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 regulatory engagement under multiple AI adoption scenarios.

Global integrated energy company

Accelerating AI adoption is driving uncertain but potentially outsized data‑center power demand amid grid and permitting constraints.

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Drew on ADI’s established relationships with utilities, OEMs, developers, and academics for candid, cross‑sector perspectives.

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Evaluated transmission, interconnection, and permitting bottlenecks shaping feasible data‑center expansion timelines.

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Assessed viability of gas, renewables, nuclear, storage, and flexibility solutions against hyperscaler requirements.

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Translated expert insights into actionable implications for long‑term infrastructure and energy planning.

  • Established decision context for grid investment, fuel mix, and policy engagement under structurally rising but uncertain AI‑related power demand.
Client Results
ADI helped us quantify our target market size in a very methodical manner. They got up to speed very quickly on what we do, spending time with our team, technology, and markets to perform a thorough evaluation themselves.
Doug Moorehead President, FlexGen Power Systems

Industry experience

North American transmission market assessment

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Building efficiency assessment methodology

ADI developed a vendor‑independent Building Efficiency Assessment Methodology (BEAM) to quantify energy savings, emissions reductions, and retrofit economics across existing building portfolios. The work combined inductive benchmarking from comparable buildings, scenario‑based modeling, and conversion‑rate analysis to move retrofit decisions upstream without costly on‑site audits. Emphasis was placed on translating engineering outputs into CFO‑relevant metrics such […]

EV and charging infrastructure market assessment

ADI evaluated the North American EV and charging infrastructure market using bottom‑up forecasts of vehicle stock, charger deployment, power demand, and capital investment through 2030. The analysis differentiated Level 1, Level 2, and DC fast charging economics, incorporating policy scenarios, utility participation models, and EPC cost structures. Particular attention was paid to fleet charging economics […]

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