Nvidia Expects Agentic AI To Drive $1 Trillion In Revenue

Nvidia is now expecting to generate $1 trillion in revenue through 2027 from its Blackwell and Vera Rubin platforms, CEO Jensen Huang said at the annual GPU Technology Conference in California. The revenue expectation is up 200% from the $500 billion in revenue through 2026 that the company previously projected in last year’s GTC. “A trillion dollars is an enormous amount of infrastructure; you have to have complete confidence that the trillion dollars you’re putting down will be utilized, would be performant, would be incredibly cost-effective and have useful life for as long as you could see,” Huang said. That “complete confidence” is coming from a belief that demand for AI will rise exponentially, thanks to the rapid developments in agentic AI, Huang argued. That belief is based on a new token-driven AI economy that he detailed previously in the company’s latest earnings report. That new revenue model is based on the rising importance of inference with the proliferation of agentic AI models. As agentic AI hype takes over Silicon Valley and models mature, the amount of data managed by an AI system expands, and the importance of inference outgrows that of training. The inflection