Jensen Huang states that OpenClaw did for agentic systems what ChatGPT did for generative systems.

Jensen Huang states the odds of 100,000 such AI agents building a company like NVIDIA are 0%.

Jensen Huang states that agentic systems can be kept safe by allowing only two out of three capabilities (access sensitive info, execute code, communicate externally) at any time, not all three.

Jensen Huang states that people initially thought the amount of high-quality data would limit AI intelligence, but this pre-training scaling law showed larger models with more data result in smarter AI.

OpenClaw can manage files, set up or cancel meetings, give live work updates, shop and haggle, and make investments autonomously after an initial command.

Jensen Huang states that people in China are currently teaching AI agents to look for jobs, do work, and make money.