Abstract
The rapid expansion of AI-driven data centers has transformed Northern Virginia into one of the most concentrated digital infrastructure hubs in the world, raising new questions about the environmental and social sustainability of large-scale computational development. While data centers are often framed as intangible components of the digital economy, they function as energy- and water-intensive industrial systems with measurable ecological and public health impacts. This study evaluates the environmental, economic, and social tradeoffs associated with AI-driven data center expansion through an interdisciplinary synthesis of environmental science literature, public health research, economic analyses, and regional policy documents. Using Northern Virginia as a case study, the analysis compares widely cited economic benefits against documented environmental costs including energy consumption, water use, land conversion, and air quality impacts.
Authors
- Ryan S. Nisay
- Shray Vij
- Enzo Garcia-Eguiluz
- Nawaf Shehzad
- Christian Shire
- Carter Lepuil
Research Division, Loudoun Nature Conservation Project
Full Paper (PDF)
Self-published, Loudoun Nature Conservation Project