When it comes to total water use, AI data centers are a drop in the bucket

2026-06-12 · Source: AI - Ars Technica · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, AI Sustainability & Environmental Impact · Depth: Fundamental Awareness, short

Summary

A new report from Amazon, supported by data from Google, Microsoft, and Meta, indicates that while AI data centers consume billions of gallons of water annually, their aggregate usage remains a small fraction of overall national and global water consumption. Amazon claims its data centers withdrew about 2.5 billion gallons globally in 2025, a figure dwarfed by the 117 trillion gallons withdrawn in the US alone in 2015, or the 3.3 trillion gallons used for US lawns. However, despite the relatively low global impact, individual data centers can severely strain local water supplies, with examples like a Meta facility using 10% of Newton County, Georgia's water. Tech companies are responding by implementing efficiency measures, such as Amazon running data centers hotter, and funding water stewardship projects, like Google's 165 initiatives aiming to replenish 19 billion gallons annually by 2030.

Key takeaway

For urban planners and local government officials evaluating new data center proposals, recognize that while global water impact is minimal, local water infrastructure faces significant strain. Prioritize detailed assessments of regional water availability and scarcity before approving projects. Your due diligence should include requiring data centers to commit to water-efficient cooling and local replenishment initiatives to ensure sustainable community resource management.

Key insights

AI data center water use is globally minor but locally significant, prompting corporate stewardship.

Principles

• Aggregate data center water use is negligible globally.
• Local water resources face disproportionate strain.
• Corporate water stewardship initiatives are increasing.

Method

Tech companies are implementing strategies like running data centers hotter for cooling efficiency and funding local water replenishment projects to mitigate environmental impact.

In practice

• Compare local data center water use to regional supply.
• Evaluate data center locations for water scarcity.
• Invest in water-efficient cooling technologies.

Topics

• Data Center Water Usage
• AI Infrastructure
• Water Scarcity
• Corporate Sustainability
• Environmental Impact
• Local Resource Management

Best for: CTO, VP of Engineering/Data, Executive, General Interest, Tech Journalist, Policy Maker

Related on AIssential

• Can you explain to me the hatred of AI and its water usage? — AI's water usage controversy centers on data center cooling demands in water-stressed regions, impacting local communities.
• The Cloud Is Not Weightless — AI's substantial and often hidden water footprint is a structural feature of the AI economy, accelerating climate stress.
• UNU-INWEH: By 2030, global data-centre electricity use could nearly double to 945 TWh, with water impacts comparable to the basic annual domestic needs of 1.3 billion people in Sub-Saharan Africa. — AI's environmental footprint extends beyond carbon, encompassing vast electricity, water, land, and e-waste, driven largely by inference.
• Big Tech Will Not Save Us From the Climate Crisis — Big Tech's AI-driven data center expansion threatens climate goals and local environments through immense energy and water consumption.
• "We pissed off a lot of people": Giant data center plan cut 50% amid protests — Intense public backlash over environmental concerns is forcing data center developers to significantly scale back projects.
• This Datacenter Problem Nobody's Talking About — A proposed US data center moratorium aims to address energy costs, environmental impact, and societal risks associated with AI growth.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by AI - Ars Technica.