Why Has NVIDIA’s Stock Flatlined as Hyperscaler Spend Explodes?

  • Shares of Nvidia (NVDA) fell another 2.23% on Friday and remain negative for the year despite massive spending plans from NVIDIA’s largest customer.

  • NVIDIA currently trades at just over 23 times forward earnings.

  • Wall Street is worried about competition: Broadcom AI revenue soared 74% to $6.2B as competition intensified, while AMD data center revenue hit $5.4B.

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It’s the paradox that keeps Wall Street analysts awake at night: Tech giants are pouring $700 billion into artificial intelligence infrastructure, but NVIDIA (NASDAQ: NVDA ) stock has gone cold. A Bloomberg headline on Friday captured the point perfectly: “Nvidia shares fall even as Big Tech invests heavily in artificial intelligence.” The stock, considered the ultimate beneficiary of artificial intelligence, saw limited gains while its customers announced a record spending spree.

The numbers tell a story that seems disconnected from reality. Nvidia just released its year-to-date returns negative It was 1.98% as of Friday. The stock has been essentially flat over the past month meta platform (NASDAQ: META), letter (NASDAQ: GOOGL ) and Amazon (NASDAQ: AMZN ) have announced AI infrastructure buildouts that would make a small country jealous.

Prediction markets tell the same story. Polymarket traders see only a 35% chance of Nvidia closing above $190 in February. VW expects the stock to trade in a range of $185 to $190, which isn’t exactly what you’d expect from a company at the center of a $700 billion spending spree.

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If you’re looking for reasons for weakness, investors can point to a number of reasons.

Insider selling has been consistent. Chief Financial Officer Colette Kress sold about 164,000 shares in 60 transactions in three months. Executive Vice President Ajay Puri liquidated 438,973 shares worth approximately $80.8 million. Director Mark Stevens sold 572,500 shares for approximately $103.7 million. However, I don’t think this level of (usually) planned sales is unusual for a company of NVIDIA’s size.

The competitive threat is real. When an AI “brain” reaches a certain size, competitors will emerge and hyperscalers will do their best to diversify.

Broadcom (Nasdaq: AVGO) just reported that fourth-quarter artificial intelligence semiconductor revenue increased 74% year-over-year to approximately $6.2 billion, and first-quarter revenue is expected to reach $8.2 billion as hyperscale enterprises invest in custom chips. Since the fourth quarter, Broadcom executives said their business has continued to accelerate. Broadcom’s design services are crucial to Google’s TPU. Third-party data shows that most of the AI ​​processors deployed by Google last year were TPUs, not NVIDIA GPUs.

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