[MARKETS] ⏱ 3 MIN READ • 2026-10-18 15:00:23 UTC JSON API [RAW]

Regulated Utilities Face AI Data Center Interconnection Surge: Load Growth Hits 6.2%

PJM and ERCOT interconnection queues for AI data centers have surged 45% year-to-date, driving regulated utility load growth to 6.2%—the highest since 2007. With capacity constraints tightening, utility capital expenditure plans are accelerating, reshaping the sector's risk-return profile.

⚡ EXECUTIVE 30-SECOND INVESTOR MATRIX

🎯 THE SIGNAL

Utilities with high data center exposure and constructive regulatory outcomes are positioned for outperformance as demand growth translates into higher rate base and earnings.

📈 BULLISH VECTORS

Regulated utilities in PJM (e.g., Dominion, AEP) and ERCOT (e.g., Sempra) benefit from accelerated rate base growth and favorable regulatory treatment of data center investments.

📉 BEARISH VECTORS

Utilities with lagging infrastructure or adverse regulatory rulings risk stranded costs and margin compression as they scramble to meet demand.

⚠️ PRIMARY RISK TRIGGER: Regulatory pushback on cost allocation and potential delays in interconnection approvals could cap upside and increase execution risk.

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Interconnection Queue Dynamics PJM's interconnection queue for large-load projects (predominantly AI data centers) has reached 28.4 GW, a 45% increase since January 2026. ERCOT's large-load queue stands at 22.1 GW, up 38% year-to-date. The surge reflects hyperscaler commitments to AI infrastructure, with average project sizes exceeding 300 MW.

Utility Load Growth and Capex Response Regulated utilities are revising load growth forecasts upward. The median 2026-2030 CAGR for affected utilities now stands at 4.8%, up from 2.1% a year ago. Consequently, capex plans have been revised higher by an aggregate $42B across our coverage, with 60% allocated to transmission and distribution upgrades. Rate base growth is expected to average 7.2% annually through 2028, versus 4.5% previously.

Regulatory and Cost Allocation Challenges Regulators are scrutinizing cost allocation for network upgrades. In PJM, the cost allocation method for network upgrades (RTEP) is under review, with potential shifts toward load-serving entities. This could delay project approvals and increase uncertainty. However, recent settlements in Virginia and Ohio have allowed timely recovery of data center-related investments, setting a constructive precedent.

Valuation and Investment Implications Utilities with high data center exposure now trade at a 15-20% P/E premium to the sector, reflecting growth expectations. We estimate that each 1% increase in load growth translates to a 2.5% increase in rate base growth and a 3-4% uplift in EPS. Our top picks include Dominion Energy (data center exposure: 25% of load), American Electric Power (18%), and Sempra (12%). Risks include regulatory lag and potential demand destruction from efficiency gains.