2026 Event Schedule

As artificial intelligence continues to reshape the energy landscape, utilities face unique opportunities—and challenges—in turning pilots into enterprise-grade solutions. Generative AI, large language models (LLMs), and automation offer immense potential, but require disciplined governance, strategic investment decisions, and cultural readiness.

This panel discussion, featuring leaders from National Grid, Con Edison, and PG&E, will provide actionable insights into AI benchmarking for utilities with insights on Governance and Process, Build versus Buy strategies, and Change Management. Drawing on best practices identified through benchmarking efforts with dozens of utility executives, the session will explore how to design, scale, and govern AI programs to deliver sustained long-term value.

Panelists will explore:

• AI Governance Frameworks: How enterprise utilities are building oversight models, ROI tracking tools, and approval workflows to drive ethical, effective AI adoption
• Build vs. Buy: When it’s more effective to invest in internal capabilities vs. leveraging vendor solutions—and how to scale both without compromising standards
• Change Management: How utilities are supporting workforce transition, upskilling talent, and managing change fatigue during AI-driven digital transformation

Framed around the “3 Returns” lens—Return on Investment (ROI), Return on the Future (ROF), and Return on Employee (ROE)—this discussion offers strategic guidance for utilities looking to make intentional, high-impact AI investments. Attendees will gain practical insights, common pitfalls to avoid, and industry-developed frameworks that align innovation with operational performance and long-term sustainability.