Catalyst with Shayle Kann
Catalyst with Shayle Kann

With Great Power: What other industries can teach utilities about innovation

This week we’re bringing you a special crossover episode from With Great Power. It’s a show about one of the most complex machines ever built – the power grid. It’s a machine that’s changing faster than ever. With Great Power is about the people driving that change: A third of the world's large

Featured Speakers

Rayford Smith Guest

Topics Discussed

Episode Summary

Executive Summary: This episode profiles Rayford Smith, AES’s chief utility innovation officer, and argues that utilities must reinvent themselves to keep pace with decarbonization, electrification, AI, and distributed energy. Drawing on his Google and utility background, Smith contrasts conservative “railroad” models with more agile “telecom” models and stresses that innovation will require new technology, faster regulation, new business models, and different talent.

Main Topics: Rayford Smith’s career and perspective (Priority: 5/5): Smith’s path from utilities to Google/X and back to AES gives him a cross-sector view of how the power industry can change from within. AI, ML, and distributed analytics in grid operations (Priority: 5/5): He sees AI/ML as powerful for automating tedious planning and improving accuracy, but warns explainability and trust remain major barriers for utility adoption. The future grid as a more transactive, edge-driven system (Priority: 5/5): Smith argues the grid is moving toward distributed intelligence, IoT-like coordination, and faster problem-solving at the edge rather than centralized control. Talent and culture shifts inside utilities (Priority: 4/5): He says utilities need systems thinkers with telecom, data science, computer science, and cybersecurity skills, and must grow this talent internally. Tech-company and utility collaboration (Priority: 4/5): Smith describes how Google used forecasting and load shifting to optimize carbon and reliability outcomes, showing how tech firms can pioneer capabilities utilities can adopt. Business model and regulatory reform (Priority: 5/5): He emphasizes that rate design and regulation move too slowly relative to digital infrastructure and must adapt to support time-varying, dynamic grid operations. AES’s clean energy and innovation strategy (Priority: 4/5): AES is investing in renewables, robotics, customer tech, and next-generation utility capabilities to lead both energy transition and utility transformation.

Key Arguments: Utilities do not need to abandon grid fundamentals, but they must modernize how they plan, operate, and innovate around them. AI and machine learning can greatly speed up grid analysis and planning, but only if utilities can explain and trust the outputs for regulators and operators. The grid of the future will be more distributed, intelligent, and transactive, with optimization happening at the edge rather than only in centralized control rooms. Utilities need new talent profiles—data science, telecom, cybersecurity, and systems thinking—because traditional utility skill sets are not enough for the next wave of change. Tech companies can serve as innovation partners because their digital infrastructure lets them develop and test flexible capabilities faster than utilities typically can. Regulation and rate-setting are too slow for a rapidly changing energy system; business models must evolve so pricing, technology, and operations move on the same timeline. AES is positioning itself not just as a power provider but as an innovation-led company, using acquisitions and internal ventures to build the utility of the future.

Data Points: Google carbon-neutral milestone: 2007 - Google had already achieved carbon neutrality across its offices and data centers by this year. Google energy strategy target: 24/7 carbon-free energy by 2030 - Smith helped launch Google’s shift from 100% renewable goals to around-the-clock carbon-free energy. Utility transformation timeline: At least 5 years - Smith says moving from traditional utility operations to the future model will take a minimum of five years. Rate update cycle: 18 months to 1 year - He describes utility rate updates as taking far longer than digital systems, contributing to mismatches with modern load behavior. Grid interconnection wait time: 7 years to 18 months–2 years - Smith cites Google data center interconnection experiences as evidence of inconsistent and often slow grid access. Interconnection goal: 3 months or 1 month - He argues utilities should set much more aggressive targets for connecting projects to the grid. AES solar-plus-storage project size: 2 gigawatts - The Bellfield solar plus storage project in California is described as the largest of its kind in the U.S. once complete. Corporate net-zero adoption: A third - The intro states that a third of the world’s largest companies now have net zero targets. Apple clean-energy status: 100% - The intro notes that all Apple buildings now run on clean energy.

Pivotal Quotes: "“Utilities should be less like conservative railroad giants and more like inventive telecoms companies.”" — Daniel Waldorf / episode framing of Rayford Smith’s view: Used to summarize Smith’s core metaphor for how utilities should evolve. "“If we don't figure out how to make the system, the business model, the infrastructure all work at the same pace, we're inherently going to have problems in the grid.”" — Rayford Smith: Explains why rate design, technology, and operations must be synchronized. "“I think one of the most exciting things... is really how do we start thinking about distributed analytics.”" — Rayford Smith: Describes his vision for a more intelligent, edge-oriented grid architecture.

Implications: The episode suggests utilities that adopt faster tech, better data, and more flexible regulation will outperform conservative peers. For the industry, the biggest barriers are less about engineering and more about culture, talent, and policy speed.

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