Environmental Impact of Data Centers

Abstract

The rapid proliferation of artificial intelligence has dramatically increased global demand for computing power, reshaping industries and accelerating the need for large-scale digital infrastructure. To meet this demand, technology companies have rapidly expanded data center development, often siting facilities in rural and suburban regions of the United States where land is cheaper, and zoning regulations are more permissive. Expansion supports innovation and economic growth; however, it also introduces significant issues for host communities. AI-driven data centers require enormous amounts of electricity and water, largely due to their reliance on graphic processing units (GPUs), which generate substantial heat. Cooling these systems requires significant water use, straining municipal water supplies and, in some cases, threatening the sustainability of local aquifers. These environmental pressures degrade local ecosystems and expose nearby populations to increased health risks. Data center expansion also carries important economic consequences for local communities, especially seen in Morrow County. The need to upgrade electrical grids, water systems, and other infrastructure often shifts costs onto taxpayers and ratepayers, while pollution-related health effects can create additional financial burdens through increased healthcare costs. This paper argues that while AI data centers enable technological progress and regional economic activity, they impose substantial environmental and economic trade-offs through infrastructure strain, resource overconsumption, and public health impacts. However, these outcomes are not inevitable; with stronger policy frameworks, sustainable technologies, and more equitable community agreements, it is possible to better balance the benefits of AI expansion with the well-being of the communities.

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