Pike County pivots from nuclear legacy to AI infrastructure

Pike County, Ohio, is poised to host the world’s largest artificial intelligence data center, transforming the footprint of a Cold War-era uranium enrichment facility into a massive technology campus. On March 20, federal officials and local leaders announced the project at the former Portsmouth Gaseous Diffusion Plant, signaling a shift from nuclear production to high-density computing infrastructure.

The project represents a significant industrial undertaking, incorporating a $33 billion natural gas-powered plant alongside 18 small modular reactors to meet the immense energy demands of the facility. Assistant Secretary of Environmental Management Tim Walsh described the initiative as a strategic move to establish domestic leadership in the global technology sector.

Secretary Wright emphasized the scale of the endeavor, noting that the facility is intended to be larger than any comparable campus in global history. Projections suggest that 35,000 workers will be required to construct the site, which proponents argue will attract significant capital inflow to the Appalachian region.

The site selection leverages existing infrastructure originally built to support uranium enrichment, including access to high-capacity power grids and water systems. Steve Shepherd, executive director of the Southern Ohio Diversification Initiative, stated that the location is a perfect fit due to these pre-existing utility assets that once supported massive industrial operations.

The U.S. Department of Energy is currently overseeing a $14 billion to $18 billion effort to decontaminate the property, which served as a nuclear production hub until the early 2000s. Jennifer Chandler, chair of the Scioto Valley-Piketon Area Council of Governments, noted that the transition to industrial use provides a practical solution for land that remains unsafe for residential occupancy.

Local residents, such as employee Stephen Woloschek, view the development as a source of long-term employment for an area that currently ranks third lowest in Ohio for per capita income. The project has already facilitated the acquisition of several contaminated residential properties, allowing for the expansion of the campus footprint and the relocation of families from unsafe environments.

While many regions across the United States are witnessing vocal opposition to the rapid expansion of AI data centers, Pike County residents and leadership have expressed broad support for the initiative. Residents and officials in other parts of the country have raised concerns regarding the potential for resource depletion, grid instability, and noise pollution associated with these facilities.

The contrast between the national climate of dissent and the local reception in Pike County highlights the complex trade-offs inherent in large-scale industrial redevelopment. For communities struggling with the legacy of brownfield sites, the conversion of contaminated land into a hub for emerging technology offers a potential pathway toward regional economic stabilization.

The project functions as a primary model for evaluating whether the massive energy and water requirements of modern AI can be successfully integrated into repurposed industrial zones. Stakeholders will monitor the environmental impact of the power generation plans as the campus moves toward full operational capacity.

This initiative underscores the tension between the urgent need for new digital infrastructure and the environmental considerations of local land use. By utilizing a site already designated for industrial remediation, the project planners aim to mitigate the footprint of new development while addressing the specific economic needs of an Appalachian community that has faced decades of industrial decline.

Future milestones for the site will center on the completion of the decontamination process and the deployment of the proposed modular reactors. The success of this transition may determine if other decommissioned federal sites across the nation follow a similar trajectory toward becoming centers for artificial intelligence.