Unseen in the past 30 years! The volatility of U.S. stock indices is at its lowest since 1960, while individual stock volatility is seven times higher than that of the indices.

The U.S. stock market is exhibiting a rare split: the S&P 500 index appears calm on the surface, but behind this tranquility, individual stocks are experiencing intense volatility, unsettling investors and signaling more turmoil ahead. This extreme divergence between index and individual stock volatility is reshaping the market landscape and testing investors’ risk management abilities.

According to Bloomberg’s Saturday report, Barclays data shows the S&P 500 has seen its narrowest trading range since the 1960s this year, but individual stock volatility is roughly seven times that of the index. This gap is the largest in at least 30 years. Disruptive concerns brought by artificial intelligence are triggering fierce rotations across sectors, as investors try to determine which industries will be AI’s next target.

This unusual market environment has already had a substantial impact on investor behavior. According to Goldman Sachs prime brokerage trading data, hedge funds have net sold U.S. stocks at the fastest pace since March last year so far this month. Bank of America clients sold U.S. stocks last week, with single-stock outflows reaching $8.3 billion, the third highest level since records began in 2008. The National Association of Active Investment Managers survey shows stock pickers had reduced their stock exposure to the lowest level since July last year at the beginning of this month.

Strategists warn that this environment may persist throughout the year and face multiple near-term catalysts, including possible U.S. military action against Iran and AI-flagship Nvidia’s upcoming earnings report next week. Historical data shows that similar market structures appeared ahead of major turning points, such as the 2008 financial crisis and last year’s rollout of large-scale tariffs under Trump.

AI shifts from a positive driver to a source of uncertainty

Breakthroughs in AI technology were once a bullish force for the market but now frequently provoke uncertainty. This shift is reshaping investment logic, turning "stock picking" from seeking opportunity into "avoiding collapse."

Barclays head of U.S. equity derivatives research, Stefano Pascale, attributes this differentiated volatility to investors trying to assess which sectors might become AI’s next target for disruption, alongside the combined effects of high valuations and high interest rates.

Michael O’Rourke, chief market strategist at JonesTrading Institutional Services, said: "This is a stock picker’s market, but not in the traditional sense. Nowadays, stock picking means avoiding a blowup." He believes this environment signals cracks in investors’ optimism about the broader market; when bad news hits, they are quicker to sell.

Even the so-called Mag7 tech companies are caught up in AI worries. Since tech stocks began rotating at the end of October last year, both Microsoft and Meta have seen double-digit declines from their highs.

Volatility divergence reaches historic extremes

The S&P 500 has remained nearly flat for the past four months, with this week’s closing price essentially unchanged from four months ago. Yet beneath this surface calm lies intense underlying volatility.

Barclays data shows that the gap between individual stock volatility and index volatility—about seven times—is the highest in at least 30 years. This extreme differentiation reflects structural pressures building within the market.

JPMorgan’s trading desk strategists expect this condition to become a "new normal" for the entire year. Historical experience shows similar market structures have preceded major inflection points.

O’Rourke warns: "When crisis strikes, all correlations converge." He notes that stocks, previously moving independently, may suddenly fall in unison, and single-stock volatility may be "an early warning sign or potential tremor of weakening investor confidence."

Investors sharply reduce exposure

Facing uncertainty, institutional investors are taking defensive measures. Waves of selling focused on specific stocks and sectors are prompting many investors to reassess the risks of holding highly concentrated positions.

Tom Hainlin, national investment strategist at Bank of America, says evidence of weakening investor confidence keeps growing, and stock and sector-specific sales are driving many to reassess the risks of holding highly concentrated positions.

Jed Ellerbroek, portfolio manager at Argent Capital Management, notes that AI adoption is moving faster than the internet did in the late 1990s and warns investors should get used to this year’s "unprecedented" level of disruption.

Despite increased volatility, some believe optimism should prevail. During the fourth-quarter earnings season, the proportion of S&P 500 index companies reporting quarterly profit growth hit the highest level in four years. More sectors participating in the market rebound has also encouraged investors, whereas previous months’ gains were mostly centered on tech stocks. State Street Bank macro multi-asset strategist Cayla Seder said, "At a broad level, this phenomenon reflects the strength of the overall environment and suggests systemic risks are under control."

However, as AI applications show signs of ongoing acceleration, Argent’s Ellerbroek believes volatility breaking through to the index level is just a matter of time and advises investors to stay diversified. He says investors are now closely investigating "whether AI is helping or hurting"—"there’s no more free pass."

Risk Warning and DisclaimerThe market has risks; invest prudently. This article does not constitute individual investment advice and does not take into account the specific investment objectives, financial circumstances, or needs of any particular user. Users should consider whether any opinions, viewpoints, or conclusions in this article are suitable for their specific situation. Investments based on this article are at your own risk.