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Trump to call for tech companies to pay more for data center electricity: report

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Trump to call for tech companies to pay more for data center electricity: report

President Trump will use his State of the Union address to press major tech firms to sign 'rate payer protection pledges' obligating them to pay higher electricity costs where new AI data centers are built, a policy the administration says it has negotiated with top companies. The announcement signals increased political and regulatory pressure on cloud and AI infrastructure providers that could raise operating costs and influence data-center siting decisions, introducing a modest near-term downside risk to affected providers and local utility economics ahead of the November elections.

Analysis

Market structure: the immediate winners are regulated utilities and grid-constrained ISO/RTO generators (e.g., NEE, DUK, SO) that can extract higher unit economics from incremental data-center demand; losers are data-center owners/operators and hyperscalers' margin pools (EQIX, DLR; pressure on AMZN, MSFT, GOOGL margins for new campuses). Expect localized pricing power where grids are stressed (Texas, Virginia) — data-center electricity can be 30–50% of site opex, so a 10% surcharge could compress operator FFO/margins by ~3–6% near-term. Cross-asset: modest upward pressure on utility equities and power forward curves, small positive on IG muni credit where tax receipts/stressed grids improve; slight upward tilt to near-term yields if capex slows and corporate margins are hit. Risk assessment: tail risks include binding federal mandates or state-level moratoria that stop new builds (low probability, high impact for REITs) and retaliatory corporate relocation offshore (medium tail). Immediate (days) volatility will spike on the SOTU text; short-term (1–3 months) is driven by pledge language and corporate responses; long-term (6–24 months) depends on binding regulation and PPAs re-pricing. Hidden dependencies: many leases push energy costs to tenants — operators may be insulated; PPAs and behind-the-meter storage can neutralize passthroughs, creating idiosyncratic winners. Trade implications: establish a tactical 2–3% long in regulated utilities (NEE, DUK) and a 1–2% short exposure to data-center REITs (EQIX, DLR) via 3–6 month 10% OTM puts to limit capital and capture asymmetric downside if pledges become de facto taxes. Pair trade: long NEE (2%) / short DLR (1%) to play re-pricing of energy vs real-estate rent. Use call spreads on NEE (4–6 month bull-call) rather than outright longs if funding costs rise. Time entries within 1–6 weeks post-SOTU; exit or re-size after definitive regulatory text or if company guidance changes >5%. Contrarian angle: consensus assumes material margin shock to hyperscalers, but many hyperscalers have long-term wholesale PPAs and can site capacity in cheaper grids or build on-site generation — reducing landlord risk for REITs with triple-net leases. Reaction may be partially overdone for data-center landlords who shift passthroughs to tenants; conversely, renewable IPP and battery-storage developers could be underpriced beneficiaries if corporates accelerate behind-the-meter builds. Historical parallel: 2019–21 grid-constraint episodes produced re-pricing in regional power but did not stop hyperscaler growth; expect selective, not wholesale, reallocations.