Nvidia’s GPUs proved ideal for AI training and inference because they handle huge matrix maths quickly and flexibly. Over years, developers built libraries, software and optimisations around Nvidia’s CUDA stack. This durable ecosystem heavily reinforced Nvidia’s market lead.
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CNBC TV1806-01-2026, 18:48

Nvidia's $4 Trillion Rally Faces Rising Threats Amid AI Chip Competition

  • Nvidia's stock is down 9.1% from its peak, underperforming the S&P 500, despite a massive 1,200% three-year gain.
  • The company faces increasing competition from rivals like Advanced Micro Devices Inc. and major clients (Alphabet Inc., Amazon.com Inc.) developing their own AI chips.
  • Concerns are growing about the sustainability of AI spending and Nvidia's investments in customers potentially propping up demand.
  • Despite challenges, Wall Street analysts largely maintain 'buy' ratings, projecting a 37% gain and over $6 trillion market value.
  • Strong demand for AI computing, upcoming Rubin chips, and a relatively cheap valuation compared to peers support future growth.

Why It Matters: Nvidia's dominant AI chip position faces growing competition and market scrutiny, yet strong demand and analyst confidence persist.

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