Where AI data centers are being built, the power they need, and the grid bottlenecks standing in the way.
2026 edition · Built from public EIA, LBNL & ERCOT data.
The 8 findings, the chart that explains the AI power crunch, and a preview of the regional race.
Where the AI buildout meets the grid — in under half a minute. Sound on.
For most of the last decade the binding constraint on large-scale computing was silicon. It isn't any more. What now determines where — and how fast — AI capacity gets built is electricity: how much a region has, how quickly new supply can be connected, and whether the transmission exists to move it.
The forecasts are converging — upward. LBNL's 2025 Update (June 2026) found data centers used 4.7% of U.S. electricity in 2024 and projects about 12% by 2030 (a 9.5–15.3% range), requiring roughly 148 GW of grid connections. EPRI's 2026 analysis lands in the same place: 9–17% by 2030, about 60% above its own 2024 estimate. The leading 2026 studies now span roughly 380–840 TWh a year in 2030, about a twofold spread. We still publish the range rather than pick a winner; every figure here traces to a public primary source and is documented in the methodology.
The U.S. is not short of proposed generation. It is short of connected generation. The median wait to plug a new project into the grid has more than doubled, to about 5 years (61 months for projects built in 2025). And most queued capacity is never built at all: of everything that requested interconnection between 2000 and 2020, just 13% is operating, while about 75% was withdrawn. The queue behaves as an attrition filter, not a build pipeline. Compute scales in months; interconnection scales in years. Read the full breakdown →
Supply is spread across 2,459 utility-scale plants, but demand concentrates. Northern Virginia alone operates about 4,500 MW — more data-center capacity than any market on Earth. In Texas, roughly 474 GW sits in the ERCOT large-load queue, around 90% of it data centers, and under 1% of it is actually drawing power. Those are the grids where the collision happens first. See all 16 regional deep-dives →
Rather than wait out the queue, developers increasingly route around it — behind-the-meter gas, nuclear power purchase agreements and restarts, and small modular reactors. The queue's composition is shifting to match: total volume fell about 10% in 2025 as withdrawals outpaced new requests, even as natural gas requests surged 86% to 253 GW. How the workarounds actually work → And there is a second constraint behind the first — cooling water, much of it demanded in already high-water-stress regions.
New to the terminology? The glossary defines interconnection queue, behind-the-meter, PUE, WUE, curtailment and more — in plain English, with sources.
36 pages of maps, data, and analysis — every figure sourced.
The top 15 metros, mapped and ranked — from Northern Virginia to the inland breakout markets.
Gas, nuclear & SMRs, solar-plus-storage — and the on-site generation boom.
Queue sizes, wait times, and why "queued" is nowhere near "built."
Texas, Virginia, Arizona, Ohio & Georgia — each with a map, stats, and risk rating.
Five scenarios for where the next wave of capital and capacity lands.
Every figure traced to its public primary source (EIA, LBNL, ERCOT, CBRE), so you can check it yourself.

Supply is everywhere — 2,459 utility-scale plants — but demand concentrates onto specific, already-stressed grids. The full report breaks down every market, queue, and scenario.
Get the free summary →We publish our analysis in the open, every figure cited. Three deep-dives — a preview of the rigor behind the report.
Interactive: enter a facility size and U.S. market, and see its power draw, homes-equivalent, grid wait and water footprint instantly — computed from public EIA / LBNL figures.
Try the free tool →Why the real limit on AI isn't power plants — it's the interconnection queue, where median waits for new power plants more than doubled to ~5 years and ~75% of proposed capacity is withdrawn.
Read the analysis →How the buildout routes around years-long grid waits — behind-the-meter gas, nuclear restarts, and SMRs. The deals, megawatts and dates, primary-source cited.
Read the analysis →The constraint with no workaround. Cooling water intensity, hyperscaler use, and why ~2/3 of new U.S. data centers sit in high-water-stress areas.
Read the analysis →Plus 16 regional deep-dives — Northern Virginia, Texas, Phoenix, Memphis, Salt Lake City, Reno and more.
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