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.
How much capacity comes online?
Move the sliders to set your own assumptions. Defaults are our base case.
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| Company | Pipeline | Building | Operating | Sites |
|---|---|---|---|---|
| Tract | 19.4 | 2.0 | 0.0 | 29 |
| Amazon AMZN | 18.5 | 5.7 | 5.3 | 263 |
| Fermi America | 17.0 | 0.0 | 0.0 | 1 |
| SB Energy | 11.4 | 2.2 | 0.0 | 3 |
| Creekstone Energy | 10.0 | 0.0 | 0.0 | 1 |
| Meta META | 9.0 | 5.9 | 5.6 | 48 |
| Nscale Ltd. | 8.0 | 0.0 | 0.0 | 1 |
| New Era Energy & Digital | 7.0 | 0.0 | 0.0 | 1 |
| PowerHouse Data Centers | 6.9 | 1.7 | 0.0 | 9 |
| Google GOOGL | 6.6 | 5.2 | 0.9 | 103 |
| Vantage Data Centers | 5.4 | 3.6 | 0.7 | 53 |
| Microsoft MSFT | 5.2 | 1.6 | 3.8 | 117 |
| Energy Abundance | 5.0 | 0.0 | 0.0 | 1 |
| Sailfish Digital Ventures | 5.0 | 0.0 | 0.0 | 1 |
| Roswell Information Park LLC | 5.0 | 0.0 | 0.0 | 1 |
| TransGas Development Systems LLC | 4.8 | 0.0 | 0.0 | 2 |
| Homer City Redevelopment | 4.5 | 4.5 | 0.0 | 1 |
| Crusoe | 4.3 | 2.8 | 0.2 | 9 |
| QTS | 4.1 | 0.6 | 2.0 | 99 |
| Joule Capital Partners | 4.0 | 0.0 | 0.0 | 1 |
Can be the operator, owner, developer or tenant. Companies without a ticker are private.
The big markets
Pipeline GW| Market | Pipeline | Building | Operating | Sites |
|---|---|---|---|---|
| Northern Virginia VA | 11.0 | 4.2 | 7.8 | 461 |
| Dallas–Fort Worth TX | 8.2 | 1.8 | 2.6 | 197 |
| Phoenix AZ | 8.0 | 0.8 | 1.8 | 160 |
| Atlanta GA | 7.4 | 0.6 | 1.7 | 146 |
| Chicago IL | 5.8 | 0.7 | 1.1 | 139 |
| Columbus OH | 2.3 | 1.3 | 0.7 | 99 |
| Salt Lake City UT | 2.3 | 0.2 | 0.7 | 53 |
| Silicon Valley CA | 1.3 | 0.1 | 1.0 | 146 |
| Las Vegas NV | 0.6 | 0.0 | 0.2 | 39 |
| Portland–Hillsboro OR | 0.5 | 0.0 | 0.7 | 57 |
Top counties
| County | Pipeline | Operating | Sites |
|---|---|---|---|
| Pecos County, TX | 7.8 | 0.5 | 7 |
| Maricopa County, AZ | 6.5 | 1.8 | 152 |
| Hood County, TX | 6.5 | 0.3 | 5 |
| Storey County, NV | 5.4 | 0.2 | 14 |
| Caldwell County, TX | 5.1 | 0.0 | 5 |
| Webb County, TX | 5.0 | 0.0 | 2 |
| Louisa County, VA | 3.8 | 0.0 | 4 |
| Lackawanna County, PA | 3.3 | 0.0 | 8 |
| Loudoun County, VA | 3.2 | 5.4 | 244 |
| Coweta County, GA | 3.1 | 0.0 | 3 |
| Lake County, IN | 3.0 | 0.0 | 12 |
| Dallas County, TX | 2.9 | 0.5 | 100 |
Every state
Sortable| State | Pipeline GW | Building GW | Operating GW | Current sites | Hyperscale | Power ¢/kWh | Water stress |
|---|---|---|---|---|---|---|---|
| Texas | 93.1 | 19.5 | 10.5 | 561 | 71 | 6.1 | High |
| Virginia | 31.6 | 8.3 | 9.0 | 591 | 194 | 9 | Low |
| Pennsylvania | 23.1 | 8.1 | 0.3 | 132 | 9 | 7.9 | Medium-High |
| Georgia | 19.8 | 1.2 | 2.5 | 232 | 21 | 7.2 | Medium-High |
| Utah | 19.3 | 0.2 | 0.7 | 69 | 20 | 8.2 | High |
| Ohio | 17.6 | 3.8 | 1.2 | 238 | 54 | 7.1 | Medium-High |
| New Mexico | 15.7 | 2.5 | 0.4 | 28 | 8 | 5.4 | High |
| West Virginia | 13.4 | 0.0 | 0.0 | 27 | 8 | 7.8 | Medium-High |
| Arizona | 10.6 | 1.4 | 1.8 | 176 | 29 | 7.9 | Extremely High |
| Illinois | 10.6 | 1.9 | 1.3 | 164 | 8 | 8.8 | High |
| Indiana | 8.6 | 4.1 | 1.6 | 106 | 39 | 8.1 | Medium-High |
