Jensen Huang Says Humanoids, Self-Driving Cars Will Drive Next AI Boom

After creating disruption in AI chipset market globally, Nvidia CEO Jensen Huang recently shared his views on robotics at the company’s latest earnings call. According to a Bloomberg report, Huang said humanoid robots and self-driving cars will play a major role in the future of AI, leading to higher demand for advanced AI chips and technology.Speaking to analysts after Nvidia posted strong quarterly results, Huang explained that AI is now moving beyond chatbots and data centres into the physical world. According to him, industries such as robotics, manufacturing and autonomous vehicles will increasingly depend on powerful AI computing systems in the coming years.The Nvidia CEO also said smaller AI firms and industrial companies are quickly

adopting AI technology, which may increase demand for Nvidia’s chips in the future. Huang called them Category 2.Recently, Jensen Huang also addressed growing concerns around AI and fears that the technology could replace jobs. speaking at Stanford University, Nvidia chief said AI is changing the way people work, not replacing humans completely."First of all, I think the narratives of AI, destroying jobs, is not going to help America. It's just, it's false," Huang said. To explain his point, Huang used the example of radiology, where many experts once believed AI would replace radiologists. He said AI changed the industry, but did not completely replace human experts. "The part that was exactly opposite is the number of radiologists increased,” he added. According to him, AI tools helped hospitals process more scans, improve patient care, and expand medical services. As a result, demand for trained radiologists actually went up rather than down. "We need more radiologists than ever, and we don't have enough," he stressed.Huang believes the same thing is now happening in software development. The Nvidia CEO revealed that agentic AI systems are already deeply integrated into Nvidia’s own engineering workflows. Instead of replacing programmers, the tools are helping them build products faster and handle larger workloads. “The software engineers that know how to use AI, know how to use agentic systems, working with agentic systems are the most popular and the most successful,” he explained.