AI’s energy problem isn’t shortage—it’s misalignment. GPU clusters run at just 60–70% utilization due to data bottlenecks, creating hidden flexibility. With minimal peak curtailment, the grid could integrate ~100 GW of new load. Smarter governance—not more power—is the real solution.
Michael Leifman
AI is reshaping global electricity demand. The IEA’s WEO 2025 shows data centers doubling power use by 2030 and tripling by 2035, straining grids in the U.S., Europe, and China. Renewables, gas, and nuclear rush to keep pace as AI becomes both a demand shock and an efficiency engine.
Brandon Owens
AI is reshaping U.S. manufacturing into a data-driven, energy-intensive ecosystem. Reindustrialization hinges on reliable, low-carbon power and grid modernization—linking America’s industrial competitiveness to its energy infrastructure.
Brandon Owens
Tech giants are turning to nuclear power to fuel AI. Google, Amazon, and Microsoft are backing reactor restarts and next-gen designs—reviving U.S. plants in Iowa and Pennsylvania to secure 24/7 carbon-free energy and anchor America’s digital infrastructure for the AI era.
Brandon Owens
AI developers are inflating power demand with phantom data centers—projects that exist on paper but never connect. Utilities build for the illusion, regulators approve the excess, and ratepayers bear the cost. Increased transparency can break the cycle.
Michael Leifman
States must ensure AI-driven data center growth strengthens—not strains—the grid. Fair pricing, consumer protection, and community reciprocity can align private innovation with public equity, turning energy demand into shared resilience.
Brandon Owens
AI has broken the grid’s forecasting logic. Data-center demand could double—or stall—by 2028. The problem isn’t prediction, it’s governance. Smarter rules, transparent data, and flexible pricing—not overbuild—will determine how well the grid survives the AI era.
Michael Leifman
AI is transforming the grid from reactive reliability to dynamic intelligence. As demand surges from data centers and electrification, utilities are deploying AI-driven DERMS, VPPs, and predictive systems to create flexible, resilient power networks built for the AI age.
Hannah Kaplan