DOE Announces Planned $100 Billion Paducah Energy Hub with 1.8 GW AI/HPC Data Center Campus
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The US Department of Energy has announced a planned $100 billion private investment to redevelop the former Paducah Gaseous Diffusion Plant in western Kentucky as the Paducah American Energy Hub. Brookfield Asset Management has been selected for a planned 1.8 GW AI and HPC data center campus, while NextEra Energy is expected to develop dedicated gas generation and battery storage.
- The Paducah American Energy Hub has been announced as a planned redevelopment in western Kentucky, not an operating facility.
- The planned total-project data center campus is 1.8 GW for AI and HPC, with Brookfield Asset Management selected to build it.
- NextEra Energy is expected to develop 2 GW of gas generation and 2.6 GW of battery storage.
- The proposal targets phased expansion toward 2032 and includes dedicated power supply, potential grid exports and closed-loop cooling.
- The project remains subject to development, financing, technical, regulatory and grid-related conditions.
The US Department of Energy has presented the Paducah American Energy Hub, a planned redevelopment of the former Paducah Gaseous Diffusion Plant in western Kentucky. The initiative is described as a phased AI and HPC data center development supported by dedicated energy infrastructure, with expansion targeted toward 2032.
The announced total-project private investment is $100 billion. Brookfield Asset Management has been selected to build a planned 1.8 GW AI and HPC data center campus. NextEra Energy is expected to develop 2 GW of gas-fired generation and 2.6 GW of battery energy storage for the energy component of the project.
The proposed configuration includes dedicated power supply, with potential for surplus energy to be returned to the regional grid, as well as a closed-loop cooling system. The source also cites approximately 8,000 construction jobs and 600 permanent operational positions.
For the data center market, the project points to a potential development model in which large AI loads are paired with purpose-built generation and storage at the same site. If the stated parameters are realised, this approach could reduce exposure to regional grid constraints while making grid integration and water-efficient cooling central considerations in site selection.
The initiative remains an announcement and development plan. The available material does not confirm construction start, committed financing, commissioning, completion of any phase, or delivery of the announced data center, generation or storage capacities.
The proposal combines a large AI/HPC campus with on-site generation and energy storage, reflecting the growing importance of power-secured sites for large-scale data center loads. If delivered as proposed, it could illustrate how dedicated supply, grid integration and closed-loop cooling are being incorporated into AI-campus development where regional grid constraints are a consideration.
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