Nvidia CEO Jensen Huang thinks there will be a ChatGPT moment for physical AI.
Nvidia developed Isaac and GR00T foundation models as platforms for robotics applications.
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Whether or not 2026 really is the big year of physical AI (I think it’s likelier to be the year when agentic AI breaks out) and robotics, much hype surrounds recent comments made by the great Nvidia (NASDAQ:NVDA) CEO Jensen Huang, who believes his firm has achieved a “ChatGPT moment” with regards to physical AI. And investors have every bit of reason to believe in the magnitude of the breakthrough innovation going on behind the scenes of the world’s largest company.

In the meantime, investors should prepare for the exciting things to come as firms, especially those within the Mag Seven, look give AI their all. If you’re living in a city where self-driving robotaxis are already on the roads, you’ve already gotten a glimpse of the tremendous promise that physical AI has to offer.

Agents today, robotics tomorrow?

Robotaxis is the form of physical AI in motion that many are probably most familiar with. Over time, though, investors should be ready for the power of physical AI to go beyond the roads. Whether we’re talking about humanoid robotics, like those featured at this year’s CES 2026, or the Optimus robots, which Elon Musk is readying for a hopeful launch at some point next year, it certainly feels like robotics is where the puck is going next in the fast-moving world of AI.

In the meantime, though, there are AI agents that could continue to cause massive waves across the tech industry. As more investors discover the mindblowing potential of agentic AI, perhaps there’s more pain to come for the traditional software stocks, including the ones that are doing a good job of embracing agents.

At the end of the day, agentic AI is going to shuffle the cards, and the SaaS firms that used to hold a great hand might not be all too delighted with the cards they’re dealt in the age of agents. And, of course, there’s that fear that being too good at agents could be a net negative, as higher productivity and fewer heads means fewer seats to sell. While there’s still much to be made about agents, I still think it’s worth thinking about what comes next.

Nvidia’s “ChatGPT moment” is the real deal

Physical AI could have the potential to change the world, just as agents seem to be doing right now. And while it may feel a bit early for some investors, I do think that the mega-cap tech titans are readying for what could very well be another “ChatGPT” (or should I say Gemini 3.0, Claude Code, or OpenClaw) moment.

Undoubtedly, Nvidia seems to be one of the must-own physical AI plays from a platform perspective. In the era of physical AI, platforms could continue to be king, especially if there is bound to be a plethora of different robots that take to the homes and factories of the future.

In any case, Nvidia’s Isaac and GR00T foundation models seem to be the perfect launch pad for the next generation of robots. Whether we’re talking about the “LLM for movement” or computer vision, Nvidia may very well be the way to play the humanoid robotics OS of the future. And if that’s the case, perhaps the stock doesn’t deserve to stay grounded for all too long.

Perhaps the biggest economic moat in the physical AI age lies in its simulation moat. Undoubtedly, like LLMs, robots are going to need a ton of data to train on. Nvidia’s Isaac Sim, combined with its Omniverse, could be the go-to way to get robots ready for the realm of the physical affordably, but, most importantly, quickly.

All considered, Nvidia is ready for the year of physical AI, whether or not the rest of the world is, and that makes the stock a great buy right here.

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