Voters rejected AI data centers over resource concerns. Here's why measuring water usage is hard
- ID
- 43362
- Status
- summarized
- Published
- 06 Nov 2026, 2:52 AM
- Fetched
- 06 Nov 2026, 3:17 AM
- Provider
- CNBC Technology
- Category
- technology
- Original URL
- https://www.cnbc.com/2026/11/05/meta-spacex-ai-data-centers-use-millions-of-gallons-of-water-a-day.html
- Source URL
- https://www.cnbc.com/id/19854910/device/rss/rss.html
Summary
- Score
- 5.0
- Created
- 06 Nov 2026, 3:18 AM
- Tags
- Audience
- developersai_ml_learnerssaas_founders
What happened
Voters passed 40 of 41 ballot measures restricting data centers amid water and power concerns, with more than 2,000 new facilities planned. A 1-gigawatt AI data center can consume up to 10 million gallons of water per day, according to UC Riverside researcher Shaolei Ren, but operators typically report usage companywide rather than site by site. Liquid cooling cuts on-site water use while often increasing power draw, especially in hot climates.
Why it matters
If you buy AI or cloud capacity, treat 'low water' claims carefully: the article says site-level data is usually unavailable, and the water-vs-power tradeoff means a low-water design can still raise energy costs. There is no Malaysia-specific data in this piece; the practical move for local builders is to ask vendors for per-region power and water disclosures before locking in long-term GPU or SaaS infrastructure.
Discussion angle
Should AI cloud buyers demand per-site water and power data, given operators report usage companywide and the 40-of-41 ballot result shows resource constraints are becoming a siting issue?