Data Centers Water Footprint: The Need for More Transparency

IF 8.3 Q1 GEOSCIENCES, MULTIDISCIPLINARY AGU Advances Pub Date : 2026-02-27 DOI:10.1029/2025AV002140
Ana Pinheiro Privette, Ana Barros, Ximing Cai
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Abstract

The exponential growth of artificial intelligence (AI) has driven the rapid global expansion of data centers, raising serious concerns about their environmental impact—particularly water use. While national and global water consumption by data centers may seem modest compared to other users, their localized impacts can be significant—especially in regions already facing water stress or drought. This commentary examines the multi-faceted water footprint of data centers, encompassing direct cooling, electricity generation, and supply chain water demands. It highlights major gaps in transparency around how much water data centers use, which undermine effective regulation, innovation, and community planning. To ensure the sustainable growth of digital infrastructure and the preservation of water resources, comprehensive monitoring and public disclosure of water use are essential. Equally important are resilient water infrastructure planning and stronger collaboration between industry and communities.

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数据中心的水足迹:需要更多的透明度
人工智能(AI)的指数级增长推动了数据中心在全球的快速扩张,引发了人们对其环境影响的严重担忧,尤其是水资源的使用。虽然与其他用户相比,数据中心的国家和全球用水量似乎不大,但其局部影响可能很大,特别是在已经面临水压力或干旱的地区。这篇评论探讨了数据中心多方面的水足迹,包括直接冷却、发电和供应链用水需求。它强调了数据中心用水量透明度方面的主要差距,这破坏了有效的监管、创新和社区规划。为了确保数字基础设施的可持续发展和水资源的保护,全面监测和公开披露用水情况至关重要。同样重要的是有弹性的水利基础设施规划和加强行业与社区之间的合作。
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