AI Could Use as Much Water as 1.3 Billion People by 2030, U.N. Report Warns
A U.N. report warns that artificial intelligence could consume as much water as 1.3 billion people by 2030, raising concerns about resource sustainability. The report highlights the often-overlooked water and land footprints of AI's electricity use, which could exacerbate existing environmental challenges. It also points to a growing digital divide, where wealthier nations benefit from AI infrastructure while lower-income countries struggle to participate.
- ▪AI's water usage is projected to equal the basic domestic needs of 1.3 billion people in Sub-Saharan Africa by 2030.
- ▪Data centers are expected to consume 945 terawatt-hours of electricity by 2030, nearly triple the annual usage of Pakistan, Bangladesh, and Nigeria combined.
- ▪The report emphasizes that switching to cleaner energy sources may worsen water and land footprints, complicating sustainability efforts.
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| Original publisher | TIME — Top |
| Canonical URL | https://time.com/article/2026/06/03/ai-global-water-resources-un-report/ |
| Publication time | Wed, 03 Jun 2026 14:09:24 +0000 |
| Retrieval time | 2026-06-03T14:17:09.504Z |
| Last seen | 2026-06-03T14:17:09.504Z |
| Headline source | Publisher (no WeSearch rewrite) |
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| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
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| Cluster | eqGsJSeQ4ifz |
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| Publisher visit | Yes — open original |
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| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
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| Commercial reuse | May the content be reused commercially? | Not permitted |
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Opening excerpt (first ~120 words) tap to expand
The water used by artificial intelligence is expected to equal the needs of 1.3 billion people by 2030—threatening natural resources for billions around the world. That’s according to a new report from the United Nations University Institute for Water, Environment and Health (UNU-INWEH) which quantifies the carbon, water, and land footprints of AI's electricity use around the globe. The report finds that AI’s environmental cost is often mismeasured—focusing solely on carbon emissions.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at TIME — Top.
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