Nuclear Leaders Highlight Power Needs for AI Era
Global nuclear industry leaders convened in Busan under the theme "Nuclear energy for the AI era," positioning nuclear power as a core response to surging electricity demand driven by AI and hyperscale data centers. The joint Korea Atomic Industrial Forum and Pacific Basin Nuclear Conference mobilized roughly 19,000 participants, with 156 companies from 19 countries exhibiting technologies and project proposals. Delegates flagged a projected 1,300 terawatt-hours of data center demand by 2035 and cited AI-related power growth above 120% annually through 2028, prompting major tech firms to invest over $30 billion in nuclear projects during the past 18 months. Policy targets such as the United States' goal of 400 gigawatts by 2050 and planned reactor startups this year underline a tangible shift toward deploying large reactors and SMR options, with supply-chain players like Hyundai Engineering & Construction and Doosan Enerbility playing active roles.
What happened
Global nuclear industry leaders met in Busan at the Korea Atomic Industrial Forum (KAP) cohosted with the Pacific Basin Nuclear Conference (PBNC) under the banner "Nuclear energy for an AI-powered World." The combined event drew about 19,000 participants, with 156 companies from 19 countries exhibiting at the Busan International Nuclear Industry Exhibition. Speakers and panels stressed that growth in AI and hyperscale data centers is materially reshaping electricity demand, citing a projection of 1,300 terawatt-hours for data centers by 2035 and AI-related power growth exceeding 120% annually through 2028.
Technical details
Presentations and industry briefings covered deployment strategies for both large reactors and SMR designs, reactor life extensions, and integration with grid decarbonization plans. Notable technical notes include:
- •Discussions of conventional reactor deployment and export models, with references to AP1000 procurement and EPC partnerships led by Hyundai Engineering & Construction.
- •Supply-chain emphasis on heavy components and fabrication, with Doosan Enerbility supplying reactor vessels and steam generators.
- •Operators and developers evaluating firm, dispatchable baseload paired with flexible dispatch strategies to accommodate variable renewable generation and AI-driven load growth.
Context and significance
The Busan gathering signals a strategic reframing of nuclear from a climate-only technology to a key infrastructure enabler for the digital economy. Major technology firms have committed over $30 billion to nuclear over the last 18 months, signaling demand-side procurement as a new commercial driver. Policy moves such as the United States' targeted expansion to 400 gigawatts by 2050 and the expectation of about 15 new reactors coming online in 2026 point to synchronized industrial, corporate, and government action. The presence of developers like Fermi Nuclear-leading an 11-gigawatt project in Texas-and participants from the Czech Republic, France, and the United States highlights active cross-border project pipelines.
Why practitioners should care
Grid planners, energy modelers, ML ops architects, and data center engineers need to incorporate dispatchable nuclear capacity into capacity planning models. Nuclear's low-carbon, high-capacity-factor profile changes the economics of colocated compute and enables new designs for electrified AI workloads, provided projects clear permitting and financing hurdles. Attention to supply-chain timelines, component lead times, and licensing regimes is now as relevant to cloud and AI infrastructure teams as GPU procurement.
What to watch
Monitor SMR demonstration timelines, offtake agreements between hyperscalers and nuclear projects, and how operators pair firm nuclear generation with flexible load control for AI centers. Watch for concrete procurement deals and financing announcements from major tech firms that will move commitments from intent to contracted capacity.
Bottom line
Busan crystallized a practical alignment between AI-driven electricity demand and nuclear deployment strategies. The conference advanced the narrative from theoretical need to actionable project pipelines, supply-chain commitments, and policy targets, making nuclear a near-term variable in infrastructure planning for AI-scale compute.
Scoring Rationale
The conference signals a notable shift linking AI-driven electricity demand to nuclear deployment, with concrete investments and policy targets. It is strategically important for infrastructure and grid planning but not an industry-changing technological breakthrough.
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