NVIDIA is quietly building a second trillion-dollar business that has nothing to do with data centers or ChatGPT. While the company is famous for the graphics processing units (GPUs) powering generative AI, it's also become the backbone of the autonomous vehicle and robotics industry through its DRIVE platform and Jetson Thor supercomputer. This "physical AI" segment could fundamentally reshape NVIDIA's long-term growth trajectory and help insulate the company from potential AI market cycles.

What Is Physical AI and Why Does It Matter?

Physical AI refers to artificial intelligence systems that operate in the real world, controlling robots, autonomous vehicles, and industrial machinery. Unlike data center AI, which processes information in servers, physical AI must make split-second decisions while navigating unpredictable environments. NVIDIA CEO Jensen Huang uses this term to describe the company's expanding portfolio beyond traditional computing chips.

The autonomous vehicle market is approaching a critical inflection point. Alphabet's Waymo is now handling 500,000 weekly paid rides across 10 metropolitan areas, more than doubling from a year ago. Tesla's robotaxis operate in seven cities, and other autonomous vehicle companies are expanding rapidly. This growth is creating massive demand for the computing infrastructure that powers these systems.

How Is NVIDIA Positioned in the Autonomous Vehicle Market?

NVIDIA's DRIVE AGX Hyperion platform serves as the computational brain for autonomous vehicles developed by multiple major partners. The company has signed partnerships with several key players in the autonomous vehicle and automotive space, including:

• Ridesharing Giants: Uber is working with NVIDIA and original equipment manufacturers (OEMs) like Stellantis to deliver at least 5,000 Level 4 autonomous vehicles for a robotaxi network, with NVIDIA's DRIVE platform providing the core computing power
• Traditional Automakers: Toyota, Stellantis, and Mercedes-Benz have integrated NVIDIA's autonomous driving technology into their development roadmaps
• Chinese EV Makers: BYD and Geely are leveraging NVIDIA's platform for their autonomous vehicle initiatives
• Robotics Companies: Boston Dynamics, Amazon Robotics, Caterpillar, and Deere use NVIDIA's Jetson Thor supercomputer for computer vision and robotic control applications

Notably, while Waymo and Tesla are not direct NVIDIA partners, the chipmaker has secured relationships with the companies that will supply vehicles and infrastructure to the broader autonomous vehicle ecosystem.

What Are the Financial Projections for This Business?

NVIDIA's automotive and robotics business reported just $2.3 billion in revenue in fiscal 2026, up 39 percent from the previous year. However, the company's physical AI business is already generating $10 billion in annual run-rate revenue, according to CEO Jensen Huang. More significantly, Huang projects this segment could grow to $100 billion within the next decade.

If the physical AI business reaches $100 billion in revenue, it could command a market valuation of $2 trillion or more, depending on growth rates and profitability. This matters because software-as-a-service (SaaS) businesses typically trade at higher valuations than hardware businesses. NVIDIA's DRIVE AV stack operates on a recurring software subscription model, which could justify premium valuation multiples similar to enterprise software companies rather than semiconductor manufacturers.

How Could This Transform NVIDIA's Overall Valuation?

NVIDIA is currently valued at nearly $5 trillion, up from $386 billion before the ChatGPT-driven AI boom. The company trades at a forward price-to-earnings ratio of just 22, which is lower than the S&P 500 average, despite analyst expectations for 82 percent revenue growth this year. This valuation discount reflects investor concerns about potential AI market cyclicality and the risk of an AI bubble.

The physical AI business provides a hedge against these concerns. Transportation and logistics are constant, recurring needs that are less vulnerable to technology cycles than data center spending. By diversifying into a less cyclical vertical with higher-margin software components, NVIDIA could justify a significantly higher overall valuation. Combining continued growth in the core data center segment with a maturing $100 billion physical AI business could plausibly push the company toward a $10 trillion market capitalization within several years.

What Developments Are Happening in the Autonomous Vehicle Industry Right Now?

The autonomous vehicle sector is experiencing rapid consolidation and strategic repositioning. Waymo is ending its exclusive partnership with Uber in Austin and Atlanta, planning to launch its own proprietary ride-hailing application in January 2028. This signals a broader industry shift toward vertically integrated models where autonomous vehicle developers manage direct customer relationships rather than relying on third-party distribution platforms.

Hyundai Motor Group is expanding its NVIDIA integrations significantly. The company announced plans to construct a US-based robotics manufacturing facility capable of producing up to 30,000 units annually by 2028. Hyundai expanded its agreement with NVIDIA beyond a 50,000-unit Blackwell GPU supply contract to co-develop an open robot reference platform for research and enterprise applications. The company's Georgia facility will manufacture autonomous-ready Ioniq 5 vehicles for Waymo's commercial fleet.

Aurora Innovation is also expanding its autonomous freight operations through partnerships with logistics companies Charger Logistics and Value Truck. These deployments of Aurora's second-generation driverless trucks along high-density freight corridors like Dallas-to-Laredo represent the growing commercialization of autonomous vehicle technology beyond passenger robotaxis.

What Challenges Could Slow This Growth?

Despite the optimistic projections, the autonomous vehicle industry faces significant regulatory and operational hurdles. Federal regulators are accelerating approvals, with the National Highway Traffic Safety Administration (NHTSA) granting Amazon's Zoox a temporary exemption from eight federal motor vehicle safety standards. However, state and local officials are simultaneously increasing scrutiny over how autonomous vehicles interact with emergency responders.

San Francisco Mayor Daniel Lurie requested state regulators strengthen rules for autonomous vehicles after Waymo robotaxis became immobile in heavy July 4 traffic, ran out of power, and blocked key streets. Representative Kevin Mullin proposed a bill directing federal regulators to establish minimum national safety standards for autonomous vehicle operators, citing "disturbing" incidents where autonomous vehicles interfered with emergency responders.

Additionally, a former operational manager for Tesla's autonomous vehicle testing program filed a federal wrongful-termination lawsuit alleging severe understaffing in safety operations. The complaint describes a 38-to-1 ratio of safety operators to managers in Houston, far exceeding Tesla's internal 15-to-1 baseline. The lawsuit contends that chronic understaffing compromises safety oversight protocols and undermines the integrity of safety validation data.

These regulatory and operational challenges suggest that while the autonomous vehicle market is growing rapidly, the path to NVIDIA's $100 billion physical AI revenue target will require sustained investment in safety, compliance, and operational excellence across the entire industry ecosystem.