The worlds most valuable tech companies are sitting in a problem that no amount of code can fix: nobody built enough power plants to run their AI dream.
Meta just spent $2.6 billion on electricity. Amazons data centers are bidding on nearly every new power plant in the US. Microsoft signed a 20-year nuclear power buy with an existing facility in Pennsylvania. These are not marketing budgets or infrastructure upgrades. They represent an industry trying to solve a physical constraint that software engineers cannot solve with better code.
The Scale Problem Nobody Told You About
A large AI data center now consumes roughly 100 megawatts of power – enough to power a small city. And these facilities multiply every few months.
Why Nuclear Is No Longer a Dirty Word in Silicon Valley
Five years ago, suggesting that tech CEOs would champion nuclear power would have gotten you laughed out of a tech conference. Now, Sam Altman is publicly begging the Nuclear Regulatory Commission to change its rules on small modular reactors.
If you dont control your power source, everyone who does will control you. Thats not a technology problem. Thats a survival problem.
What This Means for You
If you are building an AI startup, the cheapest way to scale is no longer about model size. It is about where your compute lives and how much power is available there.
