SAN JOSE (Realist English). Nvidia CEO Jensen Huang said a rapidly growing artificial intelligence project known as OpenClaw could mark a major turning point in how users interact with AI, describing it as a successor to current chatbot systems.
Speaking in an interview on CNBC’s Mad Money during Nvidia’s GTC conference in California, Huang said OpenClaw has become “the largest and most successful open-source project” of its kind.
“This is definitely the next ChatGPT,” he said.
From chatbots to autonomous agents
Unlike traditional AI tools that respond to prompts, OpenClaw is designed as a platform for autonomous agents capable of completing tasks, making decisions and taking actions with minimal human input.
The shift, Huang said, represents a fundamental change in how AI is used.
“With a single line of code, users can create their own agent and assign it tasks,” he said, describing a system that can operate with a high degree of independence.
Nvidia builds enterprise version
Nvidia is moving to capitalize on the platform’s growth. The company recently introduced NemoClaw, an enterprise-focused version that integrates Nvidia’s software ecosystem with OpenClaw.
The aim is to make AI agents more secure, scalable and suitable for real-world deployment, particularly in business environments.
Expanding human capabilities
Huang said the technology could significantly expand individual productivity and expertise.
He gave the example of using an AI agent to design a kitchen: the system could analyze visual inputs, learn relevant tools, generate designs and refine its output autonomously.
More broadly, he suggested such tools could elevate skills across professions.
“People will be able to do far more with AI acting on their behalf,” Huang said.
Risks and safeguards
The rise of autonomous AI agents has also raised concerns about security, privacy and oversight, particularly as systems gain the ability to act independently.
Nvidia said NemoClaw is designed to address those risks by incorporating safeguards such as data protection measures, monitoring tools and enterprise-grade security controls.
Industry analysts say managing these risks will be critical as AI evolves from assistive tools into systems capable of executing tasks on behalf of users at scale.