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Silicon carbide, a highly durable and thermally tolerant material, became inexpensive due to its adoption in the electric vehicle industry. This spillover effect now enables its use in other critical sectors, including as protective cladding for nuclear reactors and as a core component in smaller, more efficient grid transformers.
Today's nuclear energy boom is propelled by strong commercial demand from AI data centers and defense, not government R&D. This market-driven "demand pull" for energy is finally creating the business case for advanced and small modular reactors.
AI hyperscalers' urgent need for power makes them willing to pay a premium for rapid deployment (months vs. years). This high-margin initial market can fund the transition to factory-based mass production for nuclear energy, eventually allowing costs to drop for broader markets like utilities and industrial users.
As Moore's Law slows, the path forward isn't just smaller silicon transistors. Tan is investing in new materials like gallium nitride, silicon carbide, glass substrates, and even artificial diamonds to solve bottlenecks in advanced packaging and insulation, fundamentally changing chip architecture.
As the explosive growth of electric vehicles moderates, the highly scaled manufacturing capacity and supply chains for power electronics can be repurposed. This existing momentum can be redirected to meet new demand for modernizing the grid, powering data centers, and driving industrial electrification.
The massive energy consumption of AI has made tech giants the most powerful force advocating for new power sources. Their commercial pressure is finally overcoming decades of regulatory inertia around nuclear energy, driving rapid development and deployment of new reactor technologies to meet their insatiable demand.
Building AI data centers or nuclear plants is pointless without the massive transformers needed to connect them to the grid. With lead times of 4-5 years for these components, which rely on Chinese rare earths, this hardware bottleneck is the critical constraint on energy and AI infrastructure expansion.
Facing immense electricity needs for AI, tech giants like Amazon are now directly investing in nuclear power, particularly small modular reactors (SMRs). This infusion of venture capital is revitalizing a sector that has historically relied on slow-moving government funding, imbuing it with a Silicon Valley spirit.
Unlike the Cold War era where military R&D fueled commercial tech, companies like Chariot are adapting breakthroughs from the commercial electric vehicle industry—like advanced batteries and power electronics—to meet the unique power demands of the modern military.
New, critical technologies—including compute, batteries, solar, and even Radiant's portable nuclear reactors—are all natively DC power systems. This fundamental alignment creates a powerful opportunity to build highly efficient, resilient DC microgrids that bypass many of the complexities of the legacy AC grid.
Conventional water-cooled reactors can't reach the high temperatures needed for industrial processes like steel and concrete production. Advanced reactors using coolants like sodium can operate at 500-800°C, unlocking the ability to decarbonize the massive industrial process heat market, which accounts for nearly a quarter of global energy consumption.