Can nuclear energy become the backbone of AI infrastructure in the 2030s? Lessons from X-energy, Amazon, and South Korea’s nuclear giants

The race to secure reliable, carbon-free energy for artificial intelligence workloads is pushing global technology and energy giants toward unlikely alliances. The recent partnership between X-energy Reactor Company, Amazon, Korea Hydro & Nuclear Power Corporation (KHNP), and Doosan Enerbility signals a historic shift in how advanced nuclear technology may underpin the next decade of AI growth. By committing to deploy more than five gigawatts of small modular reactor (SMR) capacity in the United States by 2039, the coalition is making a bold bet that nuclear energy could become the new backbone of AI infrastructure in the 2030s.

The deal, which envisions up to USD 50 billion in public and private investment, brings together U.S. nuclear innovation, Korean manufacturing expertise, and the cloud infrastructure demand of one of the world’s largest hyperscalers. In effect, it positions nuclear energy not only as a climate solution but as a strategic enabler of the digital economy—particularly artificial intelligence, where workloads and energy requirements are escalating at unprecedented rates.

Why are hyperscalers like Amazon turning to nuclear energy to power AI workloads?

Artificial intelligence is not just software—it is a hardware and energy story. Training large-scale AI models and running inference at hyperscale requires massive, round-the-clock electricity consumption. Amazon Web Services, like its peers Microsoft Azure and Google Cloud, has been investing heavily in renewable power purchase agreements to support its net-zero goals. Yet the volatility of wind and solar generation, coupled with growing scrutiny over data center power draw, has forced hyperscalers to explore alternatives that can deliver continuous, carbon-free electricity.

Nuclear energy—particularly modular reactors like X-energy’s Xe-100—offers an attractive proposition. Unlike solar or wind, SMRs can provide baseload stability while being deployed closer to demand centers. They are also more scalable and quicker to construct than traditional gigawatt-scale reactors. For Amazon, securing a dedicated nuclear supply for data centers reduces exposure to volatile electricity markets while enhancing energy security, especially as AI adoption accelerates in the enterprise sector.

Industry observers argue that nuclear could evolve into a “new oil” for AI—not in terms of carbon intensity, but in its strategic importance to sustaining economic competitiveness. Just as oil defined the geopolitics of the 20th century, clean baseload energy may shape the AI economy of the 21st.

What makes the U.S.–South Korea nuclear alliance significant for global SMR development?

The X-energy collaboration reflects a deliberate alignment of U.S. and South Korean industrial strengths. South Korea’s KHNP is one of the most successful nuclear operators worldwide, having built and maintained large fleets both domestically and abroad. Doosan Enerbility, meanwhile, is a global leader in nuclear component manufacturing, providing the heavy forgings and reactor parts required for construction.

By partnering with X-energy, both KHNP and Doosan are securing access to the U.S. market for SMRs—a segment where demand is projected to surge as states and utilities look for carbon-free baseload options. For Washington, the partnership fits neatly into its strategy of tightening industrial ties with Seoul following the USD 350 billion U.S.–Korea trade pact signed earlier this year.

Executives from both nations have emphasized the geopolitical importance of this cooperation. KHNP’s CEO described the partnership as a chance to generate “synergies in the global SMR market,” while Doosan leadership called it a model example of bilateral industrial cooperation. Analysts say this is not just a business deal but part of a broader geopolitical competition, as Western allies seek to counter China and Russia’s growing influence in the nuclear export market.

How does the U.S.–Korea partnership compare with China and Russia’s SMR strategies?

China and Russia have both advanced aggressively in SMR development, each using state-owned enterprises to export nuclear technology as part of geopolitical influence campaigns.

China’s Linglong One reactor, built on Hainan Island, became the world’s first land-based commercial SMR under construction, with plans to replicate it in Belt and Road partner countries. Russia, meanwhile, has already deployed floating SMRs through its Akademik Lomonosov project in the Arctic, with further designs in development for export markets.

Against this backdrop, the U.S.–Korea alliance is positioning itself as a credible counterweight. By tying nuclear to the AI infrastructure story, the partnership seeks to frame SMRs not just as clean energy, but as critical infrastructure for digital economies. Analysts suggest that this could make Western SMR offerings more attractive to countries where AI and digital transformation are national priorities.

What progress has X-energy already made in deploying its Xe-100 reactors?

X-energy has two major U.S. projects in advanced stages. The first is its four-reactor deployment at Dow’s UCC Seadrift site in Texas, part of the Department of Energy’s Advanced Reactor Demonstration Program. In May 2025, this project reached a milestone when the Nuclear Regulatory Commission accepted its construction permit application for review.

The second is at Energy Northwest in Washington state, where Amazon is directly involved as a project partner. The site is expected to initially host four Xe-100 reactors, with potential expansion to 12. For investors and policymakers, these projects represent proof-of-concept deployments that could unlock broader SMR adoption across U.S. utilities, manufacturing hubs, and digital infrastructure clusters.

How are institutional investors and market analysts reacting to nuclear’s AI-linked potential?

Institutional sentiment toward nuclear energy has been shifting in recent years. Once considered too costly and politically sensitive, nuclear is now being reassessed as a vital enabler of both energy security and decarbonization. Analysts describe the Amazon–X-energy deal as a turning point because it links nuclear investment directly to AI growth—two of the most powerful investment themes currently driving institutional portfolios.

For investors in Doosan Enerbility, the U.S. partnership adds a new layer of visibility to global markets, potentially boosting confidence in South Korea’s nuclear export capabilities. Amazon shareholders, meanwhile, may interpret the deal as a hedge against rising data center energy costs, strengthening AWS’s long-term margin outlook.

Market observers expect that as regulatory approvals are secured and construction milestones met, institutional flows into nuclear-linked equities will increase. Some analysts believe nuclear exposure could evolve into a core holding for funds seeking to balance climate-focused investments with AI infrastructure plays.

Could nuclear-backed AI infrastructure reshape industrial and energy markets in the 2030s?

If the U.S.–Korea partnership delivers on its promise of five gigawatts of SMR capacity by 2039, the implications extend far beyond Amazon’s data centers. Nuclear could become a mainstream choice for powering advanced manufacturing facilities, semiconductor fabs, and other high-load industrial sites.

For AI in particular, securing clean, stable energy supply is no longer optional. Industry estimates suggest that data centers could consume up to 8% of global electricity by 2030, with AI accounting for a growing share. Without new baseload solutions, power costs and carbon constraints risk becoming bottlenecks to AI adoption. Nuclear offers a pathway to scale without those bottlenecks, making it increasingly central to long-term digital strategy.

In geopolitical terms, countries that can combine nuclear energy with AI leadership may secure advantages similar to those enjoyed by oil-rich nations in the 20th century. The Amazon–X-energy–KHNP–Doosan alliance is therefore not only an industrial partnership but a marker of how global power competition is shifting into new domains.

Can nuclear energy truly become the new oil for artificial intelligence and global digital infrastructure in the 2030s?

The alliance between X-energy, Amazon, KHNP, and Doosan is more than a deal—it is a signpost for where energy and digital infrastructure are converging. By marrying advanced nuclear with AI’s insatiable power demands, the partners are betting that nuclear will play the role oil once did in shaping geopolitics, economics, and industrial competitiveness.

For investors, policymakers, and technology strategists, the lesson is clear: the AI economy of the 2030s may be built not only on algorithms and silicon, but on the steady hum of next-generation nuclear reactors.