The nuclear industry and high-tech sector operate on fundamentally different timelines, risk philosophies, and regulatory frameworks, creating friction as AI companies push for rapid deployment of advanced reactors to power data centers. While the energy demand from artificial intelligence facilities is real and urgent, successfully scaling nuclear power will require both industries to understand and respect each other's cultures, according to industry experts.

Why Are AI Companies Suddenly Interested in Nuclear Power?

Data centers and AI facilities require massive amounts of reliable, carbon-free electricity around the clock. Unlike solar and wind farms, which generate power intermittently, nuclear plants provide firm baseload power whenever the grid needs it. This makes nuclear an attractive option for companies building the infrastructure to train and run large language models and other AI systems. The demand is so significant that multiple reactor vendors are now designing small modular reactors (SMRs) specifically to support data center growth.

One concrete example of this emerging partnership is underway in the offshore sector. CORE Power has launched a feasibility study to evaluate the use of BWX Technologies' mPower small modular reactor technology in floating nuclear power plants designed to be built in shipyards and deployed near energy demand centers. This represents a novel approach to meeting distributed energy needs without requiring massive land footprints.

What's the Core Tension Between Tech and Nuclear Cultures?

The friction stems from radically different approaches to risk, speed, and regulation. High-tech companies operate with a "fail fast" mentality, where rapid iteration and learning from mistakes drive innovation. In software development and hardware research, this approach works well. However, nuclear power cannot operate this way. You cannot deploy a "beta version" of a commercial reactor and fix problems as they emerge in real time.

The U.S. Nuclear Regulatory Commission (NRC) recently highlighted these concerns in a letter from its Advisory Committee on Reactor Safeguards (ACRS). The committee noted that some new reactor applicants are changing or deleting principal design criteria without sufficient technical justification, submitting licensing reports that are merely future plans without technical details, and relying too heavily on computer models without physical testing.

"The high-tech industries driving interest in some of these new reactors often operate with a culture that naturally differs from traditional nuclear safety culture. The opportunity is real, but so is the challenge. To meet the energy needs of AI and data centers, the high-tech drive for speed must be balanced with the rigorous testing, licensing discipline, and questioning attitude that have long defined the nuclear industry," noted Dr. José N. Reyes, an expert in nuclear reactor design and safety culture.

Dr. José N. Reyes, Nuclear Industry Expert

How Do These Two Industries View Rules and Procedures Differently?

Nuclear safety thrives on being highly procedural and rules-driven. Every action is documented, verified, and checked against established regulations and quality assurance requirements. This approach guarantees operational predictability and public safety. However, tech leaders often view rigid procedures as undue interference in management and product development. They want to move quickly and reduce procedural friction, which runs counter to the careful, methodical nature of nuclear licensing.

The timeline expectations also differ wildly. Historically, nuclear innovation has been incremental and deliberate. For example, it took over a decade for parts of the industry to transition from paper-based work to digital control systems. Tech culture, by contrast, is built for hyperscale growth, with expectations for rapid adoption of new tools and instantaneous scaling. When tech leaders look at the timeline for deploying a nuclear plant, they are often shocked by the lengthy regulatory and construction schedules.

Steps to Bridge the Cultural Divide in Nuclear-AI Partnerships

• Establish Shared Language: Nuclear executives and tech hyperscalers often do not speak the same language, leading to massive communication gaps. A tech CEO might ask for deployment timelines based on software scaling metrics, while a nuclear design engineer responds with timelines based on testing programs and NRC review cycles. Creating common terminology and mutual understanding is essential.
• Commit to Rigorous Testing: While computational methods have advanced significantly, reliable data from component and integral system tests remain essential for verifying key safety aspects. Tech companies must accept that physical testing is not a bottleneck but a fundamental requirement for public safety and regulatory approval.
• Respect the Licensing Process: The NRC review process exists to ensure public safety. Rather than viewing it as an obstacle to speed, applicants should provide documentation backed by sound engineering, a foundation of testing, and a transparent safety case. NuScale's experience demonstrates that advanced reactor designs can move forward within the existing regulatory process when properly supported.
• Embrace Conservative Design Principles: The nuclear industry prioritizes safety over all competing goals. Nuclear organizations often over-design systems and actively minimize technical risks to avoid the consequences of potential failure. Tech companies must understand that this conservatism is not inefficiency but a proven approach to protecting public health.

Can the Two Cultures Actually Work Together?

The answer appears to be yes, but with important caveats. NuScale Power's experience with the NRC demonstrates that the regulatory process can move efficiently when applicants follow proper procedures. The company's initial 50 megawatt standard design approval required a 42-month review. However, the subsequent 77 megawatt review was completed in just 22 months, showing that the process can accelerate once foundational work is complete.

The key is that both industries must meet in the middle. Tech companies need to accept that nuclear deployment timelines are longer than software releases, but they are not arbitrary. Nuclear professionals, meanwhile, should remain open to new manufacturing methods like 3D printing that might improve safety and efficiency, even if they represent departures from historically proven methods. These innovations require extensive testing before adoption, but they should not be rejected outright simply because they are new.

The demand for clean, reliable baseload power is not going away. Data centers and AI facilities will continue to require massive amounts of energy, and they need it around the clock. Advanced nuclear power is one of the clearest options for meeting this demand, but successful deployment will require both industries to respect each other's expertise and constraints. The nuclear industry's safety culture has kept reactors operating safely for decades. The tech industry's innovation speed has transformed the world. Together, they can deliver the clean energy future that AI demands, but only if they learn to speak the same language.