With a Workforce Crisis on the Horizon, the Nuclear Industry is Betting on AI Innovation
Takeaways from the 2026 Nuclear Business Innovation Conference
By Joey Barrick
The fact that nuclear energy is facing a workforce shortage isn’t new information. The industry has discussed these challenges for more than a decade, as experienced employees retire and up-and-coming talent leaves for better pay and easier hours in the tech industry.
But as demand for nuclear energy increases, industry leaders need to find solutions to both lessen the strain on the existing workforce and attract new employees.
In January, nuclear industry representatives gathered at the 2026 Nuclear Business Innovation Conference. Attendees addressed the employee shortage head-on: if nuclear energy providers are going to triple capacity by 2050, they need to find sustainable workforce solutions now.
The nuclear industry has new opportunities to stem the tide of lost employees by augmenting human work with AI. As participants in a workforce panel from Enercon, Thomas Thor and Raisun Technology Services mentioned, the top reason why people leave nuclear energy is the industry’s notorious workload; AI tools can automate tasks and allow nuclear employees to work shorter hours. The results could allow nuclear companies to do more with less while simultaneously preserving the “tribal knowledge” that will be key to the industry’s long-term success.
Why nuclear energy matters now
Any workforce crisis in the nuclear industry needs to be viewed within the larger context of global energy demand. Recent projections from the International Energy Agency (IEA) find that electricity demand from data centers is expected to double worldwide by 2030, driven by the insatiable energy needs for new AI technologies. In the United States, the increase in power consumption from data centers “is on course to account for almost half of the growth in electricity demand between now and 2030.”
As global energy demands increase, other forms of energy are proving to be unreliable. Gas prices have been volatile since the beginning of Russia’s invasion of Ukraine, and geopolitical factors could lead to continued instability. Nuclear energy is an extremely useful hedge against that volatility, providing a clean and affordable energy source — as long as the workforce exists to support it.
In his opening keynote at NBIC, Ryan Pickering of Oppenheimer Energy highlighted some of the tailwinds supporting nuclear growth. The world’s largest tech companies have recognized the nuclear opportunity. According to data from S&P Global Commodity Insights, tech titans Amazon, Google, Meta, and Microsoft have accumulated a combined clean energy portfolio of more than 84 gigawatts across the world. In some cases, these hyperscalers are subsidizing new nuclear capacity for ratepayers: the hyperscalers are willing to cover cost overruns to ensure that ratepayers only have to pay a fixed rate for nuclear energy.
AI opportunities and considerations
Why is the nuclear industry so excited about what’s possible with AI? In a word: speed. With AI, new products are coming into the market that were still in research just three to six months ago. That timeline would have been unthinkable before the AI revolution. Specifically, we heard about recent upticks in AI adoption across the existing nuclear fleet and new partnerships forming to modernize and reduce operational friction onsite across the nuclear fleet.
Bradley Fox and Jerrold Vincent, cofounders of SJF Ventures portfolio company Nuclearn, held a fireside chat on innovation in the nuclear sector. They highlighted the simple reasons why AI adoption is booming across the industry: not enough people and too much work.
According to Fox and Vincent, the opportunities with AI don’t just center around productivity; new tools can also help maintain institutional knowledge that would otherwise be lost when employees pursue work in other industries. When AI is embedded in core nuclear software systems, it provides decision support, traceable workflows, and continuity of knowledge. For Nuclearn’s customers, 2025 was a breakout year for generative AI adoption, which has allowed those companies to focus on tackling more complicated problems.
Conference attendees also discussed what the nuclear industry will look like ten years from now. For one thing, the industry needs to get younger — bringing on new talent while transferring knowledge from experts who will be leaving the field. The industry will need to focus more on research and innovation, thinking bigger in terms of the questions being answered and the problems being addressed. In both cases, AI stands to make a meaningful difference.
In summary, NBIC 2026 marked a big shift from vision to execution, focusing on actionable innovation, practical technology adoption (especially around AI), workforce realities, and building strategic partnerships within the highly regulated nuclear environment.
