AIxEnergy Convergence Map: Technologies, Companies, Deployments, and Capital Flows
The convergence of AI and energy is redefining modern power systems. At its core lies a layered AI‑powered grid: intelligent sensors collect real‑time data, ML forecasts load and renewable output, reinforcement learning orchestrates dispatch and market participation, and automated systems.
The AI-Energy Decision Stack
Infrastructure planning once focused on forecasting demand. AI changes the challenge. The critical question is no longer how much demand will emerge, but which infrastructure commitments should be made before demand is fully known—and who bears the risk if assumptions prove wrong.
Brandon Owens
The AI Factory? Artificial Intelligence, Manufacturing, and the Energy Realities of Reindustrialization
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
The Electricity Customer Bill of Rights Part I: A Framework for Infrastructure-Scale Electric Demand
The AI economy needs electricity, but customers should not subsidize its growth. This series proposes an Electricity Customer Bill of Rights to protect affordability, reliability, transparency, communities, and fair cost allocation while enabling responsible infrastructure-scale demand.
Brandon Owens
How Artificial Intelligence Data Centers Are Reshaping the Regulatory Architecture of U.S. Electricity
AI data centers are stressing U.S. power regulation. The article argues for verified large-load governance: milestone-based forecasting, cost-causation tariffs, flexible service classes, operational visibility, and coordinated federal-state oversight.
Morgan Bazilian
