East Asia’s AI-Energy Moment: The Cognitive Grid Meets the Shadow Grid
A Review of Energy and AI in East Asia
AEO 2026 in Review: A Structural Shift in U.S. Energy System Dynamics
AEO2026 reframes its “Reference Case” as a control, not a forecast, and reveals a structural shift: electricity demand—driven by data centers and AI—is now the primary system variable, with load shape (continuous vs peak) redefining grid costs and planning
Brandon Owens
The Data Center Boom Is Breaking the Old Rules of Power Regulation
AI data centers are exposing gaps in U.S. power regulation. Verified large-load governance—milestone-based forecasting, cost-causation tariffs, flexible service classes, operational visibility, and coordinated oversight—can reduce cost and reliability risk.
Morgan Bazilian
The Prompt Box Is Part of the Energy System: Why Sustainable AI Is Not Just a Data Center Problem
AI’s environmental impact depends not only on data centers, chips, and power supply, but on how people use it. Sustainable AI requires purposeful prompting, right-sized models, less low-value output, and better “demand architecture” for computation.
Ian Todreas
