Contrary to popular belief, recent electricity price hikes are not yet driven by AI demand. Instead, they reflect a system that had already become less reliable due to the retirement of dispatchable coal power and increased dependence on intermittent renewables. The grid was already tight before the current demand wave hit.

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.

European nations, feeling safe and prosperous after the Cold War, pursued aggressive green policies described as "economic suicide." Dismantling nuclear power and raising industrial electricity prices has destroyed manufacturing, created energy dependencies on rivals like Russia, and weakened their geopolitical standing.

The push for massive overbuilding of solar/wind and gigantic battery farms is not an optimal grid strategy. It's a workaround that became popular only because of a pre-existing belief that building new, reliable baseload nuclear power was not an option.

The 40-year plateau in nuclear power wasn't driven by public fear after incidents like Chernobyl, but by the soaring costs of building massive, one-off reactors. The modern push for Small Modular Reactors (SMRs) aims to solve this fundamental economic problem through factory-based production.

The massive energy requirements for AI data centers are causing electricity prices to rise, creating public resentment. To counter this, governments are increasingly investing in nuclear power as a clean, stable energy source, viewing it as critical infrastructure to win the global AI race without alienating consumers.

Despite the narrative of a transition to clean energy, renewables like wind and solar are supplementing, not replacing, traditional sources. Hydrocarbons' share of global energy has barely decreased, challenging the feasibility of net-zero goals and highlighting the sheer scale of global energy demand.

The economic model for renewable energy is the inverse of fossil fuels. While building wind or solar farms requires significant initial capital investment, their ongoing operational costs are minimal. This suggests that as Europe advances its green transition, its long-term energy cost competitiveness will dramatically improve.

For decades, electricity consumption was flat. Now, the massive energy demands of AI data centers are making clean, reliable, baseload power like nuclear an essential component of the energy grid, not just an option.