Jensen Huang Says the “Agentic AI Inflection Point Has Arrived.” Here Are 2 Stocks to Buy for 2026.


When Nvidia (NASDAQ: NVDA) released its results for the fourth quarter of fiscal year 2026 on Feb. 25, CEO Jensen Huang stated that artificial intelligence’s (AI’s) “inflection point has arrived.”

He was referring to agentic AI, or AI programs capable of acting on their own.

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When you submit a query to ChatGPT or Claude, the AI program generates a response and that’s the end of it. Despite the complexity of the program, our average interactions with it follow a simple input-output loop.

But an AI agent is capable of taking direction from a human and then acting on behalf of that human to execute those instructions. I think this is more of what people had in mind when ChatGPT launched back in 2022.

For example, you could tell an AI agent to buy tickets to next week’s football game and the program would do it for you. You could probably tell it what section you’d like to sit in and to find you seats close to a bathroom if you wanted.

That sounds a lot more like the sort of Jetsons-esque robot butler I’m sure many of us imagined when AI first started coming into public use.

I’m surprised at the speed with which we’ve arrived at agentic AI. Early versions of these programs are now available to the public, less than three years since ChatGPT launched. And there are two stocks in particular set to profit from it.

Image source: Getty Images.

Up first is, of course, Nvidia. The company already makes the graphics processing units (GPUs) that many of the most advanced AI programs run on.

You can bet Nvidia isn’t letting go of its early lead in AI easily. That’s why the company offers Omniverse to AI developers.

The next goal of agentic AI is allowing AI programs to interact with the physical world. Omniverse is a group of libraries and microservices designed to allow for the development of digital twins or simulating robotics.

A digital twin is a 1-to-1 copy of a building or even a whole city in cyberspace. It can be used to plan alterations to its real-world counterpart or to optimize workflows in physical space. The robotics simulation is an interesting one. It allows someone developing a program to pilot a robot to train that program in a simulation without the need for building a physical obstacle course or training ground for said program. It allows for faster and cheaper training of a robot in a fully digital environment.



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