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Trump administration threatens 92 GW of new electricity supply with red tape

The Trump administration's permitting delays threaten 92 GW of new electricity capacity amid rising demand from AI data centers, potentially canceling significant investments. Recent changes have already led to the cancellation of 7 GW on federal land and risk an additional 92 GW across federal and private property, highlighting a severe bottleneck in energy supply as renewables dominate new capacity additions.

Key points

  • Permitting delays initiated by the Trump administration threaten 92 GW of clean power capacity.
  • 7 GW of capacity has already been canceled due to changes and federal funding withdrawals.
  • An additional 12 GW could be canceled on federal land and 80 GW on private property.
  • These delays affect over $121 billion in energy investments.
  • Electricity demand is rising due to the expansion of AI data centers, which are expected to triple their electricity usage by 2035.
  • The Federal Energy Regulatory Commission requires faster grid connections but fails to address existing capacity bottlenecks.
  • Recent permitting issues stem from an order by Doug Burgum, targeting environmentally damaging projects, especially in Oregon, Alabama, Maine, Minnesota, and Montana.
  • Burgum's recent actions contrast with previous efforts during his governorship that promoted wind power expansion.

Why it matters

  • The situation echoes wider trends in energy policy affecting clean energy development, particularly in light of the growing importance of AI technologies and their energy demands.
  • The recent hurdles in permitting processes may impact long-term renewable energy goals in the U.S., given the shift towards sustainability projected in future IT trends.
  • Increases in electricity demands from data centers relate to historical trends of energy consumption spurred by technological advances, paralleled by global commitments to renewable energy sources.

The Trump administration's permitting actions present a significant challenge to the growth of clean energy capacity, risking crucial investments and potentially exacerbating energy shortages as AI-driven demand increases.