Two countries are moving beyond the hype and building the infrastructure that could power the next generation of AI. South Korea announced a comprehensive strategy to develop small modular reactors (SMRs), nuclear fusion, and five other advanced technologies as national growth engines, while Canadian researchers are simultaneously solving one of the thorniest technical problems: how to safely integrate nuclear power with battery storage and AI systems.

Why Is South Korea Betting Billions on Nuclear and Fusion?

On August 12, South Korea's government unveiled an ambitious seven-pillar strategy designed to secure the massive amounts of electricity required for semiconductors, AI data centers, and what officials call "physical AI". The plan reflects a strategic pivot: rather than chase the current AI boom alone, the country is preparing for what comes after by developing technologies that can generate sustained economic growth for decades.

The seven targeted industries include small modular reactors, nuclear fusion, renewable energy, quantum technology, aerospace, advanced biotechnology, and advanced materials and components. South Korea plans to commercialize a light-water small modular reactor in Gijang County, Busan, by 2035, with non-light-water reactor construction targeted to begin during the 2030s. The government also plans to build a Korean-designed experimental fusion reactor capable of 100 megawatts of demonstration output by the same deadline.

"We must take advantage of the extraordinary opportunity created by the semiconductor industry and prepare in advance for the AI era and what comes after it," said President Lee Jae Myung.

President Lee Jae Myung, South Korea

What makes South Korea's approach distinctive is its funding model. The government plans to establish special-purpose companies jointly funded by public and private sectors from the early stages of development. This structure allows large-scale research and commercialization while reducing investment risk for private companies, a model Lee suggested should be applied to other strategic industries where private-sector risk tolerance is too low.

How Are Researchers Solving the Nuclear-AI Integration Problem?

While South Korea plans the long-term infrastructure, Canadian researchers at Ontario Tech University and Aegis Critical Energy Defence Corp. are tackling the immediate technical challenge: how to safely operate small and micro modular reactors (SMRs and MMRs) alongside battery storage in real-world applications. The two organizations announced a $480,000 research collaboration through the Mitacs Accelerate program to develop and test a digital-twin-enabled control platform.

A digital twin is essentially a virtual replica of a physical system that allows engineers to test different scenarios, failures, and security threats before deploying actual equipment. In this case, the platform will simulate changing electrical loads, system faults, and cybersecurity conditions to help researchers develop reactor-aware control strategies that coordinate nuclear output, battery response, and critical loads in real time.

"Integrating small and micro modular reactors with battery storage raises control and safety questions that cannot be answered by studying either system on its own. A digital twin lets us test reactor-aware strategies against realistic load changes, system faults and cyberthreats before anything is built," explained Dr. Hossam Gaber, Professor in the Department of Energy and Nuclear Engineering at Ontario Tech.

Dr. Hossam Gaber, Professor, Department of Energy and Nuclear Engineering, Ontario Tech University

The research program includes 36 internship units that will give graduate researchers sustained, hands-on experience in nuclear engineering, energy systems, and cybersecurity. This focus on talent development reflects a broader recognition that deploying advanced nuclear technology requires a specialized workforce that doesn't yet exist at scale.

Steps to Deploy Secure Nuclear-Hybrid Systems

• Digital Twin Modeling: Simulate integrated SMR/MMR and battery energy storage architectures for specific platforms, such as marine vessels or data centers, to identify control challenges before construction begins.
• Reactor-Aware Energy Management: Develop control layers that coordinate reactor output, high-speed battery response, and critical loads in real time, ensuring stable power delivery even during rapid demand changes.
• Cyber-Secure Control Architectures: Design control systems tailored to nuclear-integrated environments and critical infrastructure, protecting against both physical and digital threats.
• Hardware-in-the-Loop Testing: Progress from simulation to physical testing with actual control hardware, validating the system's performance before full commercialization and regulatory certification.

What Applications Could Benefit Beyond AI Data Centers?

The Canadian research platform is designed with flexibility in mind. Beyond marine applications and AI data centers, the control framework could support ports and harbors, Arctic and remote communities, commercial and defense shipping, and disaster-response operations. In each of these settings, the ability to coordinate SMR/MMR units with battery storage could provide reliable, low-carbon power when conventional grids are unavailable or unreliable.

This multi-application approach matters because it expands the addressable market for SMR technology. Rather than betting everything on a single use case, developers can deploy the same core platform across diverse infrastructure challenges, reducing per-unit development costs and accelerating commercialization timelines.

The Canadian research builds on earlier collaborative frameworks. Aegis, Ontario Tech, and Malahat Energy Systems Inc. established a memorandum of understanding in February 2026, followed by a Mitacs-Horizon Europe International Mobility Award in April 2026. The current $480,000 project converts these initial partnerships into funded, milestone-driven work with defined deliverables, signaling that the technology is moving from concept to practical development.

South Korea's strategy and Canada's technical research represent two complementary approaches to the same challenge: how to power the AI era sustainably and reliably. South Korea is building the long-term industrial capacity and supply chains; Canada is solving the immediate engineering problems that make deployment possible. Together, they suggest that the nuclear-AI convergence is no longer theoretical. It's becoming infrastructure.