The United States has reached a new milestone in artificial intelligence infrastructure, with data centers now exceeding 17 gigawatts (GW) of total capacity at a single Texas campus. The development, part of a broader national expansion, reflects the accelerating demand for computing power driven by AI applications in healthcare, finance, and urban infrastructure.
In Ohio, another major project is underway with up to 10 GW of planned capacity, largely contracted by OpenAI. These facilities, which require vast amounts of electricity and advanced cooling systems, are reshaping local economies and energy grids. According to the 2025 US Data Center Energy Usage Report from Berkeley Lab, data centers are projected to consume 11.8% of U.S. electricity by 2030, up from 4.4% in 2023.
The rapid expansion has prompted concerns from residents in states like Texas, Utah, and New York, where communities have raised issues over noise pollution, property values, and strain on local utilities. In response, some local governments have taken action: New York has temporarily paused new large-scale data center construction, while other regions are negotiating stricter oversight measures.
Industry leaders, including Oracle, SB Energy, xAI, Google, and Meta, are among the primary developers driving these projects. The AI Infrastructure Coalition, representing stakeholders across the AI tech stack, has outlined five Community Principles to guide development, emphasizing collaboration with host communities on land use, water consumption, job creation, and energy costs.
Energy consumption and sustainability concerns
Data centers now account for nearly 40% of global data center electricity use, consuming 313 terawatt-hours (TWh) in 2025—more than the entire country of Australia. The Energy Institute’s 2026 Statistical Review of World Energy highlights the growing strain on power grids, particularly in rural areas where many facilities are located. The Berkeley Lab report projects that by 2030, data centers will require 11.8% of U.S. electricity, a significant increase from current levels.
Local opposition and regulatory responses
Residents in affected communities have organized to voice concerns over increased noise, traffic congestion, and potential declines in property values. In Utah, local officials have faced pressure to impose moratoriums on new projects, while in Texas, some municipalities have pushed for stricter zoning laws. The AI Infrastructure Coalition has responded by committing to transparency and community engagement, though critics argue that voluntary guidelines may not be sufficient to address all concerns.
Economic and geopolitical implications
Proponents argue that expanding data center infrastructure is critical to maintaining U.S. leadership in AI amid competition with China. They point to AI applications such as early cancer detection, fraud prevention, and traffic optimization as evidence of the technology’s societal benefits. The coalition emphasizes that these projects create jobs, attract investment, and enhance national competitiveness, while also acknowledging the need for responsible development.
Future outlook
As the AI industry continues to grow, the demand for data center capacity is expected to rise. Industry analysts suggest that over 1,500 new data centers are under development nationwide, with many located in rural and semi-rural areas. The balance between economic growth, technological advancement, and community impact will likely remain a key debate in the coming years.