We measure AI progress in billions of parameters, but the true limiting factor for next-gen models is measured in gigawatts.
Training complex AI models and running 24/7 inference consumes exponentially more electricity than traditional computing. To keep up with this demand without breaking clean-energy commitments, tech giants are making a massive move toward nuclear power.
Why Nuclear?
24/7 Reliability: Solar and wind are essential, but intermittent. AI data centres need constant, uninterrupted baseload power that doesn’t depend on the weather.
The Rise of SMRs: Tech companies are heavily investing in Small Modular Reactors (SMRs)—compact, factory-built nuclear units that can be deployed faster and safer directly alongside data centers.
Bypassing the Grid: By co-locating compute campuses right next to nuclear plants, companies avoid grid congestion and power transmission losses.
The Takeaway
The battle for AI leadership isn’t just about software or chip design anymore—it’s an energy infrastructure race. The future of artificial intelligence will belong to whoever can power it sustainably at scale.