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.
The AI Boom Is Becoming a Credit Bet
AI financing has progressed from concentrated venture equity into a cross-asset financing system, while the market signals required to validate the buildout—utilization, cash generation, debt absorption and physical energization—remain unresolved.
Morgan Bazilian
AI in Grid Planning: The Burden of Proof
AI can accelerate planning work, but speed is not an evidentiary standard. The more an AI output can shape an infrastructure decision, the more utilities should require traceability, independent validation, reproducibility, controlled change, and accountable engineering judgment.
Tianqiao Zhao
