AI stocks shed $1.3 trillion in worst semiconductor rout since 2020
Broadcom's outlook and a hot jobs report triggered the selloff — but is it a bubble or rotation?
Friday's selloff erased $1.3 trillion from AI and semiconductor stocks, the worst day for chips since 2020. The Nasdaq fell 4.2% and the S&P 500 dropped 2.6% after a hotter-than-expected jobs report raised the odds of a Federal Reserve rate hike. Broadcom's AI-chip outlook disappointed, dragging Nvidia down 6% (below $5 trillion market cap) alongside Micron, AMD, and Marvell. Yet the Dow Jones Industrial Average hit a record high as money rotated into health care and financials — a sector rotation, not a market-wide panic.
The debate is sharp: Goldman CEO David Solomon calls the selloff 'too broad' and expects AI winners to emerge, while Bridgewater's Ray Dalio warns of a classic bubble. Bank of America's Michael Hartnett compares the chart to March 2000 and flags his Bull & Bear indicator at 'sell.' The structural issue: hyperscalers are committing ~$700 billion to AI infrastructure this year, but applications earn a fraction of that. The bull case says cloud-AI revenue (AWS, Azure, Google Cloud) will close the gap; the bear case says writedowns are coming. Watch the Fed's rate path, next hyperscaler capex guidance, and whether market gains broaden beyond a few stocks.
- AI and chip stocks lost $1.3 trillion on Friday, led by a 6% Nvidia drop after Broadcom's weak outlook.
- Nasdaq fell 4.2% and S&P 500 dropped 2.6% on rate-hike fears from a strong jobs report.
- Dow hit a record as money rotated to healthcare/financials, splitting analysts between 'profit-taking' and 'bubble bursting'.
Why It Matters
This selloff tests whether AI infrastructure spending can justify valuations — watch fundamentals, not one-day moves.