Why Nvidia Will Still Lead AI for the Next Decade

Bloomberg TechnologyAbout 3 min readJul 12, 2025Watch original
THE SUMMARYAI-generated

Key Concepts

  • NVIDIA's valuation and growth potential
  • AI revolution and its impact on various sectors
  • TSMC's role as a chip maker
  • AMD as a cheaper alternative to NVIDIA
  • NVIDIA's ecosystem advantage
  • China market and geopolitical sensitivities
  • Long-term investment perspective on NVIDIA
  • European AI landscape and its differences from the US

NVIDIA's Valuation and Growth

  • Current Valuation: NVIDIA's valuation, even with a $4 trillion number, is considered acceptable. The P/E ratio is around 52, expected to drop to the low 40s with upcoming earnings.
  • Growth Drivers: The $4 trillion valuation incorporates NVIDIA's past achievements and future potential. The company is proactively expanding its client base to new continents and sectors like robotics.
  • Robotics as a Key Sector: Robotics is highlighted as the next major milestone, as "giving AI hands, feet, and a body" will be transformative.
  • AI Revolution: The speaker emphasizes that we are just at the beginning of the AI revolution.

Benefiting Companies: TSMC and AMD

  • TSMC's Revenue Increase: TSMC, NVIDIA's chip maker of choice, experienced a 39% increase in revenue in the previous quarter, according to Bloomberg.
  • AMD as a Cheaper Alternative: AMD is presented as a potentially interesting alternative to NVIDIA, especially as AI adoption widens and some companies seek cheaper options.
  • NVIDIA's Ecosystem Advantage: NVIDIA offers not only chips but also a comprehensive ecosystem, giving it a competitive edge over AMD.
  • AMD's Future Potential: While NVIDIA currently leads, the speaker believes that "AMD's time will come."

China Market and Geopolitical Considerations

  • China's Importance: Both AMD and NVIDIA want to maintain a presence in the Chinese market. Jensen Huang is reportedly planning a trip to China to develop a specific chip that complies with export regulations.
  • Geopolitical Sensitivity: China is described as a "politically and a geopolitical sensitive market," increasing the risk associated with doing business there.
  • Risk Mitigation: NVIDIA is mitigating this risk by expanding into other markets like Europe and the Middle East, which have "deep pockets and very big potential."
  • Jensen Huang's Perspective: Jensen Huang believes that completely banning chip exports to China would only incentivize them to develop their own capabilities.

Long-Term Investment Perspective

  • NVIDIA's Stock Performance: NVIDIA's stock is up 1,000% since the rise of generative AI chatbots.
  • Overbought Conditions: While the stock is technically overbought in the short term (based on RSI), investors are focused on NVIDIA's long-term potential.
  • Long-Term Vision: Investors view NVIDIA as a company that will be at the heart of AI and robotics for the next decade.
  • Future Growth Potential: Despite the current high valuation, the company is seen as having "so much to offer" in the coming years.

European AI Landscape

  • Different Approach in Europe: Europe's AI landscape will differ from the US, focusing on sector-specific and business-specific models.
  • Lack of Large Platforms: Europe lacks the large AI labs and platforms found in the US.
  • Case-by-Case Development: European companies will build smaller, more specific models to leverage AI benefits.
  • B2B Focus: The European AI market is expected to be more business-to-business (B2B) oriented.

Conclusion

The AI revolution is still in its early stages, with NVIDIA positioned as a key player due to its strong ecosystem and growth potential in sectors like robotics. While AMD offers a cheaper alternative, NVIDIA's comprehensive solutions give it a competitive advantage. The China market presents both opportunities and risks, which NVIDIA is managing by diversifying its geographic focus. Investors are primarily focused on NVIDIA's long-term prospects, overlooking short-term overbought conditions. Europe's AI landscape will be characterized by sector-specific models and a B2B approach, differing from the US model.

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