Beneath the S&P 500's placid surface, a record divergence between index-level and stock-level volatility is flashing a warning that echoes the 2000 tech bubble peak.
Beneath the S&P 500's placid surface, a record divergence between index-level and stock-level volatility is flashing a warning that echoes the 2000 tech bubble peak.

The gap between the VIX and individual stock volatility hit a record, with VIX at 17.5 and VIXEQ above 50, showing complacency masking stress in momentum stocks.
"The divergence between market price and breadth has never been higher," said Jonathan Krinsky, technical analyst at BTIG, in a Monday note.
There have been 52 trading days this year when the S&P 500 moved in one direction but a majority of stocks went the other way, tying 2000 for the third-highest count this century. With July not yet over, 2026 is on track to break the record. The pattern was also elevated in 2023 and 2024 when tech stocks dominated, but the dynamic has shifted as chip makers flipped from powering the market to entering their own bear trend.
Krinsky warned that as relationships between stocks normalize, "it's likely to be a result of everything catching down to the recent pullback in AI names, rather than AI names catching up to everything else." The S&P 500 sat 1.5% from its all-time high after nearly two months of sideways action, while Oracle closed at a multiyear low Monday and the tech equal-weight index logged a record 31-day bearish streak.
The breadth divergence has been building for months. Citadel Securities strategist Scott Rubner noted that investors are unusually concerned about specific stocks and sectors — mostly momentum names like chip makers that have gyrated with waxing and waning AI optimism. The VIXEQ measure, derived from a similar calculation for each stock in the S&P 500 weighted by market value, has surged above 50 while the VIX itself sits below its long-term average of about 20. Individual stock volatility is always higher than index volatility, but the gap between the two just reached an all-time high. The Cboe Volatility Index, which uses options prices to estimate expected choppiness in the S&P 500 over the next 30 days, remains below its long-term mean — a level that typically suggests calm. The VIXEQ reading above 50 tells a different story.
The rotation has been most acute in semiconductors. Earlier this year, software stocks became toxic as AI models' coding capabilities spooked investors. More recently, chip stocks flipped within days from powering the market to entering their own bear trend. The Magnificent Seven are lagging too. The Direxion Nasdaq-100 Equal Weight Index ETF (QQQE) has been bearish for 31 straight days — a record streak, according to Bluekurtic Market Insights. The U.S. 10-year Treasury yield stood at 4.63%, while gold climbed 1% to $4,118.90 and crude oil rose 3.6% to $87.38, reflecting cross-asset unease. Semiconductor stocks including Intel, Applied Materials, Lam Research, Marvell Technology, ASML, and KLA Corp. have been among the hardest hit, with the sector's bearish MACD signals persisting for weeks.
For portfolio managers, the message is clear: the narrow leadership that powered the S&P 500 to record highs is cracking. If Krinsky's scenario plays out, the broader market catches down to AI names rather than the reverse, making defensive positioning and sector diversification increasingly urgent ahead of the upcoming Big Tech earnings reports. The next major test comes as seven of the largest U.S. companies by market capitalization prepare to report quarterly results, with any disappointment in AI-related revenue growth potentially accelerating the rotation.
This article is for informational purposes only and does not constitute investment advice.