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Home/Data Center Buildout
Data Center Buildout Model · updated monthly · data as of 2026-10-12

The US data-center build-out, mapped and modelled

Where AI data centers are being built, how much power they need, who is building them, and how much capacity comes online if the pipeline converts.

Operating49 GW3,172 facilities
Under construction70 GW400 projects
Planned276 GW1,199 projects
Construction spending$85B/yrAug 2026 · +73.2% y/y
Companies building1,725807 hyperscale sites
Pipeline (GW)0 · Circles: the ten largest markets, sized by pipeline. Click a state for detail.
The model

How much capacity comes online?

Move the sliders to set your own assumptions. Defaults are our base case.

Starts from capacity with published power figures today (49 GW operating, 70 GW building, 276 GW planned). Projects under construction come online over the next two years and planned projects from year three. Only about 44% of pipeline projects publish a power figure, so these are lower-bound scales, not forecasts.

The build-out is still mostly ahead of us

About 49 GW of US data centers with published power figures are running today, and 70 GW is already under construction. If what is being built gets finished, published operating capacity grows about 2.4 times. A further 276 GW is only planned.

Power, not demand, decides how much gets built

The planned pipeline (276 GW) is roughly 4 times what is under construction. Most planned projects are waiting for grid connections, turbines or transformers. That is why the suppliers of power equipment have multi-year backlogs, and why many projects on this list will be late or never built.

A few states carry the build-out

Texas, Virginia and Pennsylvania hold about 43% of the published pipeline. Local power prices, permitting and water decide where projects land, so utilities and contractors in these states see the orders first.

New names are building the biggest campuses

Several of the largest pipelines belong to companies with little or no operating capacity today (Tract, Fermi America, SB Energy, Creekstone Energy). Many are power-first developers. Their projects depend on financing, so watch credit conditions as closely as AI demand.

What it means for investors

More construction supports electrical equipment makers (transformers, switchgear, turbines), cooling suppliers and the contractors who build the halls. The main risks are projects that never convert from planned to built, rising power prices that bring political pushback, and developers that can't fund their plans.

Data center construction spending ($B, annual rate)

Money spent each month building US data centers (buildings, power and cooling, not servers), annualised. Source: US Census Bureau, Construction Spending (Value of Private Construction Put in Place, "Data center").

Power construction spending ($B, annual rate)

Power plants, transmission and substations: the grid the data centers need. Source: US Census Bureau, Total Construction Spending: Power (TLPWRCONS), via FRED.

Who is building the most

Pipeline GW
CompanyPipelineBuildingOperatingSites
Tract 19.42.00.029
Amazon AMZN 18.55.75.3263
Fermi America 17.00.00.01
SB Energy 11.42.20.03
Creekstone Energy 10.00.00.01
Meta META 9.05.95.648
Nscale Ltd. 8.00.00.01
New Era Energy & Digital 7.00.00.01
PowerHouse Data Centers 6.91.70.09
Google GOOGL 6.65.20.9103
Vantage Data Centers 5.43.60.753
Microsoft MSFT 5.21.63.8117
Energy Abundance 5.00.00.01
Sailfish Digital Ventures 5.00.00.01
Roswell Information Park LLC 5.00.00.01
TransGas Development Systems LLC 4.80.00.02
Homer City Redevelopment 4.54.50.01
Crusoe 4.32.80.29
QTS 4.10.62.099
Joule Capital Partners 4.00.00.01

Can be the operator, owner, developer or tenant. Companies without a ticker are private.

The big markets

Pipeline GW
MarketPipelineBuildingOperatingSites
Northern Virginia VA11.04.27.8461
Dallas–Fort Worth TX8.21.82.6197
Phoenix AZ8.00.81.8160
Atlanta GA7.40.61.7146
Chicago IL5.80.71.1139
Columbus OH2.31.30.799
Salt Lake City UT2.30.20.753
Silicon Valley CA1.30.11.0146
Las Vegas NV0.60.00.239
Portland–Hillsboro OR0.50.00.757

Top counties

CountyPipelineOperatingSites
Pecos County, TX7.80.57
Maricopa County, AZ6.51.8152
Hood County, TX6.50.35
Storey County, NV5.40.214
Caldwell County, TX5.10.05
Webb County, TX5.00.02
Louisa County, VA3.80.04
Lackawanna County, PA3.30.08
Loudoun County, VA3.25.4244
Coweta County, GA3.10.03
Lake County, IN3.00.012
Dallas County, TX2.90.5100

Every state

Sortable
StatePipeline GWBuilding GWOperating GWCurrent sitesHyperscalePower ¢/kWhWater stress
Texas93.119.5 10.5561716.1High
Virginia31.68.3 9.05911949Low
Pennsylvania23.18.1 0.313297.9Medium-High
Georgia19.81.2 2.5232217.2Medium-High
Utah19.30.2 0.769208.2High
Ohio17.63.8 1.2238547.1Medium-High
New Mexico15.72.5 0.42885.4High
West Virginia13.40.0 0.02787.8Medium-High
Arizona10.61.4 1.8176297.9Extremely High
Illinois10.61.9 1.316488.8High
Indiana8.64.1 1.6106398.1Medium-High
Kentucky7.90.9 0.345116.5Low
Nevada7.72.8 0.773148.6Low
New York6.10.4 0.6168189.2Low
Louisiana5.82.8 0.02885.6Low
Wyoming5.11.9 0.339228Extremely High
Missouri4.61.9 0.28887.9Low
Iowa4.41.4 1.867226.8Low
Oklahoma3.90.3 0.560185.8Medium-High
North Dakota3.41.0 1.53777.2Low
Alabama2.40.4 0.23187.3Low-Medium
California2.20.2 1.43431421.5Low-Medium
Michigan2.21.0 0.475158.3Low
South Carolina2.20.0 0.132106.9High
Kansas2.20.0 0.03607.7Low-Medium
North Carolina2.10.6 0.899107.8High
Nebraska2.10.0 0.55097.7Low
Arkansas2.10.4 0.02246.6Low
Maine2.00.0 0.015312.1Low
Colorado1.90.0 0.287108.6Extremely High
Maryland1.50.4 0.362129.9Low-Medium
Washington1.40.0 1.7117166.6Low-Medium
Minnesota1.40.4 0.189119.1Low
Wisconsin1.31.1 1.554158.5Medium-High
Montana1.30.0 0.11907.6Medium-High
Oregon1.20.1 2.3101308.1Low
Alaska1.10.0 0.020019.3Low
Florida0.80.0 0.114168.5High
New Jersey0.60.3 0.6103411.8Medium-High
South Dakota0.60.0 0.21748.3High
Mississippi0.40.2 1.136156.8Medium-High
Tennessee0.30.1 1.47496.2Low
Idaho0.10.0 0.22237.7Extremely High
Connecticut0.10.0 0.231617.1Low
Massachusetts0.00.0 0.156218.2Medium-High
Puerto Rico0.00.0 0.111023.7Low
Hawaii0.00.0 0.023034.1—
Delaware0.00.0 0.01619Medium-High
New Hampshire0.00.0 0.024016.2Low-Medium
Vermont0.00.0 0.09011.6Low
District of Columbia0.00.0 0.013010.8Low
Rhode Island0.00.0 0.014119.7Medium-High

Sources

Power totals combine published or announced figures, which use different measures (IT load, utility capacity, campus total) and count shared campus figures once. The model, map and commentary are by Singularity Research. Not investment advice.