Nvidia CEO calls OpenClaw AI the "next ChatGPT"

New York. – Nvidia CEO Jensen Huang, on Wednesday, at the framework of the GPU Technology Conference (GTC) 2026, described the open-source artificial intelligence platform OpenClaw as a «historic open-source project» and «definitely the next ChatGPT», referring to its potential to change the way people interact with artificial intelligence (AI) systems.

As Huang said during an interview with CNBC's Mad Money program, OpenClaw is not a simple chatbot, but a platform of autonomous agents capable of completing tasks and making decisions after an initial instruction, "without the need for constant supervision, which represents an advance in the automation of AI processes." Huang stated that the agents can "analyze information, learn and improve their results autonomously", and gave as examples the planning of designs or the optimization of workflows. He added that OpenClaw, which functions as a kind of "digital butler" that can manage files and schedule tasks, among others, has become "one of the open source projects with the greatest growth and adoption" in the company's history, and highlighted its potential to expand the capacity of individuals and companies when automating complex tasks more efficiently. We recommend reading:

Optimism in Nvidia's Projections

On Monday, Huang surprised everyone by stating that the company's orders will reach one trillion dollars by 2027, doubling the 500 billion projected last year, thanks to the Blackwell chip platforms and the next-generation Vera Rubin. Furthermore, on Tuesday, it indicated that the company is "restarting the manufacturing" of its H200 chips for clients in China after receiving orders and overcoming months of uncertainty due to regulatory restrictions. Huang also presented NemoClaw, the enterprise version of OpenClaw, which incorporates security and privacy tools for use in corporate environments, guaranteeing scalability and control of autonomous agents. Nvidia is backing OpenClaw to drive autonomous AI, strengthen its hardware ecosystem, seek clients for its enterprise version, and ultimately reinforce its market position, according to analysts. With a market capitalization of around $4.5 trillion, Nvidia is consolidating its position as the world's most valuable publicly traded company, with 11 consecutive quarters of growth exceeding 55%.

Open AI will shape robotics and autonomous agents

On the other hand, figures from the technology industry highlighted within the framework of GTC that open artificial intelligence models will set a new course in key applications of generative AI and in the development of intelligent and autonomous robots. During the event, which brought together executives and founders of companies such as LangChain, Cursor, Reflection AI, Perplexity, Mistral and OpenEvidence, as well as researchers and academics from the sector, the impact of the so-called "frontier models" and their role in the creation of autonomous agents capable of executing complex and repetitive tasks were discussed. According to the participants, these systems can automate processes such as the management of medical authorizations or the supervision of production lines to increase efficiency. Huang highlighted that the convergence of open models, autonomous agents, and accessible infrastructure will mark the next advances in AI, with "unprecedented opportunities to transform industries and improve global productivity." The executive assured that AI models are no longer uniform and that "some require high capacity, others broad contexts, and others low latency," which makes inference "a segmented market with different demands for performance, cost, and speed." You can also read: According to the executive, data centers will be able to design, train, and deploy models with energy efficiency. Hanna Hajishirzi, a professor at the University of Washington, emphasized the importance of open and shared infrastructure, which "facilitates access" to high-performance computing without requiring large investments. Experts agreed that, although closed models have useful applications, open ones offer greater transparency and trust, something essential in high-risk sectors such as health and defense.