports that the Texas grid’s queue of large-load requests, mostly data centers, grew from about 63 gigawatts in December 2024 to over 230 gigawatts by January 2026. The state’s all-time peak demand is 85 gigawatts. The Electric Power Research Institute treats announced megawatts as a pipeline indicator, not a near-term load.

How much electricity do data centers use? gives the full totals and ranges.

Where data centers are being built

Data centers are being built mostly in clusters, and the United States leads. The International Energy Agency’s 2026 update finds that the country holds about half of global installed capacity and about half of announced additions. A few states account for most of the growth.

The pattern differs by state. In Virginia and Ohio, nearly all planned capacity extends existing clusters. Northern Virginia remains the world’s most significant area for data-center development. Texas is forming new clusters near its large cities. Of 21 large AI campuses the agency tracked in the United States, 19 sit within 65 kilometers of a city of at least 100,000 people.

Local shares can grow large. The Electric Power Research Institute estimates that data centers use more than 25 percent of Virginia’s electricity today. It projects that up to seven more states could pass 20 percent by 2030.

The short version: Demand for cloud services, online media, and AI drives the buildout. Growth is fast but uncertain. It concentrates where power, land, network routes, and incentives already meet.

Why building concentrates where it does

Building concentrates where power, network infrastructure, customers, and incentives meet. The International Energy Agency names local demand for IT services, digital and energy infrastructure, and tax incentives. Established clusters offer strong grids, reliable power, skilled labor, and nearness to customers. In Texas, land and competitive power supply draw new clusters.

Developers now look farther afield for power. The Electric Power Research Institute reports that developers prioritize large amounts of power, available land, and faster permitting. Tax breaks and other incentives still play a key role in siting. The agency counts at least 37 states with data-center tax incentives in late 2025.

Power is the constraint. The agency reports that grid connections can take as long as five to ten years in many jurisdictions, and transformer lead times average two to three years. Some developers in the United States add on-site gas generation to start sooner. See A substation next door is not power and Behind-the-meter data centers: on-site power and what it asks of land.

North Carolina’s place in the buildout

North Carolina is part of the buildout, and its largest utility expects data centers to drive most new demand from development projects. The state’s Energy Policy Task Force reports that state electricity use rose 7 percent from 2005 to 2024. The utility’s forecast projects its North Carolina load to rise 16 to 60 percent over the next 15 years. Data centers make up 30 percent of the economic-development projects it tracks in the Carolinas, but 80 percent of their projected energy demand.

Why data centers are coming to North Carolina covers what draws operators to the state. Data centers in North Carolina: the announced projects, in one table lists the public announcements, county by county.

What could slow the buildout

Supply chains, financing, and local opposition could slow the buildout. The International Energy Agency reports a shortage of high-bandwidth memory for AI chips that could last until at least late 2027. Gas turbine deliveries can take around five years. Investors have grown more cautious that spending runs ahead of AI revenue.

Communities also push back. The agency notes rising local concern about affordability and the environment, and some projects have been cancelled or delayed. Are data centers bad? The objections, checked against the record checks those objections against public records.

Take action: If you own a large tract in North Carolina, find out whether the record reads it as a data-center site before the next buyer does. Start with Is your land a data-center site?

Key recap

  • Cloud computing, online media, social media, and AI drive data-center construction.
  • United States data-center electricity rose 14 percent from 2023 to 2024, and national scenarios for 2030 span a wide range.
  • Announced pipelines and connection queues overstate what will be built.
  • Building concentrates in clusters with power, network infrastructure, customers, and incentives, and it now spreads to places with power and land.
  • In North Carolina, data centers account for most of the projected energy demand from the largest utility’s development pipeline.

Questions

Why are so many data centers being built?

Demand for computing keeps rising faster than efficiency gains. Cloud services, online media, social media, and AI drive it, and the largest technology companies have raised their capital spending sharply.

Where are data centers being built?

Mostly in clusters. The United States holds about half of global capacity, and a few states, such as Virginia and Texas, account for most of its growth. Developers increasingly seek places with large amounts of power and land.

Will all announced data centers be built?

No. The International Energy Agency states that not all projects will come to fruition, and connection queues often overstate the demand that arrives.

Is North Carolina part of the data-center boom?

Yes. The state’s largest utility tracks data centers as 30 percent of its development projects in the Carolinas and 80 percent of their projected energy demand.

References

Primary sources cited on this page, in APA style.

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