U.S. tech stocks have reached their highest level of market concentration since the dot-com bubble of 2000, according to Piper Sandler.
This concentration creates a precarious environment for the broader equity market. If a few mega-cap companies experience a downturn, the lack of diversification could trigger a wider market correction as investors have heavily chased AI-related gains.
Craig Johnson, the chief market technician at Piper Sandler, said the warning during an appearance on CNBC’s Morning Call Sheet on Wednesday. Johnson said the weighting of technology stocks in investable assets has reached approximately 41% [1]. This level of density mirrors the conditions seen during the market crash two decades ago.
The current trend is driven by the dominance of a small group of mega-cap companies. The combined market value of NVIDIA, Apple, and Microsoft now exceeds $12 trillion [2]. These firms have captured the vast majority of recent market gains, leaving other sectors with less influence on overall index performance.
Johnson said that the current rally is heavily dependent on the continued success of these few giants. While AI growth continues to drive momentum, the concentration risk increases the vulnerability of the entire U.S. equity market to specific sector shocks.
Investors are currently balancing the potential for further AI-driven growth against the risk of a bubble. The high concentration suggests that the market's stability is now tied to the performance of a very narrow sliver of the economy.
“Tech weighting in investable assets has reached approximately 41%.”
The extreme concentration of wealth in a few technology giants means that the U.S. stock market is no longer a diversified bet on the economy, but rather a concentrated bet on artificial intelligence and a handful of companies. This creates a 'single point of failure' risk; any regulatory crackdown, earnings miss, or technological plateau affecting the mega-caps could drag down the entire market regardless of how other sectors are performing.
