In 2025, AI became the center of gravity for the energy industry. As tech companies commit to over $1 trillion to build out computing infrastructure, utilities are planning to spend another $1 trillion to upgrade the grid.
Faced with the speed-to-power imperative, the energy industry has largely taken an “all of the above” approach to development, pursuing batteries, fuel cells, behind-the-meter gas, geothermal, nuclear, and distributed capacity. Solutions are getting more sophisticated, but there is still no uniform blueprint for building at gigawatt scale.
Over two days at Transition-AI 2026, attendees will:
- Exchange practical insights on planning and coordination between utilities, regulators, and data center developers, and generate a clearer picture of how AI-driven demand is reshaping infrastructure timelines.
- Turn emerging solutions into strategy through discussions on flexible load design and clean energy procurement models.
- Build cross-sector partnerships that tackle today’s real constraints (unreliable load signals, interconnection bottlenecks, fragmented regulation) and turn aligned technology, policy, and capital into buildable projects.
Join us in San Francisco as we bring developers, utilities, regulators, and hyperscalers into the same room to align on what’s real, what’s possible, and what can get built that is economically viable and sustainable.








































