The Grid’s New Blind Spot: Why Demand Volatility May Be the Next Frontier in Rate Design
AI-driven digital loads are reshaping not just how much electricity the grid uses, but how it behaves. Traditional tariffs price magnitude and timing, not volatility. Aligning rates with demand behavior—without mandates—may be the next quiet evolution in cost-of-service regulation.
Shadow Grid: The Grid Is Splitting in Two
Data center developers are building a parallel “shadow grid” to bypass delays and costs. With 47 GW emerging—rivaling grid builds—this system is largely invisible to planners. FERC’s response may unintentionally push more operators fully off-grid, deepening coordination and reliability risks.
Michael Leifman
The Age of Electricity Meets the Age of Constraint: IEA’s Energy Technology Perspectives 2026 Describes a System in Transition
Energy is shifting from a single constraint (cost) to a multi-constrained system—power, materials, supply chains, and policy. Clean tech is scaling on economics, but fragility is rising. The transition now hinges not just on deployment, but on aligning constraints across the system.
Brandon Owens
The Shadow Grid Doctrine: The United States Is Building a Second Energy System for Artificial Intelligence
The White House AI framework accelerates infrastructure at unprecedented speed—but exposes 10 systemic risks, from rising grid fragmentation and cost shifting to reliability, market and governance gaps, as a “Shadow Grid” emerges outside traditional oversight.
Brandon Owens
Energy Innovation at the Edge of Power: A Review of the IEA’s The State of Energy Innovation 2026
The IEA’s 2026 report shows energy innovation is now central to competitiveness and security. Public investment drives long-term returns, resilient grids are essential, and institutional capacity—not resources alone—will define leadership in the twenty-first century energy transition.
Brandon Owens
Extending AI Governance into Grid Governance: A Review of the OECD AI Report from an Infrastructure Systems Perspective
The OECD AI report offers a governance framework for advanced AI, but it is platform-centric. As AI embeds into grid operations and hyperscale load, governance must shift from model oversight to physical consequence—linking compute to megawatts, reliability margins, and ratepayer impact.
Brandon Owens