NVIDIA Corporation

(NASDAQ Global Select)
Bullish +65

What Is Physical AI? Nvidia Is the Stock I'd Buy to Own It.

πŸ€– Nvidia is identified as the preferred stock for investors seeking exposure to 'Physical AI,' which involves AI systems controlling real-world robots and autonomous vehicles.

πŸ“Š Automotive revenue, a key component of physical AI, reached $2.35 billion in fiscal 2026, representing approximately 1% of Nvidia's total $215.9 billion revenue.

πŸš€ The company's broader 'Edge Computing' segment, which aggregates robotics and automotive sales, grew 27% year-over-year to $7.2 billion in the second quarter of fiscal 2027.

πŸ’» Nvidia sells the complete stack for physical AI, including on-board computers like Jetson Thor, simulation models named Cosmos, and data center chips for training.

🀝 Colette Kress, CFO, confirmed that Amazon has adopted Nvidia's full physical AI stack to power its fleet of warehouse robots.

πŸ“‰ Growth in the automotive segment slowed significantly during fiscal 2026, dropping from 69% year-over-year growth in Q2 to just 6% in Q4.

πŸ’° Data center revenue remains the dominant financial driver, generating $89.0 billion in the most recent quarter and comprising over 90% of total revenue.

πŸ“ˆ The author recommends buying Nvidia primarily for its robust data center business, viewing physical AI applications as a future upside rather than current earnings support.

βš–οΈ Competitor AMD is acquiring World Labs for $8.2 billion to enter the robotics space, highlighting the strategic importance of this market but noting different valuation multiples.

🏒 Since fiscal 2027, Nvidia has stopped reporting automotive revenue separately, rolling it into the broader Edge Computing category alongside workstations and PCs.

Bullish Signals
  • The company is positioned as the simplest way for investors to own the 'Physical AI' trend due to its dominance in the necessary data center chips and simulation software.
  • Nvidia sells into all three critical areas of physical AI: training models, simulating environments, and providing on-board computers for real-time decisions.
  • Major client Amazon has adopted Nvidia's full physical AI stack, including Omniverse and Jetson, to power its fleet of warehouse robots.
  • Sales of AI systems to the auto industry for their own facilities reached approximately $8 billion in the past 12 months, contributing to data center revenue.
  • The Edge Computing segment, which includes robotics and automotive products, grew 27% year-over-year to $7.2 billion in the second quarter of fiscal 2027.
Risk Factors
  • Growth in the automotive revenue segment slowed sharply throughout fiscal 2026, declining from 69% year-over-year growth in Q2 to just 6% in Q4.
  • Physical AI currently represents a small business within the firm, with broader physical AI numbers below 3% of total sales.
  • The author notes that robots and self-driving cars might take years longer to pay off than market excitement suggests.
  • A slowdown in data center spending could hurt Nvidia much more than anything in its car business, given the heavy reliance on that segment.
Full Analysis
The article analyzes Nvidia's position in 'Physical AI,' a sector where artificial intelligence operates in the real world to control robots and autonomous vehicles, rather than just generating text. While competitors like AMD are making significant moves to acquire robotics-focused startups, Nvidia is positioned as the primary vehicle for investors to gain exposure to this trend due to its dominance in the underlying hardware required for training and simulation. Nvidia's financial contribution from physical AI remains a small fraction of its total revenue, with automotive sales accounting for roughly 1% of the $215.9 billion total in fiscal 2026. However, the company is aggressively expanding its 'Edge Computing' segment, which now includes robotics and self-driving car components, growing by 27% year-over-year to $7.2 billion in the second quarter of fiscal 2027. The core driver of Nvidia's valuation remains its massive data center business, which generated $89.0 billion in revenue last quarter alone. The author argues that investors are paying a premium for this high-growth data center segment, viewing physical AI applications as a potential future upside rather than a current necessity. Consequently, the stock is recommended primarily for its established data center performance with physical AI serving as a long-term growth catalyst. Despite the strategic importance of robotics and autonomous driving, the article notes that growth in these specific sectors has slowed recently, dropping from 69% to just 6% year-over-year in the fourth quarter. The author concludes that while rivals are betting heavily on immediate robotics hardware, Nvidia offers a safer, simpler investment thesis focused on its dominant data center earnings with physical AI as an added strategic advantage.