There is no shortage of power plants waiting to be built. There is a shortage of ways to connect them. That distinction is the whole story.
The debate over whether the U.S. can power AI usually gets framed as a generation problem — do we have enough electricity? The data says the real constraint sits one layer down, in the interconnection queue: the multi-year line every new power plant and battery must wait in before it can plug into the grid. Roughly 2,290 GW of capacity is queued today — far more than enough — but most of it will never get built, and what does will arrive years after the demand. Here is what the primary sources actually show.
Every credible forecaster agrees U.S. electricity demand is climbing after two flat decades, and that data centers are the driver. The EIA calls it the strongest four-year demand growth since 2000 — the first four straight years of growth since 2007 — projecting +1% in 2026 and +3% in 2027. Data centers used about 176 TWh (4.4% of U.S. electricity) in 2023, already more than double their 2018 level.
Where forecasters diverge is how high, how fast — and the spread is enormous. That disagreement, not any single number, is the honest headline.
Here is the counterintuitive core. As of end-2024, about 2,290 GW of generation and storage — some 10,300 projects — was seeking to connect to the U.S. grid, the queues covering ~98% of national capacity. That is multiples of what the buildout needs. The problem is throughput: the median time from interconnection request to switched-on has more than doubled, from under two years for projects built in 2000–07 to about five years for those built in 2023.
And the wait is only half of it. Most queued capacity is never built at all. Of everything that requested interconnection between 2000 and 2019, only 13% had been built by end-2024 — while 77% was withdrawn. The queue is an attrition filter, not a build pipeline.
For the first time in a decade, the queue actually shrank — total volume fell about 12% in 2024 as withdrawals outpaced new requests, with solar (−12%), storage (−13%) and wind (−26%) all down. One resource ran the other way: natural gas surged 72% to 136 GW. The queue is still ~95% clean by volume, but gas is the only major category growing — an early signal that developers are chasing firm, always-on power they can count on connecting.
On the supply side, the IEA's global outlook (to 2035) has renewables covering roughly half of data-center demand growth, with natural gas (notably in the U.S., ~+175 TWh) and nuclear each adding about the same, and the first small modular reactors arriving around 2030. But every one of those has a lead-time problem:
The fixes that need no new steel are the ones that work fastest: grid-enhancing technologies and advanced-conductor reconductoring can lift the capacity of lines already in the ground (per the U.S. DOE and GridLab), and making large new loads flexible — willing to curtail briefly at peaks — can free meaningful headroom on the existing grid. Those are the levers with the shortest path to a connected megawatt.
National averages hide the real risk, because the load concentrates. About half of U.S. data centers under development sit in pre-existing large clusters (IEA), stacking new demand onto grids already carrying it. Virginia is the extreme case — the only state where data centers already exceed 20% of electricity use, a share that could reach 39–57% by 2030 (EPRI) — and on EPRI's medium scenario, seven more states could cross 20% by decade's end. That geography is exactly what the regional maps track, market by market.
The full picture, mapped. The Gridlas report puts these forecasts, the queue data, and five regional deep-dives onto the grid — with high-res maps and the underlying dataset (CSV/GeoJSON), built entirely from public data.
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