AI for nuclear energy: Powering an intelligent, resilient future

The world is experiencing an unprecedented demand for power, yet our existing infrastructure is stuck in the past. The rapid growth of digital technologies and the need for sustainable supply chains make it clear that we urgently require reliable, carbon-free energy sources. Nuclear energy is the key to this future, but the industry faces significant challenges. Before any construction can begin, important projects are often delayed due to overly complex engineering requirements, scattered data, and extensive manual regulatory processes.

This is where AI steps in. To help overcome these infrastructure challenges and move the nuclear industry from vision to reality, Microsoft is partnering with NVIDIA to create an AI initiative focused on nuclear energy. This collaboration aims to develop comprehensive tools that simplify permitting, speed up design processes, and enhance operations across the industry.

This technological suite applies systematic engineering principles throughout a nuclear plant’s entire lifecycle—from permitting sites and designing to constructing and ongoing operations. With these tools embedded in a connected, AI-driven framework, energy developers can make intricate tasks more manageable, traceable, and efficient—ultimately reducing project timelines and avoiding unnecessary rework, all while prioritising safety.

Building a Digital Foundation for Nuclear Energy

Designing and permitting a nuclear plant may be even more intricate than constructing one. The permitting process itself can span years, cost millions, and necessitate a massive amount of data handling and reporting. The hurdles aren’t down to a lack of information or commitment but stem from inefficiencies in navigating the rigorous permitting and development stages.

Engineers often spend countless hours drafting, checking, formatting, searching, and revising documents. They must identify and correct discrepancies across thousands of pages, which explains why projects often face significant delays and budgeting issues.

To eliminate these bottlenecks, we must shift from bespoke engineering toward standardised, reference-based delivery, while still adhering to regulatory standards and ensuring engineering accountability.

AI helps rapidly pinpoint and address even minor documentation inconsistencies. By integrating data and simulations throughout the lifecycle, we can ensure that complex tasks remain:

• Traceable: Every engineering decision connects digitally to the evidence and regulations backing it.
• Audit-Ready: The system maintains a flawless “paper trail,” allowing regulators to verify safety measures instantly.
• Secure: Advanced security measures are integrated within a safeguarded environment.
• Predictable: High-accuracy simulations anticipate costs and timelines, helping to identify potential delays before they occur.

It’s not just about speed; it’s about building trust. Engineers and regulators can focus on what really matters: creating a safe, secure, high-capacity source of carbon-free power that’s delivered on schedule and within budget.

Here’s how AI and Digital Twins can streamline a project from inception to efficient operations:

• Design and Engineering: Through Digital Twins and precise simulations, engineers can iterate quickly. They can reuse proven designs and instantly assess how small changes affect the overall model, leading to a validated plan even before the first shovel hits the ground.
• Licensing and Permitting: Generative AI takes on the heavy lifting of document preparation and gap analysis. It brings together all project information, ensuring complete applications that align with historical permits. This allows expert regulators to devote their efforts to safety evaluations rather than reconciling extensive documents.
• Construction and Delivery: Unlike traditional 3D models that only represent physical spaces, 4D (time) and 5D (cost) simulations can virtually construct the plant before any physical work begins. AI and Digital Twins allow developers to monitor real-time progress against the digital plan, catching possible delays early to avoid costly repairs.
• Operations and Maintenance: AI-driven sensors and operational digital twins can detect issues early, ensuring higher uptime and predictive maintenance that keeps the grid stable while allowing human operators to maintain control.

By integrating data, traceability, and simulations across different phases, AI speeds up design validation using high-quality 3D models and Digital Twins. It also enhances the consistency of licensing through AI-assisted document management, providing stakeholders with ongoing visibility into design assumptions and operational performance.

Accelerating Nuclear Power Delivery: Success Stories

<pOur collaboration is already reshaping how nuclear energy is delivered.

Aalo Atomics

Aalo Atomics has slashed the previously lengthy permitting process by an impressive 92% using Microsoft’s Generative AI for Permitting solution, saving about $80 million annually. For Aalo, the true value of the collaboration with Microsoft and NVIDIA lies not just in speed, but in building confidence.

“Two things are paramount: the complexity of enterprise-scale operations and the need for reliable results. We’re implementing something intricate at a scale that only a company like Microsoft can truly manage. It’s crucial to have nothing less than proven reliability.”

—Yasir Arafat, Chief Technology Officer, Aalo Atomics

Southern Nuclear

Southern Nuclear has created and deployed AI assistants using Microsoft Copilot throughout its operations to enhance consistency, speed up knowledge sharing, and support improved decision-making in key tasks.

Idaho National Laboratory

In the public sector, the Idaho National Laboratory (INL) has been quick to adopt AI for nuclear application. By automating the preparation of complex engineering and safety analysis reports, INL has streamlined its review processes and developed standard methods for regulators to safely use these tools, accelerating deployment further.

Building an Ecosystem: Everstar and Atomic Canyon’s Innovations

Microsoft is actively broadening this secure digital ecosystem. Everstar, an NVIDIA Inception startup, provides specialised AI for nuclear on Azure, modernising how the industry manages project workflows and regulated data pipelines.

“The nuclear sector has been hindered by documentation overload and regulatory complexities for decades. This partnership means our clients receive the secure, scalable cloud solutions they need. It’s a major leap toward making nuclear energy faster, safer, and unstoppable.”

—Kevin Kong, Chief Executive Officer, Everstar

We’re also thrilled to spotlight Atomic Canyon, whose Neutron platform is now accessible in the Microsoft Marketplace. This will allow nuclear developers to implement these capabilities with consistency and reliability via trusted procurement avenues.

Moving Forward at the Required Pace

AI is empowering the energy sector to deliver more electricity both quickly and safely. This collaboration between Microsoft and NVIDIA lays out the roadmap for advanced developers, owners, and operators. By transforming fragmented, high-variance workflows into systematic, verifiable processes, we can shorten timelines without sacrificing quality. With unified data, simulations, and evidence throughout design, permitting, construction, and operations, we are hastening the introduction of stable, carbon-free power while enhancing regulatory confidence and operational resilience.

This AI for nuclear collaboration combines NVIDIA Omniverse, NVIDIA Earth 2, NVIDIA CUDA-X, NVIDIA AI Enterprise, PhysicsNeMo, Isaac Sim, and Metropolis with Microsoft Generative AI for the Permitting Solution Accelerator and Microsoft Planetary Computer to forge a holistic, AI-enabled digital ecosystem for nuclear energy on Azure.

Microsoft, NVIDIA, and Aalo Atomics will showcase this AI-driven perspective at CERAWeek 2026 during a session titled “A Digital Age for Nuclear: Aalo Atomics, NVIDIA, and Microsoft.”

Learn More About This Transformation

Are you ready to shift from plans to execution? Explore how the Microsoft and NVIDIA collaboration can drive meaningful change within your organisation.

Contact us to find out more.