aceEnvironmental impact and net-zero pathways for sustainable artificial intelligence servers in the USA
The rapidly increasing demand for generative artificial intelligence (AI) models requires extensive server installation with sustainability implications in terms of the compound energy–water–climate impacts. Here we show that the deployment of AI servers across the United States could generate an annual water footprint ranging from 731 to 1,125 million m3 and additional annual carbon emissions from 24 to 44 Mt CO2-equivalent between 2024 and 2030, depending on the scale of expansion. Other factors, such as indus…
Adopting best practices for AI servers in the USA could cut projected carbon emissions by up to 73% and water footprints by up to 86% between 2024 and 2030.
Large-scale deployment of AI servers across the United States is projected to create 731 to 1,125 million m3 of annual water use and 24 to 44 Mt CO2-equivalent of additional annual carbon emissions between 2024 and 2030, jeopardizing net-zero goals.
Projections carry deep uncertainties from efficiency initiatives, grid decarbonization rates, and where servers are sited, and mitigation effectiveness is limited by existing energy infrastructure and reliance on uncertain offsets.
Evidence
- Peer-reviewedNature Sustainability2025-11-10
How should this claim be treated?
Truvace Impact Record TRV-2026-0474, v1: “Environmental impact and net-zero pathways for sustainable artificial intelligence servers in the USA.” Truvace, 2026-07-22. /record/TRV-2026-0474 (accessed at citation time). sha256 43180c5436895ed9…
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