The race to dominate artificial intelligence is no longer just about software and algorithms. It is now a battle for land, power, and infrastructure. When OpenAI hired Keith Heyde away from Meta, it signaled a major shift in priorities. Instead of focusing solely on model development, the company is investing heavily in the physical backbone required to power the next generation of AI systems. Heyde, now leading infrastructure efforts, has spent months scouting potential sites across the United States, evaluating locations that could host massive data centers capable of training advanced large language models.
At the center of this effort is Stargate, OpenAI’s ambitious plan to build a network of AI supercomputing hubs. The company has reviewed hundreds of proposals and narrowed its focus to a shortlist of high-potential sites across key regions. While tax incentives play a role, the most critical factors are access to reliable energy, scalability, and community support. As demand for AI computing surges, infrastructure has become a strategic priority equal to research and product innovation, marking a turning point in how tech companies compete in the AI era.
