RTS Nuclear + AI Briefing · December 2025
AI growth is reshaping power demand across every major data center operator. The federal government launched the Genesis Mission to accelerate national AI research. Cyber threats are evolving faster than traditional defenses. And nuclear developers and utilities are turning to AI to manage schedule pressure, documentation requirements, and workforce gaps that legacy processes cannot solve.
The future of nuclear will not be delivered through manual, paper-based workflows. It will be delivered with digitally enabled teams, AI-assisted work processes, and nuclear-specific governance that keeps safety and compliance at the center.
AI demand supercharges the US nuclear resurgence
Forbes reported more than $4 billion of new investment flowing to advanced reactor startups such as Aalo Atomics, Kairos Power, and Oklo to meet AI-driven data center demand.
The RTS perspective
AI demand is compressing timelines for the entire sector. Operators and developers need AI-assisted licensing workflows, automated documentation, and predictive construction tools. Teams that modernize now will be ready for the scale and speed the grid requires.
Source: Forbes
The Genesis Mission launches to accelerate AI research
The Administration launched the Genesis Mission to expand compute access, improve dataset availability, and accelerate national AI research.
The RTS perspective
AI now has national strategic importance, and nuclear belongs in the effort: AI models, digital twins, and scientific simulations all depend on stable, carbon-free baseload energy.
Source: NBC News
AI and cyber threats reshape infrastructure security
Security experts report adversaries using AI-accelerated tools to target industrial control systems across sectors.
The RTS perspective
Cyber resilience is now inseparable from nuclear operations. AI deployments must build in governance, model traceability, controlled data sources, and continuous validation from the start.
Source: HSToday
Can AI deliver nuclear projects on time and on budget?
ANS highlighted AI in nuclear construction at Westinghouse, Aalo Atomics, and Microsoft, focused on scheduling, permitting acceleration, and risk reduction.
The RTS perspective
Schedule certainty is one of the hardest challenges in nuclear. AI-enabled documentation, predictive scheduling, and integrated risk models are showing measurable improvements, especially in supply chain modernization and construction readiness.
Source: American Nuclear Society
New RTS research: Strengthening the Nuclear Supply Chain with AI Intelligence
The RTS research brief finds that traditional NQA-1 vendor frameworks and manual procurement reviews cannot keep pace with accelerated build schedules. Key insights:
- Automated vendor qualification and scoring using natural language processing.
- Predictive risk modeling for fabrication, logistics, and long-lead components.
- AI-based compliance workflows for Part 810, EAR, and export controls.
- Field-first training and workforce enablement for global supplier networks.
A case study shows how the Fermi America campus uses coordinated AI systems to align ASME Section III documentation, Commercial Grade Dedication plans, and inspection schedules across vendors. Request the report from RTS applications research.
The RTS view
AI is now an operational requirement for nuclear. It is already influencing how organizations design, operate, train, and procure, and the teams that prepare early will lead the next decade of growth.
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