Jensen Huang Just Delivered Incredible News for Nvidia Stock Investors


NVIDIA (NASDAQ: NVDA) was founded in 1993 and went on to create the world’s first graphics processing units (GPUs) for computing, multimedia and gaming applications. Now, decades later, the company has adapted those powerful chips for data centers, where they are used to develop advanced artificial intelligence (AI) models.

Nvidia CEO Jensen Huang believes data center operators will spend $1 trillion over the next four years upgrading their infrastructure to meet demand from AI developers. With the data center segment currently accounting for 88% of Nvidia’s total revenue, that spending will be critical to the company’s future success.

However, the semiconductor industry has always been cyclical, so the data center boom won’t last forever. That’s why it’s critical for Nvidia to diversify its revenue streams, and at the CES 2025 technology conference on Jan. 7, Huang delivered incredible news to investors on that front.

Range Rover and Jaguar cars in front of Nvidia headquarters.
Image source: Nvidia.

Nvidia saw the autonomous driving revolution coming. In fact, the company’s automotive business is more than two decades old, but its revenue was so small that it lived in the shadows of the gaming and data center segments. That’s all about to change, because global car brands like Mercedes-Benz, hyundai, BYD, volvo, toyotaand more are adopting Nvidia’s Drive platform to fuel their autonomous ambitions.

Drive provides all the internal hardware and software a car needs for its self-driving capabilities. That includes Nvidia’s latest chip called Thor, which processes all incoming data from the car’s sensors to determine the best course of action on the road. But Nvidia’s opportunity doesn’t end there, because it also sells the infrastructure that a car company needs to maintain and improve its autonomous models, so that it can differentiate itself from the competition.

In addition to Drive, Huang says automotive companies are purchasing DGX data center systems with their latest Blackwell-based GB200 GPUs, which provide the computing power needed to continuously train self-driving software. Then there’s Nvidia’s new Cosmos multimodal core model, which allows companies to run millions of real-world simulations using synthetic data, which serves as training material for the software.

Overall, Huang says autonomous vehicles could be the first multibillion-dollar opportunity in the emerging robotics space. You’re not alone, because Cathie Wood’s Ark Investment Management believes technologies like autonomous transportation could create $14 trillion in enterprise value by 2027, and most of that value would be attributed to autonomous platform providers (in this case, it would be Nvidia).

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