Jensen Huang used NVIDIA's 2026 GTC keynote to argue that AI has crossed an inference inflection: models that once only generated text now reason and act, and each step multiplies the compute a single task consumes. He put NVIDIA's forward demand visibility above one trillion dollars through 2027, then spent much of the keynote explaining why that is a factory-economics claim rather than a chip claim — a gigawatt of AI factory costs roughly forty billion dollars before any compute is installed, so throughput per watt is what determines revenue. The technical centrepiece was the Vera Rubin platform; the strategic surprise was NVIDIA absorbing the Groq team to cover the low-latency decode that NVLink alone cannot reach. He closed on two extensions of the agentic thesis: OpenClaw as an emerging operating system for agents, hardened for enterprises as NemoClaw, and physical AI, where four new robotaxi partners add roughly eighteen million vehicles a year.