Nvidia CEO Jensen Huang on Tuesday pointed to a fast-growing AI project called OpenClaw as a major step forward in how people interact with artificial intelligence.
“This is now the largest, most popular and most successful open source project in human history,” Jensen told Jim Cramer in an interview on “Mad Money” on the sidelines of Nvidia’s GTC event in California. “This is definitely the next ChatGPT,” the CEO declared.
OpenClaw is an open source autonomous AI agent platform that goes beyond traditional chatbots. Instead of answering questions, these agents can complete tasks, make decisions, and take actions with minimal input from the user.
Nvidia moved quickly to further build momentum with OpenClaw. The AI chip leader on Monday announced NemoClaw, an enterprise-grade version of OpenClaw that layers Nvidia’s software stack and tools on top of the platform. The goal is to make these powerful AI agents secure and scalable for real-world use.
Jensen described this technology as a fundamental change that has the potential to significantly expand what individuals can do with AI. “With one line of code, you can create your own agent, and then just let it do whatever you want,” he said.
The CEO explained the concept using a real-world example: designing a kitchen. With a short prompt, OpenClaw agents can study images, learn design tools, iterate on ideas, and improve their output. All of this can be done autonomously. “They go and learn how to design a kitchen, and they come back with a design and reflect on it,” Jensen said, explaining how the system can improve their work.
Moreover, the broader implication is the growth of an individual’s expertise, he added. “From now on, every carpenter can be an architect. Every plumber can be an architect. We’re going to improve everyone’s abilities,” he said.
Indeed, the rapid rise of autonomous AI agents like OpenClaw has also raised concerns about security, privacy, and control, especially as these systems gain the ability to operate independently.
That’s where Nvidia sees its role. Nvidia uses NemoClaw to build guardrails that include privacy protections, monitoring tools, and enterprise-grade security to enable secure deployment of these agents at scale.
Addressing these risks is critical to ushering in the next wave of AI adoption, one in which agents not only assist but act on behalf of humans.
