According to research from Georgia Tech, the benefits of these facilities are determined more by the existing characteristics of the host community than by the facility itself.
The surge in artificial intelligence is driving a historic wave of capital investment across the United States, with more than 2,700 data centers currently active or under construction. While hyperscale facilities can cost over $1 billion to build, the actual local economic impact varies sharply based on geography, according to Daniel Yue and Yiyang Zeng of the Georgia Tech Scheller College of Business.
On average, the opening of a data center correlates with a measurable lift in the host county. Over the first three years, researchers found employment rises by approximately 0.9%, wages by 1.1%, business establishments by 1.0%, and household income by 0.7%, according to the Georgia Tech Scheller College of Business. Over a longer horizon, these impacts grow to 3.5% for employment, 5.0% for wages, 4.7% for business growth, and 1.9% for household income.
Why Metropolitan Hubs Capture More AI Investment Gains
The disparity between urban and rural outcomes is driven by “agglomeration,” a process where economic activity clusters together. Metro areas possess deep labor markets and established business networks that allow them to absorb the indirect spending generated by data centers. These facilities require a steady stream of construction contractors, engineers, and professional services that are readily available in cities.
High-wage technical employees moving into metropolitan areas further stimulate the local economy by supporting retail, restaurants, and other service industries. This creates a multiplier effect that amplifies the initial capital investment. In contrast, rural counties often lack the infrastructure to capture these secondary gains.
In non-metro areas, the researchers found few measurable gains in employment or new business growth. Data centers in rural settings typically employ a small permanent workforce, often fewer than 100 people. Because specialized services are frequently imported from outside the county, the investment rarely translates into broad wage growth for the local population.
The Impact on Electricity Prices and Infrastructure
The economic benefits of data centers come with a significant trade-off in energy consumption. A single large facility can consume as much electricity as roughly 80,000 homes. In areas where the researchers could cleanly measure price effects, electricity prices rose by about 5% following the entry of a data center, according to the Georgia Tech study.
Yiyang Zeng, a postdoctoral fellow at Georgia Tech, noted that when community benefits are small, the downsides—such as increased pressure on local infrastructure and higher power costs—are felt more acutely by residents. The distribution of these costs is not uniform and depends on state-specific cost-sharing systems.
Local utility companies determine how the costs of new infrastructure are split between homeowners, small businesses, and large industrial users. Because these arrangements vary, the financial burden of supporting a data center’s power needs may fall disproportionately on local ratepayers depending on the specific tariff structures in place.
Evaluating Local Incentive Packages
The research suggests that the sweeping job and wage growth often promised during recruitment efforts is unlikely to materialize in rural areas without specific, evidence-based planning. Local governments may still see a small decline in unemployment rates or an increase in tax revenue, but these are modest compared to the scale of the investment.
Zeng advises communities to look beyond “flashy, headline incentive packages” and focus on the technical details of agreements. Critical areas for scrutiny include tax abatement structures and electricity tariff arrangements to determine who ultimately pays for necessary infrastructure upgrades.
For metropolitan areas, data centers provide meaningful, though not transformative, economic gains. For rural leaders, the payoff is more complex, requiring a rigorous analysis of whether the local economy is equipped to capture any real value from the facility.
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