The world is racing to meet a historic surge in power demand by leveraging infrastructure pipelines built for the analog era. The rapid expansion of digital technologies and the re-industrialization of supply chains make the imperative for always-on carbon-free electricity urgent and imperative. Nuclear energy is the essential backbone of this future, but the industry remains mired in supply bottlenecks. Before the shovel even hits the ground, highly customized engineering, fragmented data, and mountains of manual regulatory reviews delay critical projects.
That’s where AI comes in. To break through infrastructure bottlenecks and move the industry from aspiration to reality, Microsoft is announcing AI for Nuclear Collaboration with NVIDIA to provide end-to-end tools to streamline permitting, accelerate design, and optimize operations across the industry.
This suite of technologies brings disciplined engineering to the entire nuclear power plant lifecycle, from site permitting, design, construction, and ongoing operations. By enabling these capabilities within a connected, AI-powered foundation, energy developers can make highly complex work repeatable, traceable, safe and predictable, shortening development schedules and eliminating rework without sacrificing safety.
Digital foundation for large-scale nuclear power
The only thing more complicated than building a nuclear power plant is its design and permitting. Permits alone can take years, cost hundreds of millions of dollars, and require massive amounts of data processing and reporting. What holds development back is not a lack of need, knowledge, or even desire, but an inability to progress efficiently and consistently through a rigorous permitting and development process.
Engineers can spend thousands of hours creating, cross-referencing, formatting, searching, reviewing, and reworking documentation. They must identify and fix inconsistencies across tens of thousands of pages. It’s no wonder the plant is notorious for construction delays and cost overruns.
Eliminating this infrastructure bottleneck requires moving from highly customized engineering to repeatable, reference-based delivery while maintaining regulatory standards and engineering accountability.
Using AI, you can identify small discrepancies in your documents and quickly resolve them. By integrating data and simulation throughout the lifecycle, we ensure that the complexities remain in place.
- traceable: Every engineering decision is digitally linked to supporting evidence and regulations.
- Audit response: The system maintains a complete “paper trail” and allows regulators to instantly verify safety.
- safe: A high level of intelligence is applied within a managed and protected environment.
- predictable: Map time and costs in high-fidelity simulations to catch delays before they occur in the real world.
This isn’t just a speed issue. It’s about trust. Engineers and regulators can now focus on what matters most: building safe, secure, high-capacity, carbon-free power on time and on budget.
Here’s how AI and digital twins can take your project from early stages to efficient operation.
- design and engineering: Digital twins and high-fidelity simulation enable faster iteration. Engineers can reuse proven patterns, instantly see how small design changes affect the overall model, and create a validated plan before construction begins.
- Licenses and Permits: Generative AI handles the heavy lifting of documentation and gap analysis. Consolidate all project information to ensure a comprehensive application aligned with past permits. This allows specialized regulators to focus their time on safety decisions rather than collating thousands of pages of documents.
- Construction/Delivery: While traditional 3D models only map physical space, 4D (time scheduling) and 5D (cost tracking) simulations allow you to virtually build your plant before the shovel hits the ground. Using AI and digital twins, developers can track physical progress against digital plans in real time, allowing them to understand potential delays and avoid schedule conflicts that lead to costly rework.
- Operation and maintenance: AI-powered sensors and operational digital twins detect anomalies early, ensuring higher availability and predictive maintenance that maintains grid stability with tight human operator control.
By integrating data, traceability, and simulation across phases, AI accelerates design validation with high-fidelity 3D models and digital twins, improves licensing consistency through AI-assisted documentation workflows, connects design assumptions to operational performance, and provides clear, continuous visibility for operators, regulators, and stakeholders.
Accelerating delivery: How Aalo Atomics, Idaho National Laboratory, and Southern Nuclear are deploying AI for nuclear power
Proof is in progress. Our cooperation is already changing the pace of nuclear transport.
Arlo Atomics
Aalo Atomics uses Microsoft Generative AI for Permitting solutions to reduce time-consuming permitting processes by 92%, saving an estimated $80 million annually. For Aalo, the value of the Microsoft and NVIDIA collaboration isn’t just about speed, it’s about confidence.
“Two things are most important: enterprise-scale complexity and mission-critical reliability. We’re deploying complexity at a scale that only companies like Microsoft can understand. Nothing but proven reliability exists”
—Yasir Arafat, Chief Technology Officer, Aalo Atomics
southern nuclear
Southern Nuclear used Microsoft Copilot to develop and deploy agents across its fleet, including engineering and licensing, to improve consistency, reuse knowledge faster, and support better decision-making in key workstreams.
idaho national laboratory
When it comes to the public sector, specifically the US federal, the Idaho National Laboratory (INL) was an early adopter of AI in nuclear technology. By using AI capabilities to automate the creation of complex engineering and safety analysis reports, INL is streamlining the review process and creating a standard methodology for regulators to safely adopt these tools, further accelerating deployment.
Expanding the ecosystem: How Everstar and Atomic Canyon are running AI for nuclear power on Microsoft Azure
Microsoft is actively expanding this secure ecosystem. NVIDIA Inception startup Everstar brings domain-specific AI for nuclear power to Azure, modernizing how the industry manages project workflows and managed data pipelines.
“For decades, the nuclear industry has been bottlenecked by documentation burdens and regulatory complexity. This partnership means we can deliver the secure and scalable cloud deployments our customers demand. This is an important step towards making nuclear power fast, safe and unstoppable”
—Kevin Kong, Everstar CEO
We’re also excited to introduce you to Atomic Canyon. Its Neutron platform is now available on Microsoft Marketplace, enabling nuclear power developers to deploy these capabilities with consistency and control through trusted procurement channels.
progress at the pace needed in this moment
AI will enable the energy industry to deliver more power, faster and more securely. This collaboration between Microsoft and NVIDIA provides a path for advanced developers, owners, and operators to do just that. By turning fragmented and disparate workflows into managed, auditable systems, you can compress timelines without compromising rigor. By integrating data, simulation, and evidence across design, permitting, construction, and operations, we accelerate the deployment of stable, carbon-free power while strengthening regulatory confidence and operational resilience.
The AI for Nuclear Operations collaboration brings together NVIDIA Omniverse, NVIDIA Earth 2, NVIDIA CUDA-X, NVIDIA AI Enterprise, PhysicsNeMo, Isaac Sim, and Metropolis with Microsoft Generative AI for Permitting Solution Accelerator and Microsoft Planetary Computer to create a comprehensive AI-powered digital ecosystem for nuclear energy on Azure.
Microsoft, NVIDIA, and Aalo Atomics will introduce this AI-driven industry perspective at CERAWeek 2026 in a session titled “Nuclear Digital Age: Aalo Atomics, NVIDIA, and Microsoft.”
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Ready to move from ambition to reality? See how the collaboration between Microsoft and NVIDIA Nuclear for AI can drive change within your organization.
Please contact us for more information.
Darryl leads a global team driving digital transformation across the energy sector through the deployment of Microsoft cloud, AI technologies, and partner solutions. With deep knowledge of the global energy sector, Daryl leads this cross-functional team to build strategic partnerships to help deliver the energy transition, reduce carbon emissions and meet growing demand for renewable resources.
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