The world's largest artificial intelligence data center is being built at a former Cold War uranium enrichment plant in Pike County, Ohio, powered by 18 small modular reactors and a $33 billion natural gas power facility. Japanese investment group SoftBank is funding the $1.5 trillion PORTS Technology Campus, which will employ 35,000 workers during construction and transform a contaminated industrial site into a beacon for AI infrastructure.

This project represents a dramatic shift in how the technology industry is solving its most pressing problem: the U.S. power grid simply cannot support the explosive growth of artificial intelligence. Data center power demand is projected to nearly triple to over 130 gigawatts by 2030, creating an energy bottleneck that threatens the entire digital economy. Rather than wait years for utility companies to expand the grid, hyperscalers like Microsoft, Amazon, and Google are taking matters into their own hands by building or securing their own power sources.

Why Is the Grid Struggling to Keep Up With AI Data Centers?

The problem is both immediate and structural. Grid interconnection timelines across the United States have stretched to three to seven years in many markets, far exceeding the 18 to 24 months it typically takes to construct a modern data center. In some major hubs, the situation is even more dire. Columbus, Ohio, currently faces interconnection timelines of up to 84 months, or seven years. A March 2026 survey by Bloom Energy found that time-to-power now runs roughly 1.5 to 2 years longer than previously expected across hyperscalers, colocation providers, and independent power producers.

The International Energy Agency has estimated that as many as 20 percent of planned data center projects may be delayed or canceled entirely if grid constraints go unaddressed. This creates a perverse incentive: every month of delayed energization represents compute capacity that cannot be monetized, amplifying the competitive cost of a grid-dependent strategy in a sector where market windows close quickly.

How Are Tech Giants Solving the Energy Crisis?

• Behind-the-Meter Generation: Companies are building or securing their own power plants located directly at data center sites, bypassing grid congestion entirely. Amazon Web Services pursued a behind-the-meter colocation arrangement at Talen Energy's Susquehanna Nuclear Plant in Pennsylvania, securing up to 300 megawatts of directly colocated capacity.
• Natural Gas as a Bridge: Conventional on-site power generation, particularly firm, baseload-ready gas plants, has emerged as a critical stepping stone. On-site turbines and reciprocating engines can be procured and commissioned in as little as 16 to 30 months, which aligns with the deployment cycles of hyperscale AI programs.
• Long-Term Nuclear Commitment: In the past year alone, giants like Microsoft, Amazon, and Google have collectively signed contracts for over 10 gigawatts of nuclear power capacity, recognizing that meeting gigawatt-scale demand requires an energy source that is both physically compact and capable of constant generation.

Meta has constructed 400 megawatts of dedicated natural gas generation that operates entirely independent of the grid to power its facilities, a clear signal that at hyperscale, grid dependence has become a strategic liability.

Why Is Pike County, Ohio, Embracing the Massive AI Data Center?

While AI data centers face nationwide backlash over concerns about water usage, power grid strain, noise, and air pollution, Pike County is welcoming the PORTS Technology Campus with open arms. The reason is straightforward: economic desperation and existing infrastructure. Pike County ranks third lowest in Ohio for per capita income, and the old Portsmouth Gaseous Diffusion Plant (PORTS) left behind critical assets that make the site ideal for massive industrial development.

The former uranium enrichment facility consumed 30,000 to 40,000 gallons of water per day, the same amount the gigantic AI data center is expected to need. More importantly, the power grid built for the Cold War plant provided an epic amount of electricity. Steve Shepherd, executive director of the Southern Ohio Diversification Initiative, noted that the old plant used 3 percent of the nation's electric supply, the same amount that New York City used.

"We dream big, but I don't know that anybody could dream this big," Shepherd said, reflecting on the scale of the new campus announcement.

Steve Shepherd, Executive Director of the Southern Ohio Diversification Initiative

The project also solves a lingering environmental problem. The PORTS site contains dozens of homes on properties riddled with unsafe levels of radioactive contamination from decades of uranium enrichment operations. While the contamination is too high for families to live on, it is safe for industrial use due to limited exposure and other factors considered by the U.S. Environmental Protection Agency. A dozen contaminated residential properties have already been purchased to make way for the expanding footprint of the future tech campus, converting contaminated land into appropriate industrial use.

What Does This Mean for the Future of AI Infrastructure?

The PORTS Technology Campus represents a fundamental shift in how the technology industry approaches energy security. Rather than waiting for utilities to solve the grid crisis, hyperscalers are building integrated solutions that combine natural gas generation for immediate capacity with long-term nuclear commitments for sustainable, zero-carbon power.

This transition requires new types of collaboration across infrastructure capital, conventional power developers, and nuclear innovators. The urgency is mathematical: regulators and utilities are pushing back against socializing the massive infrastructure costs of the AI boom through a framework called the "Ratepayer Protection Pledge." Technology leaders now face a new mandate to build, bring, or buy their own energy, or risk stalling their AI roadmap entirely.

The U.S. Department of Energy is spending $14 billion to $18 billion to decontaminate, dismantle, and dispose of the old equipment and buildings at PORTS. When combined with SoftBank's $1.5 trillion investment, the project demonstrates that brownfield industrial sites across America could be repurposed for AI infrastructure, creating jobs and economic revitalization in economically depressed regions.

"I think this is a model for the country," Shepherd said, suggesting that other former industrial sites could follow Pike County's blueprint for transformation.

Steve Shepherd, Executive Director of the Southern Ohio Diversification Initiative

As other parts of the country increasingly protest AI data centers, the Pike County project demonstrates that community support is possible when projects address local economic needs, leverage existing infrastructure, and solve environmental problems simultaneously. The challenge now is whether other regions can replicate this model or whether the AI energy crisis will continue to drive conflict between technology companies and communities unprepared for the scale of demand.