Small Modular Nuclear Reactors: Big Tech’s Clean Energy Bet for AI Data Centers
Microsoft, Google, and Amazon are signing deals for small nuclear reactors to power their energy-hungry AI operations—ushering in a nuclear renaissance.
The AI Energy Crisis Meets Nuclear Solution
AI data centers are consuming electricity at unprecedented rates. A single ChatGPT query uses 10x more energy than a Google search. Hyperscalers face a critical shortage of clean baseload power—and they’re turning to small modular nuclear reactors (SMRs) as the solution.
SMR Industry Momentum
Major Tech Deals Reshaping Energy
Microsoft’s agreement with Constellation Energy to restart Three Mile Island Unit 1 signaled a paradigm shift. The company is also backing SMR developer Helion. Google has signed with Kairos Power, while Amazon is investing in X-energy and other next-gen nuclear startups.
Tech Company Nuclear Power Agreements
“Small modular reactors represent the best path to reliable, carbon-free electricity at the scale AI requires. Solar and wind are intermittent—we need 24/7 baseload power for data centers.”
— Bobby Hollis, VP of Energy at Amazon Web Services
The SMR Advantage
Unlike traditional nuclear plants that take decades to build, SMRs are factory-manufactured and assembled on-site in years. Their smaller size means less upfront capital and the ability to deploy where power is needed. Passive safety systems eliminate Fukushima-style meltdown risks, using natural convection rather than active pumps to cool the reactor in emergencies.
The economics are compelling for tech companies facing imminent power shortages. A typical SMR produces 50-300 megawatts—enough to power a major data center campus. Traditional nuclear plants produce 1,000+ megawatts but require $15-20 billion and 15-20 years to build. SMRs can be deployed in 3-5 years at $1-3 billion per unit.
Factory fabrication transforms the construction model. Instead of custom on-site construction, SMR components are manufactured in controlled facilities with aerospace-level quality control. This standardization reduces costs, accelerates timelines, and improves safety. Multiple units can be deployed at a single site as power demand grows, offering modular scalability that traditional plants cannot match.
AI’s Insatiable Energy Appetite
The energy mathematics of artificial intelligence are staggering. Training a large language model like GPT-4 consumed an estimated 50 gigawatt-hours of electricity—equivalent to the annual consumption of 4,500 American homes. Running inference across billions of daily queries multiplies this demand continuously.
Industry analysts project AI-related electricity demand will reach 500 terawatt-hours annually by 2030—roughly equivalent to Spain’s entire national consumption. This growth is colliding with grid constraints and renewable intermittency. Solar panels don’t generate at night. Wind is unpredictable. Data centers need 99.999% uptime, which requires reliable baseload power.
AI Data Center Energy Comparison
Nuclear’s value proposition becomes clear in this context. A single SMR provides consistent 24/7 power generation with zero carbon emissions. Unlike solar or wind, nuclear doesn’t require massive battery storage or backup natural gas plants. For tech companies with aggressive climate commitments and urgent power needs, SMRs offer the only viable path to clean, reliable baseload electricity at scale.
Leading SMR Technologies
The SMR landscape features dozens of competing designs, each with different trade-offs. NuScale Power, the first SMR to receive U.S. NRC approval, uses light-water technology similar to existing plants but in a compact, modular format. Their 77-megawatt modules can be combined into larger power plants.
More advanced designs promise superior performance. Kairos Power (Google’s partner) uses molten salt coolant that operates at lower pressure, eliminating explosion risks. X-energy (Amazon’s partner) uses gas-cooled pebble bed technology that can’t physically melt down—the fuel is designed to passively cool itself even with complete loss of active systems.
TerraPower, backed by Bill Gates, is building a sodium-cooled reactor in Wyoming that will store heat in molten salt, enabling load-following capability that can ramp output to match demand. This flexibility makes nuclear compatible with variable renewable generation—something traditional plants struggle to achieve.
Regulatory and Public Perception Challenges
Despite the technology’s promise, SMRs face significant hurdles. Regulatory approval processes remain lengthy and expensive. The NRC was designed for traditional large reactors and is still adapting procedures for factory-built modular designs. Licensing a new reactor type can take 5-10 years and cost hundreds of millions in review fees.
Public perception presents another challenge. Nuclear energy carries historical baggage from Chernobyl, Three Mile Island, and Fukushima—even though modern SMR designs have fundamentally different safety profiles. Environmental groups remain divided, with some embracing nuclear as essential for decarbonization while others oppose it categorically.
The economics remain unproven at commercial scale. NuScale’s first project was cancelled in 2023 when cost estimates ballooned from $4.2 billion to $9.3 billion. While subsequent designs claim improved economics, no SMR has yet been built in the Western world at the projected costs. Tech company backing provides patient capital, but the industry must deliver on cost projections to achieve mass deployment.
Investment and Market Implications
The SMR opportunity spans multiple sectors. Pure-play nuclear companies like NuScale Power (NYSE: SMR) offer direct exposure but carry technology and regulatory risk. Uranium miners benefit from any nuclear expansion—Cameco and Kazatomprom dominate supply. Nuclear equipment suppliers like BWX Technologies and Rolls-Royce have SMR divisions.
The tech giants themselves may become the most significant beneficiaries. Companies that secure reliable clean energy gain competitive advantages in AI deployment. Those facing power constraints will struggle to expand capacity. The race for nuclear power agreements mirrors the earlier race for GPU access—a fundamental input that determines who can compete.
For investors, 2026-2028 represents a critical proving period. If the first commercial SMRs deliver on cost and schedule projections, expect rapid scaling and investment returns. If projects face delays and overruns, the sector may face another false start. Diversified exposure across the nuclear value chain offers the best risk-adjusted positioning for this emerging opportunity.
Key Takeaways
- AI data center energy demands driving nuclear investment
- Microsoft, Google, and Amazon leading $8B+ in nuclear commitments
- SMRs offer faster deployment than traditional nuclear plants
- First commercial SMR units expected by 2028
- 80+ SMR designs in development worldwide
References
- [1] Microsoft-Constellation Three Mile Island Agreement
- [2] Google-Kairos Power Partnership Announcement
- [3] Amazon Climate Pledge Nuclear Investments
- [4] International Atomic Energy Agency SMR Development Status