The rapid construction of data centers to support artificial intelligence is becoming one of the largest concentrations of capital spending in history. Amazon, Microsoft, Alphabet, and Meta are currently expected to spend more than $700 billion in capital expenditures during 2026 alone. Most data center spending is related to AI servers, networking, and data-center infrastructure. Bloomberg estimated spending by the largest data-center companies at nearly $750 billion this year.

More than 4,000 data centers already operate in the United States, while roughly 3,000 additional facilities are planned or under construction. Globally, more than 23 gigawatts of data-center computing capacity were under construction earlier in 2026, while roughly 915 hyperscale facilities were in planning or development.

Unlike earlier megaprojects, including railroads, dams, interstate highway systems or space programs, the data-center boom is not a single government project. Data centers are being constructed by private companies, and because the centers are spread out over many countries, no single government can control or regulate all of them. Axios has described the current American buildout as the largest capital project in history, reflecting the extraordinary amount of money and physical infrastructure now being devoted to computing…

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America dominates the largest facilities. Virginia, Texas, and Georgia lead in proposed projects: data compiled by Pew Research found 287 planned facilities in Virginia, 170 in Texas, and 141 in Georgia, followed by large pipelines in Illinois, Arizona, and Ohio. Northern Virginia remains the world’s largest established data-center market, while Texas, Atlanta, and other areas offering abundant land and electricity are expanding rapidly.

What makes the boom historically significant, however, is spending. Not all data-center capital goes into buildings. Microsoft and Alphabet, for example, devote much of their capital budgets to costly processors and servers, but American spending on data-center construction itself reached an annualized $59.3 billion in May, up 23 percent from a year earlier.

The beneficiaries stretch far beyond Silicon Valley. Nvidia and other semiconductor manufacturers have benefited from demand for AI processors, while construction companies, electricians, steel producers, cooling-system manufacturers, and power-equipment suppliers are receiving enormous orders. Reuters found companies including Generac, Siemens and Timken expanding production because of data-center demand; Generac alone accumulated a $1.6 billion backlog while investing $250 million in additional manufacturing capacity.

Economically data centers could provide the infrastructure for AI-driven productivity gains comparable to those created by electrification or the internet. But they are also redirecting capital, electricity, and skilled labor toward a relatively small number of technology companies.

Communities may receive construction jobs and tax revenue while discovering that enormous facilities employ relatively few people once completed. An average hyperscale site may require around 1,500 workers during construction but only about 50 afterward.

The International Energy Agency projects global data-center electricity consumption will more than double to roughly 945 terawatt-hours by 2030, with data centers accounting for nearly half of U.S. electricity-demand growth.

The data-center construction boom could represent the creation of a new physical foundation for the AI economy. Whoever controls that infrastructure may gain extraordinary economic and political power during the decades ahead. If the AI economy does not perform as expected, or if it collapses, it will represent the biggest investment bubble in history.

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