Guest Introduction: Tony Uttley is the CEO of Enginuity Power Systems, a behind-the-meter cogeneration company delivering combined heat and power solutions to hospitals, schools, farms, and multi-family housing facing the full force of America's coming energy crisis. An engineer by training, Tony spent a decade at NASA's Johnson Space Center, seven years at the Boston Consulting Group, and nearly 15 years at Honeywell, where he ran the residential business and helped found Quantinuum, the quantum computing company now approaching a $10 billion IPO. He brings that same first-principles problem-solving instinct to one of the most consequential infrastructure challenges the country has faced in a generation. Here's a Glimpse of What You'll Learn Why 20 years of flat electricity demand left the US grid dangerously unprepared for the AI data center era How the country would need 80 to 120 new nuclear reactors worth of power in the next 4 years to meet demand, and why that is effectively impossible How a New York hospital system was ordered off the grid 5 times in one summer and what that meant for every patient scheduled for surgery those days Why Enginuity's combined heat and power systems can deliver payback windows as short as 11 months in some markets How a Northern Indiana dairy farm is turning cow waste into renewable natural gas to power its own operations and eliminate 15 micro blackouts a week Why Tony selects for humility above all else when building teams to go after problems that may actually be impossible Why AI is a national security issue and slowing it down is not an option regardless of the energy cost In This Episode Tony opens by tracing the energy crisis back to a decision that made complete sense for two decades and now looks like the setup to a very expensive problem. When electricity demand in the United States grew at an average compound rate of 0.17% for 20 years, nobody invested in new capacity. A $1,000 investment in grid infrastructure in 2005 would have returned $1,037 by 2025. No rational investor made that bet. Infrastructure aged, transmission lines went unbuilt, and electricity prices were kept artificially low by charging consumers only for the cost of producing power rather than the cost of replacing the assets generating it. That worked until it did not. Along came AI, and AI means data centers, and data centers mean 24/7 firm fixed capacity power demand at a scale the existing grid was never built to absorb. Tony is precise about the gap: the country needs somewhere between 80 and 120 gigawatts of power it does not currently produce in the next four years. One full-size nuclear reactor equals one gigawatt. The math is not encouraging, and he says so directly. The examples Tony uses to make the crisis concrete are the ones that stay with you. A hospital system in New York with 15 facilities across Manhattan and Long Island was told by its utility to go on emergency power five times in a single summer. Each time that happened, every scheduled surgical procedure for the day was cancelled, because starting a new surgery requires two independent power sources, and when the grid goes down, emergency power alone does not qualify. Five times. Real patients sent home. That is what grid instability looks like when it hits a healthcare system already operating on tight margins. Separately, a developer with all permits in place for a new multi-family housing project was told by their utility it would be four to five years before power could be provided. These are not hypotheticals. They are the backdrop against which Tony is selling, and they explain why he says customer resistance has effectively disappeared. The numbers work now in a way they simply did not three or four years ago. In parts of the country where electricity costs $0.35 or more per kilowatt-hour, Enginuity's systems, which deliver all-in at $0.15 per kilowatt-hour including maintenance, produce payback windows that compress to 11 months in some markets. The leadership conversation in this episode is as valuable as the energy one. Tony has spent his career going after problems with no playbook, from quantum computing to energy infrastructure, and he has developed a hiring philosophy built around a criterion that took him 20 years to consciously identify: humility. Not talent alone. Not raw intelligence. Humility. The high-ego geniuses who bounce everyone else against the wall as they walk down the hall may command respect, but they do not generate the sheer collective will that gets an organization four weeks from going out of business and back out the other side. Tony's model is to find the geniuses, sit on their shoulders, and build the commercial infrastructure around their capability. The ambition he sets for those teams is not calibrated to what seems achievable. At Quantinuum, project milestones were literally world records and firsts of their kind, with specific dates attached. He told teams to aim at the world record line and jump as hard as they could. Missing by two months while doing something that had never been done was, in his framing, an unqualified success. That philosophy is now being applied to a 20-year infrastructure problem with no single solution and no finish line.
