AI data center sites

217 data center and power sites in 46 countries, with local water stress, grid carbon intensity and recorded community objections for each. 68 are in basins rated high or extremely high for water stress.

Sites by status

StatusSitesCapacity
Operational15822.3 GW
Halted240 MW
Under construction2817.4 GW
Announced223.8 GW
Cancelled7n/a
Total21743.6 GW

Capacity is the full planned size of each site where reported or estimated; 144 of 217 sites have a figure, taken from company statements, permits or our estimates. Cancelled sites are listed but not counted in capacity. Coverage in China and Russia is less complete than elsewhere: operators there publish few site-level figures, so many sites have no capacity figure. Each site lists its sources and a confidence rating. See the methodology for how sites are selected.

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Largest sites

The ten largest sites by planned full capacity. Bar color shows status; most of this capacity is not yet built.

  1. Meta Platforms Inc. · Under construction · Richland Parish, Louisiana, US

  2. Amazon Web Services (Amazon.com Inc.) · Operational · Northern Indiana, US

  3. OpenAI Inc. · Under construction · Doña Ana County, New Mexico, US

  4. OpenAI Inc. · Under construction · Texas, US

  5. OpenAI Inc. · Operational · Texas, US

  6. OpenAI Inc. · Under construction · Texas, US

  7. Google (Alphabet Inc.) · Under construction · Andhra Pradesh, India

  8. Meta Platforms Inc. · Under construction · Texas, US

  9. Meta Platforms Inc. · Under construction · Central Indiana, US

  10. Meta Platforms Inc. · Under construction · Central Ohio, US

Sites in water-stressed basins

68 of 217 sites, about 6.4 GW of capacity, are in basins that WRI Aqueduct rates high or extremely high for baseline water stress.

Largest eight by capacity shown. Water stress is researcher-assigned per site from WRI Aqueduct 4.0; it describes the basin, not the facility's own draw.

Classification

Explicit AI Infrastructure
Purpose-built for AI training or inference workloads.
AI-Capable Hyperscale
General hyperscale data centers with significant AI workloads.
Associated Infrastructure
Substations, transmission, and power projects serving AI sites.

Environmental data

Water stress, grid carbon intensity and drought risk are assigned from published sources (WRI Aqueduct, EPA eGRID, IEA, China MEE, Ember). Each value shows its source and confidence tier.

What we do not claim

We do not attribute environmental harm to specific facilities. Community concern flags record events reported in public sources. They do not imply causation. See the methodology for full definitions.