The S&P 500 is exhibiting a technical pattern that last appeared just before the dot-com bubble burst, putting veteran investors on alert.
The S&P 500 is exhibiting a technical pattern that last appeared just before the dot-com bubble burst, putting veteran investors on alert.

The S&P 500 has flashed a structural pattern not observed since 2000, reviving comparisons to the dot-com era and what some veteran investors call the biggest bubble in American history.
"This is, I think, the biggest investment bubble in American history," Jeremy Grantham, co-founder of asset management firm GMO, said on The Diary of a CEO podcast. Grantham, who correctly called the 2000 dot-com bust and the 2008 financial crisis, warned that a reversion to trend would require a decline of "closer to 70% than 50%."
The S&P 500 has gained more than 70% over the past five years, driven largely by enthusiasm around artificial intelligence. The benchmark's cyclically adjusted price-to-earnings ratio has not been this elevated since the dot-com boom, and nearly 40% of the index's weight is concentrated in its 10 largest stocks. Gareth Soloway, chief market strategist, has also flagged that the AI trade is cracking, setting a 5,600 target on the S&P 500. The technology sector, which has led the rally, now faces the highest valuation risk, while defensive sectors such as utilities and consumer staples have lagged, a divergence that historically precedes broader market weakness.
A 70% decline from current levels would erase trillions in retirement wealth. During the comparatively mild 2022 selloff, 401(k) and IRA plan participants lost an estimated $3 trillion, CBS News reported. The VIX, Wall Street's fear gauge, has been creeping higher as the pattern emerged, though it remains below levels typically associated with panic selling. Trading volume has also picked up, suggesting institutional investors are repositioning portfolios in response to the growing risk. The next major test for markets comes with the upcoming earnings season, where investors will watch for signs that AI-driven revenue growth is translating into bottom-line results.
History Repeats, but Never Exactly
Bridgewater Associates founder Ray Dalio has also warned that the U.S. stock market is approaching bubble territory last seen in 2000 and 1929. The concentration risk is particularly acute: when the top 10 stocks account for nearly 40% of index weight, a rotation out of mega-cap tech can disproportionately drag the broader market. During the dot-com unwind, the Nasdaq Composite lost 78% from peak to trough between 2000 and 2002, a reference point that Grantham's 70% decline estimate closely mirrors. The current setup differs in one key respect: corporate balance sheets are generally stronger today, with lower leverage and higher cash reserves than two decades ago.
What Investors Are Watching Now
The immediate catalyst for any correction may come from the bond market. The U.S. 10-year Treasury yield has been climbing, pressuring equity valuations, while the dollar index has strengthened, creating headwinds for multinational earnings. Gold, by contrast, has climbed 130% over the past five years as investors sought protection outside traditional equities. JPMorgan Chief Executive Officer Jamie Dimon has said the metal could "easily" rise to $10,000 an ounce in the current environment.
Grantham's advice to investors is blunt: "If you have a big position in U.S. technology stocks, my personal advice would be to sell it all." His broader warning extends beyond tech — "Don't own U.S. stocks," he said, citing the most expensive market in American history. For investors who remain bullish, the upcoming earnings reports from mega-cap technology companies will be the first real test of whether AI-driven profits can justify current valuations.
This article is for informational purposes only and does not constitute investment advice.