The most risk-averse industry in the United States is rapidly adopting large language models, not to control reactors, but to manage the crushing weight of regulatory paperwork and institutional knowledge. As of October 2026, nearly the entire fleet of 94 U.S. nuclear reactors has been offered AI integration, with most facilities opting in. This shift is driven by a critical infrastructure bottleneck: the nuclear sector is grappling with an aging workforce and a massive volume of documentation that human operators can no longer efficiently process.

Solving the Knowledge Gap with NIVA and Nuclearn

In August, California-based Atomic Canyon launched NIVA, the Nuclear Industry Virtual Assistant, following a pilot program at Constellation Energy facilities. Developed in partnership with the Electric Power Research Institute (EPRI), NIVA was trained on 53 million pages of publicly available data from the Nuclear Regulatory Commission. Atomic Canyon CEO Trey Lauderdale explains that the model uses sentence-embedding techniques to understand the unique vernacular of nuclear operations. Simultaneously, startup Nuclearn reports that its AI products are now deployed with more than 65 U.S. partners, including integration work with NuScale Power Corp for advanced small modular reactors.

Why the Industry Is Pivoting to AI Tools

Jerrold Vincent, CFO and cofounder of Nuclearn, notes that the adoption is twofold: tech companies want nuclear power to fuel data centers, and the nuclear industry needs help with its most tedious tasks. "Many of the things that make reactors so difficult to operate—intricate regulations, along with complex systems for management and maintenance—are exactly the kinds of tasks that AI is good at," Vincent says. The tools primarily function as advanced search engines for decades of operating experience reports and technical documents, allowing engineers to query past failures and solutions instantly rather than sifting through physical archives.

Security Constraints and Human-in-the-Loop Operations

Despite the enthusiasm, strict security protocols remain in place. Nuclearn offers single-location solutions to ensure plant data never leaves the site, while NIVA operates within existing plant-level security clearances. Currently, no AI system is authorized to make direct operational decisions, such as controlling reactor functions. Instead, pilot projects at EPRI are testing AI’s ability to flag anomalies in weld inspections, but a human engineer always reviews the recommendations. "I cannot see, in the short or the long term, an environment where AI is making decisions around the operation of the plant," Lauderdale states, emphasizing that humans will remain in the loop for the foreseeable future.

Key Takeaways

  • Atomic Canyon launched NIVA in August 2026 after training on 53 million pages of NRC data.
  • Nuclearn’s AI tools are currently deployed at over 65 U.S. partners, including NuScale Power.
  • The primary use case is retrieving institutional knowledge and regulatory compliance data, not controlling reactors.
  • Microsoft and Nvidia are collaborating on AI optimization for the entire nuclear plant lifecycle, from permitting to operations.

The Bottom Line

AI in nuclear power isn't about replacing the engineer; it's about preventing the industry from drowning in its own bureaucracy. By automating the retrieval of institutional knowledge, these tools offer the only realistic path to sustaining the fleet amidst a severe workforce shortage.