Nasdaq 100 nears correction as AI spending fears hammer chip stocks
The semiconductor index has fallen more than 20% from its June peak as investors question whether rising AI infrastructure spending will generate adequate returns.
The Nasdaq 100 is flashing warning signals: a bearish double top formation has emerged below the 50-day moving average, driven by growing skepticism that the AI investment bonanza will actually pay off.
The technical picture is getting ugly
On July 7, the Nasdaq dropped 1.16% while the S&P 500 slipped 0.45%. The PHLX semiconductor index dropped 4.65% on the same day, despite positive earnings from Samsung.
On June 23, a broader tech selloff dragged the Nasdaq down 2.2% and the S&P 500 by 1.43%. The catalyst was rising AI infrastructure costs and questions about when those costs translate into real revenue.
The concentration problem no one wants to talk about
Seven tech companies currently account for approximately 30% of the entire S&P 500’s value. Names like Nvidia, AMD, Micron Technology, and Palantir have been under increasing pressure. Palantir saw roughly an 8% drop in November 2025 even after reporting strong earnings. A 10% decline in stocks that make up 30% of the index translates into a 3% drag on the broader market before anything else even moves.
Why crypto investors should be paying attention
Bitcoin and the broader crypto market have shown increasing correlation with tech stocks, particularly during selloff events. Large funds that hold both tech equities and crypto positions face margin calls and risk limits when one side of the portfolio drops.
Many crypto projects focused on decentralized compute, AI tokens, and GPU marketplaces have been fueled by the same AI narratives driving Nasdaq valuations. If the broader market decides AI spending has gotten ahead of reality, those crypto sub-sectors face the same reassessment.
The semiconductor index remains a key leading indicator. The PHLX’s underperformance despite decent fundamentals from chipmakers signals that the problem is expectations rather than earnings — and expectations for AI remain high relative to proven revenue streams.