Megacap tech stocks sells off as AI spending outpaces revenue growth
Watch on YouTube ↗  |  February 06, 2026 at 19:35 UTC  |  2:21  |  CNBC
Speakers
Jensen Huang — CEO, Nvidia
Deirdre Bosa — Tech Reporter, CNBC
Guillermo Rauch — CEO, Vercel (Transcribed as "Roche")

Summary

  • The "Mag-7" and major hyperscalers are under pressure, with Amazon, Meta, and Microsoft facing sell-offs due to investor concerns over rising capital expenditures (Capex).
  • The four largest hyperscalers are projected to spend over $600 billion this year alone on AI infrastructure.
  • A divergence is emerging: Legacy software stocks are crashing due to fears of AI displacement, while "New Guard" companies like OpenAI and Anthropic are viewed as the future winners, with IPOs on the horizon.
Trade Ideas
Ticker Direction Speaker Thesis Time
WATCH Deirdre Bosa
Anchor/Reporter, CNBC Tech Check
These mega-cap tech stocks are "getting punished" and trading lower despite the AI boom. Investors are spooked by the massive price tag of AI development. These companies are spending heavily ($600B combined projected for the top 4) to build infrastructure, but the revenue returns aren't arriving fast enough to satisfy the market. Meta is spending $0.50 of every dollar on AI infrastructure (double Amazon's ratio), yet Amazon is currently facing a steeper sell-off. Meta's free cash flow could be halved this year due to this spending. If the "infrastructure buildout" thesis (championed by Jensen Huang) proves correct, these companies are simply investing in the necessary foundation for the next era of computing, making the sell-off a potential overreaction. 0:09
WATCH Deirdre Bosa
Anchor/Reporter, CNBC Tech Check
The market is "clearing out the old guard" to make room for new autonomous/AI-native companies. The pace of AI progress is accelerating. Things deemed impossible for AI are being achieved weeks later. This suggests the next generation of "billion-dollar companies" (like OpenAI and Anthropic) will capture the value lost by legacy tech. "One person, billion-dollar company" is now within sight due to AI leverage. These companies are currently private; investors must wait for IPOs to access them directly. 1:42
LONG Jensen Huang
CEO, NVIDIA
Despite market fears over spending, Huang argues that demand is "sky high" and the spending is appropriate. We are in the "largest infrastructure buildout in human history." AI is not just a feature; it is fundamentally changing how computing works (from search to shopping to movie recommendations). Therefore, the massive Capex spending by Nvidia's customers is a requirement, not a mistake. Huang cites a fundamental shift in computing architecture as the driver for demand. If the hyperscalers (AMZN, MSFT, etc.) pull back on spending due to shareholder pressure, Nvidia's revenue would take a direct hit. 0:21
SHORT Deirdre Bosa
Anchor/Reporter, CNBC Tech Check
General software stocks are "getting absolutely crushed." This is a displacement trade. The market believes AI is becoming "too good" and will functionally replace the utility provided by many existing software service companies, rendering their business models obsolete. N/A (General market observation). AI adoption may be slower than anticipated, or legacy software companies may successfully integrate AI to survive. 1:10