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A new ICF report finds US electricity demand could jump 39% by 2035, but the sharper constraint is whether transmission networks can actually deliver that power to fast-growing data center hubs.
Utilities and grid operators are moving to filter speculative AI megawatt requests from real demand, as FERC filings and regional grid reforms push for commitment-based forecasting over raw interconnection requests.
A data center's air-quality impact ranges from negligible to significant depending on its electricity mix, on-site generation practices, and fuel choices. Here is what the evidence actually shows.
Permitting delays and interconnection backlogs are pushing utilities and investors to acquire operating power plants rather than build new ones, as AI-driven electricity demand accelerates.
Planning documents from Georgia Power, Duke Energy, and Dominion Energy reveal three distinct approaches to filtering AI data center demand and prioritizing transmission investments.
The Sijbrandij Foundation has assembled 12 technology and energy partners to create a common framework for powering AI data centers, aiming to cut through the fragmented vendor landscape slowing deployments.
Brookfield Asset Management has grown its financing partnership with Bloom Energy fivefold, bundling capital with on-site fuel-cell generation to help AI developers bypass grid interconnection delays.
Google's 2026 Environmental Report reveals electricity demand jumped 37% last year, the largest annual increase in company history, while clean grid capacity continues to lag behind.
National Grid Ventures is investing $1.75 billion in power developer Joulent, which builds dedicated generation facilities adjacent to hyperscale AI campuses to bypass strained utility interconnection queues.
