Small Modular Reactors (SMRs) as the Energy Backbone of AI Infrastructure: A High-Conviction Investment Theme for 2026–2030

Generated by AI AgentCarina RivasReviewed byDavid Feng
Wednesday, Dec 3, 2025 4:45 pm ET3min read
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- AI's energy surge drives SMR demand, with U.S. data centers projected to consume 11–12% of electricity by 2030.

- Tech giants like

, Google, and are investing in SMRs to secure reliable, 24/7 power for .

- SMR market growth (9.1% CAGR) is fueled by modular design, rapid deployment, and carbon-free baseload power advantages over

.

- Government support and regulatory reforms (e.g., U.S.-UK Atlantic Partnership) accelerate SMR deployment, reducing historical nuclear project risks.

- High-conviction investment theme emerges as AI's energy needs outpace efficiency gains, making SMRs a necessity for carbon-free digital infrastructure.

The exponential growth of artificial intelligence (AI) is reshaping global energy demand, with data centers

of U.S. electricity by 2030, up from 3–4% today. This surge has thrust Small Modular Reactors (SMRs) into the spotlight as a scalable, carbon-free solution to power the AI-driven digital economy. With the global SMR market in 2024 to $13.8 billion by 2032 at a 9.1% compound annual growth rate (CAGR), SMRs are no longer a speculative niche but a critical infrastructure play. For investors, the convergence of AI's energy needs and SMRs' technological and regulatory momentum presents a high-conviction investment theme for 2026–2030.

Market Dynamics: AI as the Catalyst for SMR Adoption

The AI revolution is the linchpin driving SMR demand. Hyperscalers like

, Google, and are committing to multi-gigawatt SMR deployments to secure reliable, 24/7 power for their data centers. Amazon's $500 million investment in Energy Northwest's Xe-100 reactors, Google's 500 MW agreement with Kairos Power, and Microsoft's 837 MW deal with of addressing AI's energy appetite. These partnerships are not merely strategic-they are existential. As AI models grow in complexity, energy consumption per query balloons: a ChatGPT interaction requires 2.9 watts, .

The market is responding. By 2045, SMR capacity is

(GWe), with a market value of $200–500 billion. This growth is fueled by SMRs' unique attributes: modular design, rapid deployment (12–24 months vs. 8–12 years for traditional reactors), and 24/7 baseload power with minimal transmission losses. For AI infrastructure, which demands both energy density and reliability, SMRs offer a compelling alternative to renewables, which require costly storage, and natural gas, which carries carbon and geopolitical risks.

Technological Advancements and Strategic Partnerships

Recent quarters have seen a surge in SMR innovation and corporate collaboration. NuScale Power's VOYGR system, designed for data center deployments, and Rolls-Royce's 470-MW SMR in the UK,

, highlight the technology's maturation. Meanwhile, startups like Oklo and Kairos Power are leveraging partnerships with tech giants to tailor solutions. Oklo, for instance, , while Kairos Power's molten salt reactor design aligns with Google's need for compact, high-efficiency power.

Government support is accelerating deployment. The U.S. and UK's Atlantic Partnership for Advanced Nuclear Energy aims to synchronize regulatory approvals, while the U.S. Executive Order 14300

for SMR applications. Canada's approval of GE Hitachi's BWRX-300 reactor at Darlington, , further demonstrates the global momentum. These developments reduce the risk of regulatory bottlenecks, a historical drag on nuclear projects.

Financial Analysis: Valuation Divergence and Risk Profiles

The SMR sector is marked by stark valuation differences. TerraPower, with its Natrium reactor and $3.4 billion in funding (including $2 billion from the U.S. Department of Energy),

at $4.1 million per megawatt. X-Energy, backed by Amazon's 5 GW deployment commitment, has raised $985 million and commands a $600 million valuation. Conversely, , despite a 1213.5% year-over-year revenue jump in Q3 2025, faces skepticism due to its high forward P/S ratio of 59.63X, far above industry peers.

Investors must weigh these valuations against execution risks. While SMRs promise faster deployment, regulatory delays and supply chain constraints remain hurdles. For example, Last Energy's aggressive 2028 timeline is tempered by its low capital per MW and

. Yet, the urgency of AI-driven energy demand is forcing tech firms to become de facto nuclear developers. Google's first corporate SMR purchase agreement and Microsoft's Three Mile Island restart the energy landscape.

Risks and Counterarguments: Efficiency Gains and Regulatory Hurdles

Critics argue that emerging technologies like neuromorphic computing and photonic chips could reduce AI's energy consumption by 1,000x,

. While valid, these innovations are still in early commercialization (2024–2028), aligning with SMRs' projected deployment windows (2028–2030). Moreover, AI's energy needs are not static; even with efficiency gains, the sheer scale of AI adoption will likely outpace savings.

Regulatory and public acceptance risks persist, but reforms like the U.S. Department of Energy's funding and the UK's Rolls-Royce SMR approval signal a shift toward pragmatism. SMRs' passive safety features and factory-based manufacturing also

about cost overruns and construction delays.

Conclusion: A High-Conviction Play for the AI Era

SMRs represent a rare intersection of technological innovation, regulatory tailwinds, and existential demand from the AI sector. While risks exist-ranging from execution challenges to disruptive efficiency gains-the urgency of securing reliable, carbon-free power for AI infrastructure makes SMRs a high-conviction investment theme. For investors, the key is to differentiate between companies with credible designs, strategic partnerships, and regulatory momentum (e.g., TerraPower, X-Energy) and those relying on speculative hype. As AI's energy footprint expands, SMRs are not just a solution-they are a necessity.

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