# Interactive Map

Explore the geographic distribution of AI data centers across the United States. Visualize power consumption, facility counts, and regional patterns to understand the environmental impact of data infrastructure nationwide.

### State Info

### Did you know?

Virginia ranks 35th in land area and 12th in population, yet Northern Virginia is the world's largest data center market, processing an estimated 70% of global internet traffic.

### Energy In Perspective

The average U.S. home consumes about 10,791 kWh of electricity annually. Some large data centers can consume as much power as 80,000 households.

Source: U.S. EIA

### Top Consumers

Who owns these data centers?

## Datacenter Providers

The market is dominated by a few major players, with Amazon AWS leading in facility space. This concentration highlights the scale at which these tech giants operate compared to traditional colocation providers.

Many hyperscale facilities operate under shell companies or strict non-disclosure agreements to protect infrastructure details and competitive advantages.

### The "Stealth" Strategy

Major tech companies often use shell corporations (like "Raven Northbrook LLC" or "Stag Run LLC") to buy land and file permits. This secrecy prevents competitors from knowing their expansion plans and stops land prices from spiking before a deal is closed.

### Security Through Obscurity

Data centers are critical infrastructure. Keeping ownership details private helps protect physical assets from targeted attacks. If bad actors don't know which building houses a specific company's servers, the risk is reduced.

### NDA Culture

Construction firms, power providers, and local governments are often bound by strict Non-Disclosure Agreements (NDAs). Even public records may redact the ultimate beneficiary's name, listing only a generic LLC instead.

### The Scale of Secrecy

The sheer volume of "Company Not Disclosed" capacity suggests that the market share of giants like Amazon, Microsoft, and Google is even larger than reported. Much of this "hidden" capacity likely belongs to them.

What will these numbers look like in the future?

## Datacenter Project Stages

Understanding the development pipeline reveals how much capacity is already operational versus what's coming online. The majority of facilities are active, but a significant portion is still in construction or announced stages, indicating continued growth.

Core Data Assertions

## Core Data Assertions

Key findings from our analysis of U.S. data center infrastructure reveal important patterns about concentration, development, and transparency.

### Power Capacity Is Highly Concentrated

U.S. data center power capacity is highly concentrated in a small number of states, far beyond what facility counts alone would suggest.

Power demand doesn't scale proportionally with facility count. Virginia accounts for 57,866 MW across 1,079 facilities, while Texas contributes 51,960 MW—after which capacity drops sharply. Large-scale, high-capacity facilities cluster in specific regions, making power capacity a more meaningful measure of infrastructure impact than geographic presence alone.

Where this conclusion comes from:

Choropleth map (Total Power in MW), State hover tooltips

### Infrastructure Still in Development

A significant portion of data center infrastructure is still in development, indicating ongoing expansion.

Many facilities are labeled as Announced or Under Construction alongside Active ones, meaning current operational capacity represents only a partial view of total planned infrastructure. As these facilities come online, the concentration patterns observed today are likely to intensify rather than dissipate.

Where this conclusion comes from:

"Datacenter Project Stages" donut chart

### Limited Provider Transparency

Data center infrastructure is controlled by a relatively small set of providers, with limited transparency.

A small number of providers account for a large share of facility space, but "Company Not Disclosed" appears as the largest category. This structural lack of transparency limits accountability analysis—while control appears concentrated, attribution remains incomplete.

Where this conclusion comes from:

"Datacenter Providers" bar chart

Discover Datacenters Near Me

Explore data centers near you

## Filter & Search

Filters use the first dataset from the Data page. Results show matching facilities with basic attributes and links out when available. Use this to find data centers in your area or with certain criteria.

Name contains
State (code or name)
Min Power (MW)
Max Power (MW)
Loading dataset…
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### Why This Matters