Sen. Dave McCormick links AI growth to energy, rivalry with China, and nuclear power
Sen. Dave McCormick’s pitch is pretty simple: when AI demand spikes, energy demand follows. That connection—between the hype cycle and the grid—shows up throughout his extended conversation, where he talks about U.S. competition, China, and why he keeps coming back to nuclear power.
The interview, shared as a web exclusive, finds McCormick emphasizing that the rise in artificial intelligence isn’t just a software story. It’s a power story too, and not in some abstract way. If you’ve ever stood near a loud generator or heard a data center hum at night—there’s that steady, unromantic sound—you get what he means: compute has physical weight.
He also frames America’s rivalry with China over AI as something broader than chips and code. The way he puts it, AI capability is becoming a strategic lever, one tied to industrial capacity and infrastructure. The conversation circles that idea more than once, like someone trying to make sure the point lands: whoever can scale responsibly and reliably is going to matter, and the U.S. shouldn’t treat that like it will just work out.
Energy gets the bulk of the emphasis, though. McCormick argues energy and the rise in artificial intelligence go hand-in-hand, and he talks about what that means for planning and investment. It’s not only about having enough electricity on paper; it’s about having the kind of generation and grid stability that keeps advanced technology running without turning power constraints into a bottleneck. And, sure, people can debate the details—what timelines, what policies, what mix—but the dependency itself is the core thread.
Then nuclear power enters the conversation in a very direct way. McCormick ties it to the bigger energy question, essentially saying that if the country is serious about supporting AI growth, it can’t ignore the options that can provide dependable baseload power. The nuclear angle feels like the part he’s most comfortable leaning on, even if the conversation occasionally drifts back to AI demand and competition—like he’s reminding you why the topic is on the table at all.
By the end, the interview reads a bit like a map of priorities: AI rivalry with China, the energy requirements that come with AI scale, and nuclear power as one of the policy levers. It’s not a tidy conclusion so much as a set of linked arguments—what the U.S. wants from AI, what it will take to power it, and where McCormick thinks the country should look. Whether you agree with his emphasis or not, the takeaway is hard to shake: in his view, AI’s future can’t be separated from the energy choices that are being made right now.