| Kentucky | 7.9 | 0.9 | 0.3 | 45 | 11 | 6.5 | Low |
| Nevada | 7.7 | 2.8 | 0.7 | 73 | 14 | 8.6 | Low |
| New York | 6.1 | 0.4 | 0.6 | 168 | 18 | 9.2 | Low |
| Louisiana | 5.8 | 2.8 | 0.0 | 28 | 8 | 5.6 | Low |
| Wyoming | 5.1 | 1.9 | 0.3 | 39 | 22 | 8 | Extremely High |
| Missouri | 4.6 | 1.9 | 0.2 | 88 | 8 | 7.9 | Low |
| Iowa | 4.4 | 1.4 | 1.8 | 67 | 22 | 6.8 | Low |
| Oklahoma | 3.9 | 0.3 | 0.5 | 60 | 18 | 5.8 | Medium-High |
| North Dakota | 3.4 | 1.0 | 1.5 | 37 | 7 | 7.2 | Low |
| Alabama | 2.4 | 0.4 | 0.2 | 31 | 8 | 7.3 | Low-Medium |
| California | 2.2 | 0.2 | 1.4 | 343 | 14 | 21.5 | Low-Medium |
| Michigan | 2.2 | 1.0 | 0.4 | 75 | 15 | 8.3 | Low |
| South Carolina | 2.2 | 0.0 | 0.1 | 32 | 10 | 6.9 | High |
| Kansas | 2.2 | 0.0 | 0.0 | 36 | 0 | 7.7 | Low-Medium |
| North Carolina | 2.1 | 0.6 | 0.8 | 99 | 10 | 7.8 | High |
| Nebraska | 2.1 | 0.0 | 0.5 | 50 | 9 | 7.7 | Low |
| Arkansas | 2.1 | 0.4 | 0.0 | 22 | 4 | 6.6 | Low |
| Maine | 2.0 | 0.0 | 0.0 | 15 | 3 | 12.1 | Low |
| Colorado | 1.9 | 0.0 | 0.2 | 87 | 10 | 8.6 | Extremely High |
| Maryland | 1.5 | 0.4 | 0.3 | 62 | 12 | 9.9 | Low-Medium |
| Washington | 1.4 | 0.0 | 1.7 | 117 | 16 | 6.6 | Low-Medium |
| Minnesota | 1.4 | 0.4 | 0.1 | 89 | 11 | 9.1 | Low |
| Wisconsin | 1.3 | 1.1 | 1.5 | 54 | 15 | 8.5 | Medium-High |
| Montana | 1.3 | 0.0 | 0.1 | 19 | 0 | 7.6 | Medium-High |
| Oregon | 1.2 | 0.1 | 2.3 | 101 | 30 | 8.1 | Low |
| Alaska | 1.1 | 0.0 | 0.0 | 20 | 0 | 19.3 | Low |
| Florida | 0.8 | 0.0 | 0.1 | 141 | 6 | 8.5 | High |
| New Jersey | 0.6 | 0.3 | 0.6 | 103 | 4 | 11.8 | Medium-High |
| South Dakota | 0.6 | 0.0 | 0.2 | 17 | 4 | 8.3 | High |
| Mississippi | 0.4 | 0.2 | 1.1 | 36 | 15 | 6.8 | Medium-High |
| Tennessee | 0.3 | 0.1 | 1.4 | 74 | 9 | 6.2 | Low |
| Idaho | 0.1 | 0.0 | 0.2 | 22 | 3 | 7.7 | Extremely High |
| Connecticut | 0.1 | 0.0 | 0.2 | 31 | 6 | 17.1 | Low |
| Massachusetts | 0.0 | 0.0 | 0.1 | 56 | 2 | 18.2 | Medium-High |
| Puerto Rico | 0.0 | 0.0 | 0.1 | 11 | 0 | 23.7 | Low |
| Hawaii | 0.0 | 0.0 | 0.0 | 23 | 0 | 34.1 | — |
| Delaware | 0.0 | 0.0 | 0.0 | 16 | 1 | 9 | Medium-High |
| New Hampshire | 0.0 | 0.0 | 0.0 | 24 | 0 | 16.2 | Low-Medium |
| Vermont | 0.0 | 0.0 | 0.0 | 9 | 0 | 11.6 | Low |
| District of Columbia | 0.0 | 0.0 | 0.0 | 13 | 0 | 10.8 | Low |
| Rhode Island | 0.0 | 0.0 | 0.0 | 14 | 1 | 19.7 | Medium-High |
Stocks most exposed to the build-out
Sources
- Facilities, pipeline, states, markets, counties and companies: US Data Center Map (dcmap.us), data as of 2026-10-12. Copied to our database once a month. Methodology.
- Data center construction spending: US Census Bureau, Construction Spending, Value of Private Construction Put in Place, seasonally adjusted annual rate, "Data center" line.
- Power construction spending: US Census Bureau, Total Construction Spending: Power (TLPWRCONS), via FRED, Federal Reserve Bank of St. Louis.
- County locations: US Census Bureau Gazetteer files (2024). State map: US Census Bureau cartographic boundaries.
- US electricity use (model comparison): about 4,100 TWh in 2024, US Energy Information Administration.
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.