The race to power artificial intelligence is pushing nuclear energy into new territory, with national laboratories and global construction firms developing specialized infrastructure designed specifically for AI data centers. Rather than waiting for the grid to catch up, organizations are combining AI-driven data management with next-generation nuclear power sources, including small modular reactors (SMRs) that can be deployed in locations where traditional large nuclear plants aren't practical.

Why Are National Labs Partnering With AI Software Companies?

The Savannah River National Laboratory (SRNL) has launched a Cooperative Research and Development Agreement with Silica-X, an artificial intelligence company specializing in knowledge discovery and data management. This partnership aims to transform how researchers interact with AI by creating domain-specific "brains" in fields like critical minerals recovery and small modular reactor fuel cycle design.

The collaboration centers on WastePoint.ai, a software platform that uses hyper-efficient data workflows to streamline AI-driven research. Rather than forcing scientists to work with generic AI models, the system allows subject matter experts to build specialized knowledge modules that connect to centralized repositories of information. Early testing at SRNL has already revealed insights into long-standing scientific questions, demonstrating the potential of this approach.

"This partnership isn't just about science, it's about impact. Our relationship with Silica-X has given us the opportunity to co-develop aspects of what could be a game-changing AI tool," explained Cory Trivelpiece, an SRNL researcher. "This work signals an opportunity to create a new paradigm for how the scientific community interacts with foundational AI models, to accelerate innovation in a way that previously was not possible."

Cory Trivelpiece, SRNL Researcher

The partnership builds on a seven-year relationship between SRNL and Silica-X, which earned a 2025 R&D 100 Award for innovation. The agreement will be based at SRNL's Advanced Manufacturing Collaborative, positioning the facility as a hub for testing and enhancing AI tools that could eventually benefit the entire Department of Energy national laboratory system.

How Are Construction Companies Positioning Themselves for AI-Era Energy Demand?

South Korea's Daewoo Engineering and Construction is taking a different but complementary approach, expanding aggressively into energy infrastructure specifically designed to support AI data centers. The company is betting that the rapid expansion of generative AI will create sustained demand for reliable electricity supply, and it's positioning itself as a comprehensive energy solutions provider.

Daewoo E&C is leveraging decades of experience across multiple energy sectors to create integrated power solutions:

• Liquefied Natural Gas (LNG) Infrastructure: The company bills itself as the only Korean construction firm with experience across the entire LNG value chain, including central processing facilities, liquefaction plants, and storage terminals. It has completed 11 LNG liquefaction trains in Nigeria and major gas processing projects in Algeria and Nigeria, positioning it to combine gas-fired electricity generation with nearby data center campuses.
• Nuclear Power Projects: Daewoo E&C has participated in more than 30 nuclear projects since 1991, including work on the Wolsong nuclear plants and Jordan's research reactor, the first overseas nuclear reactor export led by a Korean private company. The company is currently leading construction of a next-generation research reactor in Gijang, Busan, and is participating as the lead construction contractor in Team Korea's Czech Dukovany Units 5 and 6 nuclear power project.
• Small Modular Reactor Development: The company views SMRs as a promising power source for AI data centers, industrial complexes, and urban areas where large nuclear plants are impractical. Daewoo E&C participated in early development of Korea's SMART reactor design certification project and has established partnerships with Korea Electric Power Corp. and Korea Hydro and Nuclear Power on SMR technologies.

The company's energy strategy is already being applied to AI infrastructure projects. Daewoo E&C has signed a memorandum of understanding with South Jeolla Province to develop a 500-megawatt AI data center cluster and is working on the Jangseong Pine Data Center project.

"Beyond participating in data center construction, Daewoo E&C is evolving into a global energy provider responsible for the energy infrastructure that powers the AI era. By combining our capabilities in LNG, nuclear power, SMRs and data center construction, we aim to become a total energy solutions provider," stated a company official.

Daewoo E&C Company Official

What Makes This Moment Different From Previous Energy-Tech Partnerships?

The convergence of AI software innovation and nuclear infrastructure development represents a shift in how organizations approach the energy-compute problem. Rather than treating nuclear power and AI as separate domains, these partnerships are creating feedback loops where AI tools help optimize nuclear operations, and nuclear infrastructure is designed from the ground up to support AI workloads.

The timing is significant. South Korea's government recently selected Gijang in Busan as the site for the country's first SMR project and Yeongdeok in North Gyeongsang Province for two new large-scale nuclear reactors, providing momentum for companies like Daewoo E&C to scale their capabilities. Meanwhile, SRNL's partnership with Silica-X is designed to extend benefits across the entire DOE national laboratory system, suggesting that AI-optimized nuclear research could become a coordinated national effort.

"The Genesis Mission represents a transformative step in how we apply advanced data and AI capabilities to accelerate scientific discovery and national impact. This partnership with Silica-X demonstrates how SRNL is harnessing innovative AI tools to empower researchers and strengthen the Department of Energy's mission across the national laboratory system," said Johney Green, SRNL Director.

Johney Green, Director of Savannah River National Laboratory

These developments suggest that the future of AI infrastructure may not rely solely on traditional grid expansion or renewable energy sources, but rather on a portfolio approach combining specialized nuclear facilities, advanced data management systems, and integrated energy solutions designed specifically for the demands of modern artificial intelligence workloads.