Scientific Paper · source-verified

How Much Water Does AI Consume? The Public Deserves to Know

Shaolei Ren · 2023-11-30

AI drives scientific progress and business growth but depends on vast data and computational resources, raising sustainability concerns.

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Shaolei Ren. 2023-11-30. How Much Water Does AI Consume? The Public Deserves to Know. https://oecd.ai/en/wonk/how-much-water-does-ai-consume (AI & Environment Resource Hub; record paper-006; collection snapshot 2026-09-15).

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Available source metadata

Author or creator
Shaolei Ren
Publisher
OECD x GPAI
Publication date
2023-11-30
Date precision
day
Geographic scope
Unknown
Language
unknown
Peer review
unknown
Source status
verified
Last verified
2026-09-15T16:44:20.088Z
Snapshot import
2026-09-06
Legacy domain
Water & Oceans
Legacy subdomain
AI’s Water Footprint in Data Centers
journal
OECD x GPAI

Provenance and review

Source sheet: Scientific Paper · Row 10 · Original ID: paper-006.

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A paper listing is not a quality assessment. Peer review and findings require source-level confirmation. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. The import date is not the original date added.

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Related through shared environmental topics

Ordered by the number of shared provisional topic labels. This indicates a browsing connection, not agreement between sources.

Shared topics: Cross-cutting sustainability; Water; Oceans and coasts; Built environment and infrastructure

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Multimedia · 2026-06-25

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youtube.com

Shared topics: Cross-cutting sustainability; Water; Oceans and coasts; Built environment and infrastructure

Podcast · 2024-01-23

AI's Water Usage with Professor Shoalei Ren

In this episode, we’re taking a deep dive into the use of water in AI computing in traditional data center models, and some of the looming questions concerning AI’s sustainability.

Source metadata available

Shared topics: Cross-cutting sustainability; Water; Oceans and coasts; Built environment and infrastructure

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European Digital Twin Ocean (EDITO)

Welcome to the core infrastructure of the European Digital Twin Ocean. EDITO offers cutting edge tools to develop digital twins, support science-based decision making, and ensure maximum impact for research and innovation actions across the key objectives of the EU Mission Ocean & Waters: protect biodiversity, stop marine pollution, and support a sustainable blue economy.

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