Jensen Huang just put a number on the future of AI infrastructure, and it’s the kind of figure that makes even Big Tech CFOs pause. The Nvidia CEO estimates that a single 1 gigawatt AI factory, the massive data center complexes needed to train and run frontier AI models, could cost up to $100 billion.
That number is up from current estimates of around $55 billion per gigawatt. And here’s the part that should matter to anyone watching capital flows in tech: roughly half of that spend goes directly to Nvidia’s chips and systems.
The math behind the megawatt madness
Earlier estimates from mid-2025 pegged the cost of a 1 GW AI factory at $50 to $60 billion, with about $35 billion earmarked for Nvidia hardware. Huang’s updated projection suggests costs are trending upward as the complexity of AI workloads increases and the demand for more sophisticated silicon accelerates.
Reports from June 2026 noted that a fully operational 1 GW factory could generate $300 to $400 billion in annual intelligence value. That implies a payback period of just 2 to 3 years at full utilization.
