Beyond selling chips, NVIDIA strategically directs the industry's focus. By providing tools, open-source models, and setting the narrative around areas like LLMs and now "physical AI" (robotics, autonomous vehicles), it essentially chooses which technology sectors will receive massive investment and development attention.

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Jensen Huang's core strategy is to be a market creator, not a competitor. He actively avoids "red ocean" battles for existing market share, focusing instead on developing entirely new technologies and applications, like parallel processing for gaming and then AI, which established entirely new industries.

New AI models are designed to perform well on available, dominant hardware like NVIDIA's GPUs. This creates a self-reinforcing cycle where the incumbent hardware dictates which model architectures succeed, making it difficult for superior but incompatible chip designs to gain traction.

By releasing open-source self-driving models and software kits, NVIDIA democratizes the ability for any company to build autonomous systems. This fosters a massive ecosystem of developers who will ultimately become dependent on and purchase NVIDIA's specialized hardware to run their creations, driving chip sales.

While known for its GPUs, NVIDIA's true competitive moat is CUDA, a free software platform that made its hardware accessible for diverse applications like research and AI. This created a powerful network effect and stickiness that competitors struggled to replicate, making NVIDIA more of a software company than observers realize.

Seemingly strange deals, like NVIDIA investing in companies that then buy its GPUs, serve a deep strategic purpose. It's not just financial engineering; it's a way to forge co-dependent alliances, secure its central role in the ecosystem, and effectively anoint winners in the AI arms race.

NVIDIA's multi-billion dollar deals with AI labs like OpenAI and Anthropic are framed not just as financial investments, but as a form of R&D. By securing deep partnerships, NVIDIA gains invaluable proximity to its most advanced customers, allowing it to understand their future technological needs and ensure its hardware roadmap remains perfectly aligned with the industry's cutting edge.

Instead of competing for market share, Jensen Huang focuses on creating entirely new markets where there are initially "no customers." This "zero-billion-dollar market" strategy ensures there are also no competitors, allowing NVIDIA to build a dominant position from scratch.

NVIDIA's vendor financing isn't a sign of bubble dynamics but a calculated strategy to build a controlled ecosystem, similar to Standard Oil. By funding partners who use its chips, NVIDIA prevents them from becoming competitors and counters the full-stack ambitions of rivals like Google, ensuring its central role in the AI supply chain.

The current AI landscape mirrors the historic Windows-Intel duopoly. OpenAI is the new Microsoft, controlling the user-facing software layer, while NVIDIA acts as the new Intel, dominating essential chip infrastructure. This parallel suggests a long-term power concentration is forming.

NVIDIA's robotics strategy extends far beyond just selling chips. By unveiling a suite of models, simulation tools (Cosmos), and an integrated ecosystem (Osmo), they are making a deliberate play to own the foundational platform for physical AI, positioning themselves as the default 'operating system' for the entire robotics industry.

NVIDIA Acts as a "Kingmaker," Dictating the Next Major Tech Sectors to Pursue | RiffOn