Trump officials announce 10-gigawatt data center, gas plants for former Ohio uranium site

A 10-gigawatt data center and up to 10 GW of new power generation (including 9.2 GW of natural gas) will be developed at the Portsmouth "PORTS Technology Campus," with $4.2B in grid upgrades and DOE saying $33.3B in Japanese funding tied to the gas component. SoftBank/SB Energy and AEP Ohio are partnering on generation and transmission; construction is expected to begin this year, create thousands of jobs, and excess capacity will be fed to the grid. The project is tied to the U.S.-Japan Strategic Trade and Investment Agreement and SoftBank's Stargate AI initiative (potential $500B pipeline), but faces local political and environmental risk from a petition to ban mega data centers on the statewide ballot.

Analysis

Large hyperscaler-led energy + compute campuses shift economic rents away from incumbent utilities and merchant generators toward integrated campus owners and their preferred vendors. By internalizing generation and transmission procurement, corporate tenants can compress regional basis differentials and extract long-term fixed-price power contracts; that dynamically amplifies margin volatility for midstream and merchant gas names on 12–36 month outage/maintenance cycles.

The procurement lens also changes which tech vendors capture value: vendors offering vertical stacks (infrastructure software, managed services, and hardware financing) can monetize both capex and recurring revenue, creating a multi-year annuity stream that looks more like industrial SaaS than pure cloud hosting. Conversely, ad-driven platforms that must underwrite heavy training spend without matching enterprise contracting flexibility face margin pressure and higher effective capital intensity, particularly if local politics slow brownfield builds and increase permitting costs.

Key risks are political/regulatory delays, commodity-price shocks, and supply-chain bottlenecks for transformers/turbines that can move a multi-year FID into multi-year limbo. Near-term catalysts to watch are local ballot outcomes, major power-transmission permits, and partner FID announcements — any one can compress timelines or spike short-term volatility, creating asymmetric optionality for long-duration option positions versus one-way equity exposure.

Key Decisions for Investors

• Long ORCL (equity or 12–24 month LEAP call spread): ORCL stands to capture integrated infrastructure and enterprise procurement contracts. Trade: buy ORCL 12–24 month LEAP calls and sell a higher-strike call to finance (~target 30–40% upside, max loss = premium paid). Hold through next 12–18 months of partner FIDs; exit on 25–40% realized gain or if ORCL misses enterprise cloud bookings by >10% consensus.
• Pair trade — Long ORCL / Short META (equal-dollar, 6–18 month horizon): Capture infrastructure annuity upside vs. ad-capex risk. Target relative outperformance of 20%+; set pair stop at 10% on either leg. This reduces beta while expressing the thesis that enterprise procurement will re-rate infrastructure vendors faster than ad-native platforms.
• Sell short-dated OTM calls on META to finance ORCL long calls (3–6 month cadence): Use premium from selling near-term META calls to partially fund LEAPs on ORCL. Risk: large META gap-up; mitigate by strict buyback at 20% adverse move and keep position size <3% NAV.
• Event-driven alert strategy for GOOGL/GOOG (3–9 months): If partnerships or major campus tenancy announcements shift cloud demand visibility, initiate buy-write or call-spread tactical exposure to GOOGL/GOOG on pullbacks >8% to capture upside from expanded AI compute demand. Target 15–25% upside; cut if cloud growth guidance misses by >200bps.