OpenAI is significantly increasing its investment in artificial intelligence infrastructure. The company has announced plans to spend $750 billion by 2030, around 25% more than its earlier estimate. The massive investment highlights OpenAI’s long-term goal of building the computing power needed to support advanced AI models and future technologies.
A major part of this plan is Project Camellia, a new $20 billion data center campus in Georgia. The project will cover around 1,400 acres northwest of Savannah and is expected to become one of the largest AI infrastructure developments in the United States. According to OpenAI, the campus will require at least 3.2 gigawatts of electricity, with power expected to be available between 2028 and 2032.
OpenAI confirmed that it will cover the full cost of building the infrastructure and paying for electricity services. The company also agreed to reduce its power usage by up to 1 gigawatt during periods of high electricity demand to help reduce pressure on Georgia’s power grid.
The project has received a 50% property tax reduction for 15 years from Effingham County, making it an attractive location for the large-scale AI investment.
While OpenAI has not revealed exactly how the new data center will be powered, regulatory documents suggest that Georgia Power plans to expand its electricity generation using a mix of natural gas, solar energy, and battery storage. However, environmental groups have raised concerns because a large portion of the additional power is expected to come from natural gas.
OpenAI has not announced when the first AI chips or GPUs will begin operating at Project Camellia. However, the company recently hired Brett Mayo, who previously led construction of xAI’s Colossus data center, to oversee future data center projects.
With demand for artificial intelligence growing rapidly, OpenAI’s $750 billion infrastructure plan marks one of the largest AI investments ever announced. The project reflects the increasing need for powerful data centers while also raising important questions about energy use, sustainability, and the future of AI development.
