“The inflection point of agentic AI has arrived,” says Jensen Huang. Here are 2 stocks to buy for 2026.


when Nvidia (NASDAQ: NVDA ) Releasing its results for the fourth quarter of fiscal 2026 on February 25, CEO Jensen Huang said that artificial intelligence (AI’s) had “reached an inflection point.”

He was referring to agent AI or AI programs that are capable of acting on their own.

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When you submit a question to ChatGPT or Cloud, the AI ​​program generates an answer and that’s the end of it. Despite the complexity of the program, our average interaction follows a simple input-output loop with it.

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

For example, you can tell the AI ​​agent to buy tickets for next week’s football game and the program will do it for you. You can tell which section you are sitting in and find a seat near the bathroom if you want.

It looks a lot like the Jetsons-esque robot butler I’m sure many of us envisioned when AI first came into public use.

I am amazed at the speed at which we are approaching agent AI. The first versions of these programs are now available to the public, less than three years since the launch of ChatGPT. And there are two stocks in particular that benefit from this.

Computer graphics with words
Image source: Getty Images.

First up, of course, Nvidia. The company already makes graphics processing units (GPUs) that run many advanced AI programs.

You can bet Nvidia won’t give up its early lead in AI easily. That’s why the company offers Omniverse to AI developers.

The future goal of agentic AI is to allow AI programs to interact with the physical world. Omniverse is a set of libraries and microservices designed to allow the development of digital networks or robotics simulations.

Digital doubles are 1-to-1 copies of a building or even an entire city in cyberspace. It can be used to plan changes to its real-world counterpart or to optimize workflows in a physical location. Robotics simulation is an interesting one. This allows one to create a program to launch a robot so that program can be trained in a simulation without the need to create a physical obstacle course or training space for that program. This allows for fast and cost-effective robot training in a fully digital environment.

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