Data center electricity outlook and pricing

ADI built a bottom‑up view of U.S. data center electricity demand driven by AI workloads, using rack density, GPU power consumption, utilization assumptions, and load growth scenarios. These demand estimates were stress‑tested through interviews with utilities, hyperscalers, and power developers to assess grid constraints and timing mismatches. The work linked physical load growth to regional power pricing outcomes over the next decade.

Integrated energy company

Rapid AI growth created uncertainty around load growth, grid constraints, and power pricing.

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Modeled load growth using bottom‑up GPU and rack‑density assumptions.

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Interviewed utilities, data center operators, and OEMs.

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Assessed transmission and grid bottlenecks by region.

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Developed electricity price trajectories across scenarios.

  • Established demand and price scenarios to support gas‑to‑power and infrastructure strategy.
Client Results
Working with ADI has been great for getting real customer feedback and targeting the specific information we are looking for.
Jeff Dysard CTO & EVP, NuMat Technologies

Industry experience

Sustainability assessment for electric utilities

ADI assessed how sustainability priorities are influencing actual capital allocation across electric utilities, with a focus on transmission, distribution, and grid digitalization. The work drew on utility‑level benchmarks covering decarbonization targets, resilience investments, and governance structures, supplemented by interviews with sustainability and planning leaders. Emphasis was placed on distinguishing aspirational ESG commitments from areas driving […]

AI and data center energy impacts workshop

ADI structured and led a workshop examining how AI‑driven data center growth translates into power demand, infrastructure strain, and planning risk. Insights were synthesized from utilities, hyperscalers, OEMs, and developers to assess demand magnitude, geographic concentration, and timing relative to transmission and permitting constraints. The analysis framed implications for fuel mix, grid investment sequencing, and […]

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