Image: Envato/photocreo
The latest agreement between OpenAI and Oracle will expand Stargate’s data center capacity, ultimately surpassing the halfway point of their goal.
Oracle and OpenAI have announced a new agreement to expand Stargate’s U.S. data center capacity by 4.5 gigawatts, bringing the the total capacity to just over 5 gigawatts. This latest development marks a significant step toward OpenAI’s stated goal of reaching 10 gigawatts of capacity by 2029.
Stargate aims to position the U.S. as a dominant force in global AI development. The initiative is part of a broader national push supported by President Trump, who has publicly endorsed a $500 billion target for the project by 2029, according to The Wall Street Journal.
Achieving that scale, however, requires collaboration across major technology firms and international investors, not just government support.
Although conversations surrounding Stargate began as early as 2022, the project was formally announced in January 2025. It brings together multiple stakeholders from across the tech and investment landscape:
OpenAI and Oracle are responsible for much of Stargate’s underlying technology, but additional tech and support is provided by the following companies:
“We estimate that building, developing and operating the additional 4.5 GW of data center capacity we’re announcing today will create over 100,000 jobs across construction and operations roles in the US,” blog OpenAI said in a blog post.
With billions in funding, a coalition of global tech leaders, and government alignment, the Stargate Project is emerging as one of the most ambitious AI infrastructure initiatives in U.S. history. Its scale and scope aim not only to accelerate AI adoption domestically but also to influence the global AI landscape.
Catch up on how Stargate’s billion-dollar data center buildout is reshaping U.S.–UAE tech diplomacy — read our deep dive into OpenAI’s global infrastructure push.
J.R. Johnivan is a technology writer and computer repair professional with 20 years of experience. His work explores emerging technologies, including next-generation LLMs, their societal impact, and how they can improve professional workflows. He began writing while studying computer networking, eventually combining his passion for technology with a career in content. He also brings expertise in project management, HR, and CRM software, giving him a practical, business-focused perspective on today’s tech landscape.