AI stocks sell-off reflects 1987 crash lesson for investors

Traders Union
All News
Stocks
AI stocks sell-off & 1987 lesson

Highlights

S&P 500 dropped nearly 2% last week and Nasdaq Composite fell 4.5%, marking their sharpest declines since late June amid broad AI stock selling.
Jim Cramer notes that forced, automatic selling—intensified by hedge fund liquidations—has created disconnects between company fundamentals and AI-related stock prices.
Cramer observed S&P 500 and Nasdaq partly rebounded on Monday, suggesting market action reflected trading mechanics rather than deterioration in AI business operations.

1987 comparison and current market signals

As reported by CNBC, Cramer says the lesson from Black Monday is that broad, automatic selling can crush stock prices even when the companies behind them remain fundamentally strong. He points to the 1987 crash, when the Dow Jones Industrial Average plunged 22.6% in a single session and portfolio insurance strategies meant to limit losses instead accelerated a wave of selling.

Cramer says a similar disconnect is appearing in parts of the current AI trade. He argues that some data center and semiconductor stocks are moving in tandem even though there is no apparent deterioration in the underlying businesses, creating a gap between share-price action and company value.

Last week, the S&P 500 fell nearly 2%, its biggest weekly decline since late June, while the Nasdaq Composite dropped 4.5% and ended a four-week winning streak. Cramer says Friday’s sell-off may have been intensified by a hedge fund liquidation, although no new liquidation has been confirmed.

What the sell-off means for AI investors

Forced selling can pressure shares regardless of whether a company is in trouble, particularly when leveraged funds need to raise cash quickly to cover losses. Cramer compares that dynamic to the earlier collapse of Situational Awareness this summer, which also highlighted how non-fundamental factors can drag down stocks across a theme.

His message to investors is to separate companies with weakening operations from stocks that are simply caught in broader market mechanics. Cramer says the current pullback in some AI-linked names may reflect the behavior of money managers more than a change in business conditions, a view he underscores after the S&P 500 and Nasdaq recovered part of Friday’s losses on Monday, which he called “Green Monday.”

In our earlier coverage of the AI-linked tech selloff tied to higher interest rates, we explained how hotter inflation data revived Fed hike expectations and pushed Nasdaq-linked names lower. We also highlighted investor concerns about the rising cost of financing large-scale AI infrastructure, with pressure spreading from data center operators and cloud firms to major chipmakers as risk appetite weakened.

This material may contain third-party opinions, none of the data and information on this webpage constitutes investment advice according to our Disclaimer. While we adhere to strict Editorial Integrity, this post may contain references to products from our partners.