Jensen Huang backs autonomous AI agents as he calls OpenClaw "the next ChatGPT"

Jensen Huang, CEO, Nvidia

• Nvidia backs OpenClaw, an AI agent platform for autonomous tasks
• NemoClaw integrates Nvidia tools into OpenClaw for enterprise use
• AI agents now complete tasks autonomously, not just answer prompts

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Nvidia is throwing its weight behind a fast-growing AI project that could change how people use artificial intelligence—not just as a tool, but as something that actually gets work done. Speaking at GTC, Jensen Huang described OpenClaw as a breakout moment for AI, going as far as calling it “the next ChatGPT.”

What makes OpenClaw different

Unlike traditional chatbots, OpenClaw is built around autonomous AI agents. These systems don’t just respond to prompts—they can take actions, make decisions, and complete tasks with minimal human input. That shift, from answering to doing, is what makes it significant.

Huang framed it as a fundamental change in interaction. Instead of constantly guiding an AI step by step, users can set a goal and let the agent figure out how to get there.

Nvidia’s answer: NemoClaw

To capitalise on that momentum, Nvidia has introduced NemoClaw—its enterprise-focused version of OpenClaw. NemoClaw layers Nvidia’s own software stack, tools, and infrastructure on top of the open-source platform. The aim is to make these agents usable in real-world scenarios, where security, reliability, and scalability matter.

In short, it’s OpenClaw with guardrails.

Huang illustrated the idea with a simple example: designing a kitchen. Instead of manually working through each step, a user could prompt an OpenClaw agent to handle the entire process. The system would learn relevant tools, generate designs, evaluate its own output, and refine the result—all autonomously.

It’s a glimpse of where AI is heading: less interaction, more delegation. “Everyone becomes more capable." Huang’s broader pitch is about amplification of skills.

He suggested that tools like OpenClaw could allow individuals to operate far beyond their current expertise—turning specialists into multi-disciplinary creators. The idea is that AI agents can fill in the gaps, handling complexity in the background.

It’s an ambitious vision, and one that leans heavily on how reliable these systems become in practice.

The risks are just as real

Autonomous agents also raise obvious concerns. Giving AI the ability to act independently introduces questions around security, privacy, and control—especially in enterprise environments. Mistakes aren’t just wrong answers anymore; they could be wrong actions.

That’s where Nvidia sees its role with NemoClaw, building oversight tools, privacy protections, and enterprise-grade safeguards to keep these systems in check.