AI and the stress test for utilities

In the current age of artificial intelligence, the challenge for utilities isn’t just how to power AI-driven data centers, it’s also how AI itself is changing grid operations, security, workforce needs, and the overall utility business model.

In this episode of Power Perspectives, host Kinsey Grant Baker welcomes Paul Quinlan, Director of Energy Research at ScottMadden to peel back the curtain on what new areas of focus utility leaders need to be aware of as AI grows. Paul breaks down the national security dimensions of AI and energy, the limits of traditional load forecasting and capital planning approaches, and which markets are emerging as early stress points.

But it’s not all bad news, as Paul also explores AI as an internal opportunity with real-world examples of how utilities are using AI for predictive maintenance, outage forecasting, and grid optimization, along with how leaders can think more clearly about measuring ROI on AI investments. Finally, this conversation turns to the workforce: how AI may reshape utility roles, what new skills are in demand, and how utilities can balance automation with workforce development and retention.

And thanks to our partner, ScottMadden, for making this episode possible. ScottMadden knows energy from the ground up. Since 1983, they have served as energy consultants for hundreds of utilities, large and small, including all of the top 20. They focus on Transmission & Distribution, the Grid Edge, Generation, Energy Markets, Rates & Regulation, Enterprise Sustainability, and Corporate Services. Their broad, deep utility expertise is not theoretical—it is experience based. They have helped our clients develop and implement strategies, improve critical operations, reorganize departments and entire companies, and implement myriad initiatives.

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