AIxEnergy courses explore how artificial intelligence is reshaping energy systems—from data center demand to autonomous grid operations and governance—equipping professionals to navigate the rise of the cognitive grid with rigor and clarity.
AI is no longer software—it is infrastructure. This new course introduces the Five Convergences framework and explains why understanding AI’s role in energy demand, control, design, and governance is essential to managing the emerging cognitive grid.
Brandon Owens
AI infrastructure is no longer just a power-demand story. NERC’s rare Level 3 alert suggests hyperscale AI may alter the dynamic behavior of the grid itself, forcing utilities to rethink reliability, operability, and infrastructure planning in the age of machine-speed load synchronization.
Brandon Owens
AI’s future may hinge on an obscure material few policymakers recognize: indium phosphide, which powers the optical interconnects linking massive AI chip clusters. As China tightens export controls, the U.S. faces a strategic chokepoint in the physical infrastructure underlying AI dominance.
Morgan Bazilian
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
