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
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
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 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
