Ann Davis Vaughan

Crusoe Energy, the data center developer building OpenAI's Stargate supercomputer facility in Abilene, Texas, is facing higher-than-expected costs and technical challenges integrating natural gas turbines with the AI infrastructure. Engineers have been working overtime to resolve compatibility issues between the power generation system and one of the most expensive AI supercomputers ever built. The project, part of OpenAI's broader Stargate computing initiative, is encountering obstacles that were not anticipated during initial planning.

Fervo Energy, a leader in enhanced geothermal systems, raised nearly $2 billion in its initial public offering. The funding positions the company to scale production and compete directly with natural gas as a power source for AI data centers. Enhanced geothermal technology, which uses drilling techniques borrowed from oil and gas to access heat from the earth, has become a focal point for solving the energy demands of large-scale AI infrastructure.

GridCare, a Stanford-backed startup, claims to have identified substantial hidden power capacity in existing U.S. grids by using AI to analyze siloed utility data and run simulations. The company argues that American power networks operate at only 30% utilization on average and could safely reach 60% through software optimization alone, potentially unlocking 300 gigawatts of already-paid-for capacity. GridCare has already helped enterprise AI services provider Gruve locate 150 megawatts in congested markets like Santa Clara and Seattle. The startup raised $13.5 million last year and is announcing a new funding round, but faces the historical challenge of convincing risk-averse utilities to adopt efficiency measures when they profit from building new capacity.