Kevin Kong on UCAN's Advanced Nuclear Podcast

AI is finally addressing nuclear’s real bottleneck: time, not technology.

Had a blast joining Dominique Cooper on the Advanced Nuclear podcast (brought to you by UCAN Power - United Coalition for Advanced Nuclear Power). We talked about what happens when AI, digital twins, and licensing automation meet the most time-consuming parts of nuclear.

We talked about things like:

💬 Why the real constraint isn’t physics—it’s regulatory and construction timelines

💬 How “nuclear is all about safety, and safety is documentation” — and what happens when AI can actually read, link, and reason over tens of millions of pages

💬 The role of digital twins + AI native simulations (e.g., Omniverse-style worlds) in helping both operators andregulators converge on safety and timelines faster

💬 The uncomfortable reality of U.S. vs. China build rates, supply chain bottlenecks, and why cost deltas are really “signals” that something upstream is broken

💬 What nuclear-powered data centers could look like if we treat this moment with wartime urgency instead of assuming the hype cycle lasts forever

💬 How we’re thinking about tools that help move from DOE first-of-a-kind to NRC nth-of-a-kind much faster, and why we decided to open-source pieces of that work

If you care about AI, energy abundance, data centers, or the future of American industrial capacity, this one goes pretty deep.

🎧 Listen on Apple/Spotify podcasts or watch here: https://www.youtube.com/watch?v=MA8yR1hZe-c

Big thanks to Dominique Cooper and UCAN for the platform and sharp questions.

If your team is wrestling with timelines, documentation, or “we don’t have enough people to do all this work,” Everstar can help. I’d love to continue the conversation.