Utility regulators in Texas opened a fast-track review of transmission upgrades requested by hyperscale operators building AI training campuses outside Dallas and San Antonio. The projects promise thousands of construction jobs but have raised concerns among rural co-ops about reliability during peak summer heat when air-conditioning load already tests the ERCOT grid.
Developers told commissioners they are willing to fund substation expansions and on-site gas generation as interim capacity, while lobbying for federal CHIPS and energy-tax credits to offset capital costs. Environmental groups asked for transparent water-use disclosures, noting cooling demand for dense GPU clusters in arid counties.
In Northern Virginia — still the largest US data-center market — Dominion Energy outlined a phased build-out timeline tied to new 500 kV lines. Cloud providers said latency-sensitive AI inference workloads are driving demand for campus-scale sites closer to population centers, not just remote cheap-power locations.
Congressional staffers from both parties toured a pilot site where waste heat recovery feeds a nearby greenhouse consortium — an example local officials hope to replicate to win community support. Analysts said power availability is now as critical as fiber connectivity for US AI competitiveness versus Gulf and European hubs.
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