X-Energy began trading on Nasdaq on April 24 under the ticker XE, selling 44.3 million shares at $23 — well above the marketed range of $16 to $19 — and raising $1.02 billion. Shares jumped 31 percent on opening to imply a market cap near $12 billion. It is the largest nuclear IPO on record. The Maryland-based company builds the Xe-100, a helium-cooled, graphite-moderated pebble-bed small modular reactor, and has $1.8 billion in prior private capital plus a binding commitment from Amazon to buy up to five gigawatts of power by 2039.
The IPO is being read as a clean read on AI infrastructure demand. Hyperscalers committed to massive capacity buildouts have run into a hard physical constraint: the grid in the regions where data centers want to live cannot deliver the firm baseload power those workloads need, on the timeline they need it. The pipeline of conditional offtake agreements between data centers and small modular reactors has grown from 25 gigawatts at the end of 2024 to 45 gigawatts now, according to the IEA.
Small modular reactors have been a slide in nuclear pitch decks for two decades; what changed is that AI created a customer willing to pay above-market rates for firm carbon-free baseload, and willing to sign 15-year contracts that make the financing math work. X-Energy is not yet operating a commercial reactor — its first deployment is a Dow chemical plant in Texas — so the IPO is also a bet that the company can actually build, license, and deliver on its commitments.
For learners: AI is now a meaningful driver of energy and industrial policy, not just a software story. If you are interested in how AI scales over the next decade, the binding constraint will increasingly be electrons and the equipment to generate them, not GPUs. Watching deals like this one is a reasonable way to track whether the build-out can keep pace with the announcements.