For new nuclear tech, competing with cheap solar on cost is a losing battle. The winning strategy is targeting "premium power" customers—like the military or hyperscalers—who have mission-critical needs for 24/7 clean, reliable energy and are willing to pay above market rates. This creates a viable beachhead market.

While solar panels are inexpensive, the total system cost to achieve 100% reliable, 24/7 coverage is massive. These "hidden costs"—enormous battery storage, transmission build-outs, and grid complexity—make the final price of a full solution comparable to nuclear. This is why hyperscalers are actively pursuing nuclear for their data centers.

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.

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.

In the 1970s, France built 57 reactors in 15 years through its government-led utility, which repeatedly built the same design. In contrast, the US's fragmented private utility system, with each company building different designs, failed to achieve similar cost reductions and scale.

Public perception of nuclear power is skewed by highly visible but rare disasters. A data-driven risk analysis reveals it is one of the safest energy sources. Fossil fuels, through constant air pollution, cause millions of deaths annually, making them orders of magnitude more dangerous.

Perception of nuclear power is sharply divided by age. Those who remember the Three Mile Island accident are fearful, while younger generations, facing the climate crisis, see it as a clean solution. As this younger cohort gains power, a return to nuclear energy becomes increasingly likely.

The high costs of Georgia's recent Vogtle nuclear plant are often blamed on regulation. However, the primary drivers were project management and supply chain failures, like ordering the wrong rebar, which caused year-long delays due to a loss of institutional knowledge.

To secure the immense, stable power required for AI, tech companies are pursuing plans to co-locate hyperscale data centers with dedicated Small Modular Reactors (SMRs). These "nuclear computation hubs" create a private, reliable baseload power source, making the data center independent of the increasingly strained public electrical grid.