Energy

Projected impact on electricity prices

Percent increase by scenario and region.

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About this data

Data-center-dense regions face the steepest hikes: Virginia generation costs could rise as much as 57% by 2030, while the national wholesale electricity cost is projected to climb somewhere between 6% and 29% by the end of the decade. These are scenario estimates, not guarantees, and the range itself is the point — the outcome depends on how fast new generation is added.

Projected impact on electricity prices

Projected impact on electricity prices

Percent increase. Regions dense with data centers face the steepest hikes; the national wholesale range spans the low and high scenarios.

View data & sources →

Data table

Projected impact on electricity prices — price_impact data table (AI Data-Center Electricity Demand & the Grid)
pct label series source_ref value_basis
57 Virginia generation cost, by 2030 price_impact fortune-dc-costs Virginia electricity generation costs could rise as much as 57% by the end of the decade
29 US wholesale, decade-end (high) price_impact fortune-dc-costs National average wholesale electricity cost could rise up to 29% by end of decade (high scenario)
6 US wholesale, decade-end (low) price_impact fortune-dc-costs National average wholesale electricity cost could rise as little as 6% by end of decade (low scenario)

Methodology & sources

Last updated: Aug 5, 2026

Methodology

Source-backed values are seeded for all seven charts: global data-center electricity consumption (IEA Energy & AI, historic vs base-case scenario, corroborated by S&P Global), the AI vs non-AI share of data-center power capacity (McKinsey base case, corroborated by JLL), the PJM capacity-market clearing price by delivery year (PJM Base Residual Auction reports, corroborated by Utility Dive), the US data-center demand-vs-supply gap to 2028 (Morgan Stanley; Deloitte), per-site power draw vs a city, US data-center power demand (2025 vs 2028), and the projected electricity-price impact by region/scenario. Every numeric point carries a sources[].ref and a value_basis. The 2028 available-capacity figure is derived from Morgan Stanley’s ~45 GW shortfall estimate against ~100 GW demand (labeled in the value_basis). Demand figures trace to CRS data-center energy analysis; the Virginia (+57% by 2030) and national wholesale (+6% to +29% by end of decade) price impacts trace to Fortune / public-opinion reporting on data-center power costs. ESTIMATE: the AI-share chart uses McKinsey’s published AI-vs-total capacity trajectory (AI ~44 GW in 2025 → ~156 GW of ~219 GW total by 2030); the 2028 point is interpolated along that trajectory and the non-AI slice is a deduction (total − AI). It is a published-estimate split, not a measured per-year megawatt count. CAVEAT: price-impact figures are forward scenarios, not realized prices, and depend on how fast new generation is added. Ranges are shown as separate low/high bars rather than a single point. Re-verified 2026-07-17.

Comparisons are informative, not definitive. See each source for definitions and limits.

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