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Powering sustainable AI in the United States

  • By Rémi Paccou and Fons Wijnhoven
    • 28 Apr 2025
    • 3 min read

Overview

The rapid expansion of Artificial Intelligence (AI) is poised to significantly increase U.S. electricity demand, at a time when electricity is becoming a newly scarce resource.
This surge necessitates strategic planning and infrastructure modernization to avoid potential energy crises and ensure sustainable AI development.
This report outlines the key drivers of this demand, potential scenarios, and actionable strategies for mitigating risks and enabling sustainable growth.
Key findings


  1. Decisions made today regarding AI U.S. infrastructure will determine future AI energy demand

    AI could drive 20-50% of U.S. electricity demand growth be­tween 2025-2030, highlighting the need for proactive planning to align AI load growth with a modern energy infrastructure.

  2. Sustainable AI is not solely about AI power reduction

    Infrastructure deficits and regulatory hurdles can limit a harmoni­ous development of sustainable AI. These challenges may inten­sify due to insufficient investment in behind-the-meter solutions, microgrids, and flexibility, all of which require strategic reform.

  3. Unregulated AI growth risks creating unsustainable infrastructure

    Unchecked AI development, potentially reaching 500 TWh by 2030, could lead to oversized and inefficient infrastructure ex­pansions, failing to meet the need for stable, affordable, and ac­cessible electricity to power sustainable AI development.

  4. Swift acceleration of AI-ready data center build-out is critical

    Achieving 43-92 GW additional data center capacity by 2030 underscores their critical strategic role, requiring streamlined permitting, modular construction, and distributed energy for re­silience and scale.

  5. Mismanagement of AI growth threatens grid stability

    High-end AI growth is forecast to drive power demand to 157 GW by 2029 (29 GW over projections, 173 GW by 2030), potentially overloading the grid and impeding broader electrification efforts.

  6. Geographic clustering reveals local vulnerabilities

    Driven by data center concentrations, seven ISOs/RTOs, includ­ing MISO, PJM, ERCOT, risk reserve shortfalls by 2028, facing critical regional grid constraints. Powering AI sustainably requires addressing these issues.

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