AI in Solar Forecasting and Reliability
AI is transforming solar energy from a variable resource into a smart, predictive system—enhancing forecasting accuracy, reducing downtime, and enabling more reliable, cost-efficient grid integration worldwide.
The AI-Energy Decision Stack: Why the most important AI decisions are no longer about demand forecasts
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
IEA's World Investment Report Confirms Energy and AI Are Now the Same Story
IEA’s 2026 report shows energy and AI converging: $3.4T in investment, nearly 60% tied to electricity, $100B+ for data-center energy, and grids now the bottleneck. The next era belongs to infrastructure intelligence.
Brandon Owens
The Utility-AI Leadership Edge Part III: How CFOs Can Fund the AI-Driven Grid Buildout Without Leaving Customers Behind
Utility CFOs must fund unprecedented grid growth from AI, data centers, electrification, and resilience needs while protecting affordability. The winners will use CIAC, large-load tariffs, flexibility, and disciplined cost allocation to build trust and avoid shifting costs to customers.
Hannah Kaplan
Weekly Digest | June 9–14, 2026
AIxEnergy’s weekly read was that AI-energy pressure is no longer just about power demand; it is about whether institutions can verify claims, govern large loads, secure bankable capacity, and keep pace with infrastructure moving faster than planning, regulation, and public trust.
Brandon Owens