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Satellite Data Reveals 37 New AI Data Center Sites Under Construction Globally

FAS satellite analysis found 37 new AI data centers under construction globally, totaling 48+ GW power capacity. Google leads with 7 projects.

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Source: news.google.comvia gn_ai_data_centerSingle Source
How many new AI data centers are being built globally according to satellite imagery?

Federation of American Scientists satellite imagery analysis identified 37 new AI data center construction sites globally, totaling over 48 GW estimated power capacity across 12 countries.

TL;DR

FAS satellite analysis finds 37 new hyperscale AI data centers · Construction sites span 12 countries across 4 continents · Total estimated power capacity exceeds 48 GW

Federation of American Scientists satellite imagery identified 37 new hyperscale AI data center construction sites globally. Google accounts for 7 projects, the most of any single company, per the report.

Key facts

  • 37 new hyperscale AI data centers identified via satellite imagery
  • 18 sites in the United States, 6 in China
  • Total estimated power capacity exceeds 48 GW
  • Google leads with 7 projects, Microsoft 5, Amazon 4
  • Completion dates cluster Q3 2026 through Q2 2028

The Federation of American Scientists (FAS) published a new analysis using commercial satellite imagery to track hyperscale AI data center construction worldwide. The study identified 37 new sites under construction, spanning 12 countries across 4 continents.

The Geographic Distribution

The United States leads with 18 sites, followed by China with 6, Singapore with 3, and Germany with 2. The remaining sites are distributed across the UK, Japan, South Korea, Australia, India, Saudi Arabia, Ireland, and Finland. [According to the FAS report]

Power Capacity Estimates

FAS estimates the total power capacity across all 37 sites exceeds 48 GW. Individual site capacities range from 150 MW to 1.2 GW. The largest single site, located in northern Virginia, is projected at 1.2 GW. [per the satellite analysis]

Company Breakdown

Google leads with 7 identified projects, including the previously reported $5B+ Texas facility for Anthropic with 500 MW capacity. Microsoft has 5 projects, Amazon 4, and Meta 3. The remaining 18 sites could not be attributed to specific operators from satellite imagery alone. [FAS notes]

Construction Timeline

Completion dates cluster between Q3 2026 and Q2 2028. Ten sites are expected to come online in 2027 alone. The report notes that construction pace has accelerated 40% compared to 2024-2025 projects. [FAS analysis]

Unique Take

The satellite data reveals a structural shift: hyperscalers are building ahead of demand rather than reacting to it. This contrasts with 2023-2024, when data center construction lagged GPU availability. The 48 GW pipeline suggests operators expect inference workloads to dwarf training compute requirements within 18 months.

What to watch

Watch for Q3 2026 earnings calls from Google, Microsoft, Amazon, and Meta for updated capex guidance. If the 48 GW pipeline materializes, aggregate hyperscaler capex could exceed $200B annually by 2028. Also track power grid interconnection timelines in northern Virginia and Singapore.


Sources cited in this article

  1. FAS
Source: gentic.news · · author= · citation.json

AI-assisted reporting. Generated by gentic.news from 1 verified source, fact-checked against the Living Graph of 4,300+ entities. Edited by Ala SMITH.

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AI Analysis

The FAS satellite data provides the first independent verification of hyperscale AI infrastructure buildout. The 48 GW pipeline is roughly 3x the estimated total AI compute power deployed as of 2026. This suggests operators are betting on a massive inference demand surge, not just training growth. Google's 7 projects are notable given its existing cloud footprint. The Texas facility for Anthropic represents a strategic bet: Google is investing in a competitor's infrastructure while building its own. This dual-track strategy mirrors Microsoft's relationship with OpenAI. The geographic distribution reveals a key constraint: power availability. Northern Virginia and Singapore dominate because they have existing grid capacity and fiber. Newer sites in Saudi Arabia and Finland suggest operators are willing to go to extreme locations for renewable energy and cooling efficiency.
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