OpenAI has agreed to secure roughly 8 gigawatts of capacity at the PORTS-Pike Technology Campus in Pike County, Ohio, working alongside SB Energy, NVIDIA and the US Department of Energy.

The site sits on land connected to the former Portsmouth gaseous diffusion plant, with the first 800 megawatts expected to come online in 2028 using existing grid infrastructure. Further expansion will require new power plants, including natural gas generation, along with additional transmission capacity. SB Energy will build, own and operate the data centre under a 20-year lease, with OpenAI as the customer and NVIDIA supplying the compute hardware. NVIDIA is also investing $1.5 billion directly in SB Energy and backing the initial phase of construction.

OpenAI says the project will fund its own energy and infrastructure costs rather than passing them to local ratepayers, and will use closed-loop, air-cooled systems to limit water consumption. The company is pledging $40 million toward a community grant fund shaped by local priorities, on top of a matching $40 million already committed by SB Energy, and up to $84 million in Codex credits for eligible Ohio college students.

The buildout is projected to run through 2032, generating an estimated 35,000 construction jobs and 2,500 permanent operating roles, with OpenAI committing to annual public reporting on hiring, water use and energy consumption.


AI Contracts Decoded: What Fortune 500 Legal Veterans Know That You Don’t
When Microsoft refuses to negotiate indemnification with their biggest customers, what does that mean for your AI vendor contracts? When IBM data shows 97% of AI breaches stem from compliance failures—most being supply chain-related—who holds liability? When employees download shadow AI tools with zero cybersecurity controls, what recourse does your company have? None. Cathy Mulrow-Peattie brings perspective most outside counsel lack: Fortune 500 in-house experience at MasterCard and Omnicom, General Counsel at an AI startup, now advising enterprises. She starts with business goals before technology, technology before contracts—because she’s been in the hot seat when governance fails. You’ll learn: • Why 10-year AI contracts create risk and 90-day pilots with exit strategies are essential • The IP paradox: machine-generated outputs aren’t copyrightable but terms of use matter • How LLM providers retain “certain uses” of your data and when private instances become mandatory • Why contractual risk allocation to key vendors is your only viable strategy Key topics: Supply chain due diligence • The 97% compliance failure rate • Shadow AI liability traps • Benchmarking gaps • Hallucination disclaimers • GDPR/CCPA requirements • NY DFS Part 500 • Acceptable use policies • Dark web data sourcing • Evolutionary AI governance For: CISOs, CIOs, Chief Legal Officers, and compliance leaders navigating AI vendor relationships Contractual realities from someone who’s negotiated with Microsoft, advised Fortune 500s, and managed governance failures.
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