Loudoun County Confronts Data-Center Backlash After Reaping a Tax Windfall

Loudoun County, Virginia, built one of the world’s largest concentrations of data centers into a local fiscal engine. Now, as generative AI accelerates demand for computing infrastructure, residents are challenging the noise, transmission towers and other effects that arrived with that prosperity — even as new facilities continue to come.

The county contains about 250 data centers within a small portion of its roughly 515 square miles, the densest concentration in the world. Data centers helped shift Loudoun’s revenue mix: just over half of county tax revenue now comes from commercial sources, up from about 19% when economic-development official Buddy Rizer began pursuing the sector around 2007.

The result is a strong case for hosts seeking an expanded commercial tax base. Data-center tax revenue exceeded Loudoun’s operating budget by $35 million in 2024, and the revenue helped fund 22 new schools over the preceding 15 years. The residential real-property tax rate fell from about $1.29 to 80 cents per $100 of assessed value between 2008 and publication.

Loudoun’s experience also shows how a land-use decision can shape an infrastructure boom. Its first data center arrived in 1997. In 2000, local zoning classified data centers as office parks, allowing them to be built by right on land zoned for offices rather than through a more time-intensive regulatory review.

Permit growth followed. County data cited by The Verge shows 21 permits in 2018 and a peak of 25 in 2022. Rizer now says the county does not want more data centers, while wanting existing facilities to succeed and keep contributing to the community. But the county’s development pattern means additional facilities are still arriving.

The national buildout makes Loudoun’s tradeoff more consequential. The United States had about 3,000 operating data centers and another 1,500 in development, according to an April Pew Research Center analysis cited by The Verge. Generative AI is accelerating construction by increasing demand for compute, the processing power that requires physical server infrastructure.

The competing interpretations are not difficult to see. Loudoun demonstrates that data centers can finance services and reduce pressure on residential taxpayers. It also demonstrates that those broad fiscal gains do not resolve the direct burdens felt near facilities and new power infrastructure. New York and Texas have begun slowing new buildouts over grid-capacity concerns and the risk that residents would bear costs if technology companies alter their plans.

For communities considering AI infrastructure, Loudoun offers neither a simple warning nor a turnkey model. Its record establishes the potential public return from a concentrated commercial base. The unresolved question is whether prospective hosts can decide how to handle noise, transmission infrastructure and other local effects before their own buildouts become difficult to redirect.