TL;DR

• S3 data shows that the short ratio in U.S. stocks has risen to a record range, and the reduction of positions in tech stocks is also increasing.
• This resembles high-level hedging, not necessarily indicating that the bull market has reversed; the extent of earnings reports will determine the volatility direction.
• Related assets: SPX, NDX, XLK, SMH, NVDA, Mag 7.

While the S&P 500 continues to operate at high levels, the short ratio in U.S. stocks and the reduction of tech stocks by hedge funds are both heating up, prompting the market to reassess the safety margins of AI trading.

This set of signals makes investors anxious because it contradicts the main line of the past two years. The AI narrative pushed the indices up, yet institutions are buying more insurance for this trade. The issue is not whether U.S. stocks have peaked, but whether bad news will be amplified after prices already incorporate a lot of optimistic expectations.

Let’s clarify the concept. The short ratio is the scale of borrowed stocks sold short as a proportion of tradable shares. It may represent a direct bet on a decline or merely hedging. Funds still hold long positions but use short selling, options, or position reduction to lower drawdown risk.

Therefore, a record short does not automatically equate to comprehensive bearishness from institutions. A more accurate statement is that U.S. stocks are still trading on the long-term benefits of AI, but institutions have started to reprice for short-term volatility.

Shorts Also Increase When Indices Rise

Price increases and rising shorts may seem contradictory, yet they often occur simultaneously. Especially when valuations are high, positions are crowded, and earnings season is approaching, funds may retain longs while increasing protection positions.

According to media reports citing S3 Partners data, the size of shorts in S&P 500 constituents accounts for approximately 3.79% of free-floating shares, marking a new high since S3 began tracking in 2010. For Russell 3000 constituents, this ratio is about 6.3%, also at record highs.

These figures cannot be simply added with other metrics. Different institutions have different statistical scopes; exchanges also disclose more about the number of short stocks rather than a uniform set of ratio indicators. The disclosure from the New York Stock Exchange in July indicated that as of June 30, 2026, the total number of short stocks in the NYSE Group has increased from previous periods, merely indicating that the size of short positions is on the rise.

The client report from Goldman Sachs Prime Brokerage also points in a similar direction. According to Reuters on July 6, U.S. hedge funds have net sold tech hardware and semiconductors for the fourth consecutive week, and the information technology sector has become the most net sold U.S. sector for the fourth straight week.

The key point here is not a specific percentage but that large players are reducing net exposure to tech. The market has not collectively retreated; overall prices still have retail buying, corporate buybacks, and trend funds supporting them, but the cushion for increases has become thicker.

AI Trading Enters a Period of Amplified Bad News

What institutions are concerned about is not that AI lacks value, but that current prices have priced in a lot of future returns in advance.

In the past few years, the core explanation for the rise in U.S. stocks has been AI. Cloud providers and tech giants have increased capital expenditures, and Nvidia and the semiconductor supply chain have benefitted from order spillover. The market believes these investments will ultimately translate into revenue, profit margins, and productivity gains.

For investors, capital expenditure is not the story itself but an investment that needs to yield returns. If AI infrastructure investments continue to rise, but terminal revenue, enterprise payments, and profit contributions do not accelerate in sync, valuations will come under pressure first.

Semiconductors are the most susceptible to becoming amplifiers of volatility. They sit at the forefront of the AI investment chain, with orders and expectations responding the quickest, and valuations are most sensitive. Once earnings reports show a slowdown in order growth, margin pressure, or concerns about customer concentration, the market often compresses semiconductor stocks first before transmitting effects to the Nasdaq and S&P.

Geopolitical risks serve as external catalysts. Conflicts in the Middle East, energy prices, and supply chain uncertainties may not change the long-term demand for AI but will alter how much the market is willing to pay multiples for overvalued assets. The biggest fear in a high market is not a single piece of bad news, but that positions are too crowded when bad news arrives.

This explains why the increase in shorts resembles a rise in insurance premiums. Institutions may not necessarily believe that an AI bubble is bursting but are unwilling to expose too many positions in the face of earnings reports and external risks.

Morgan Stanley's Dual Track Judgment

Morgan Stanley’s recent strategic framework illustrates the core of this divergence. The index may still have a bullish scenario in the medium term, but tech and semiconductors need to digest their gains in the short term.

On July 14, Morgan Stanley strategist Mike Wilson mentioned in an official podcast that semiconductors may pull back, and there will still be volatility and correction before the next bull market advance. On July 15, a Morgan Stanley Wealth Management article indicated that its Global Investment Committee expects the S&P 500 might rise to 8000 to 8300 points in the coming year while advising to take profits in the semiconductor sector.

This is not simply a bullish or bearish stance but a common dual-track judgment in high markets. Long-term, if earnings continue to be revised upward and AI investments bring real revenue, the index can continue to rise. Short-term, if valuation expansion outpaces performance, a correction may also occur.

For investors, it is important not to interpret positioning signals as one-sided predictions. An increase in shorts may transform into short squeezes after favorable earnings reports, with short and hedge positions being forced to cover, thus pushing prices higher. It could also amplify declines when bad news appears.

What determines the direction is not how many shorts there are, but whether the market finds previous valuation assumptions to be too conservative or too optimistic when the catalysts materialize.

Earnings Reports Determine Whether Shorts Are Fuel or Pressure

The upcoming earnings reports from tech giants and semiconductor companies will serve as a stress test for AI trading. The market will be looking not for a statement of "strong demand," but whether cloud revenue, AI orders, profit margins, and capital expenditure returns can align with each other.

If earnings reports show that cloud revenue continues to accelerate, AI orders remain strong, and profit margins stabilize, short positions may turn into fuel for increases. Those who short or hedge will need to cover their positions, and chasing funds will reaffirm the AI narrative.

If the reports only demonstrate expanded capital expenditures without confirming synchronized returns, the market will reassess paying high valuations for future growth. At that time, short positions won't be the reason for a decline but will become amplifiers of volatility.

The more reasonable judgment now is not that the bull market has ended, nor that shorts will certainly be squeezed. The U.S. stock market is entering a more discerning phase. The AI narrative remains effective, but valuations need earnings reports to continue delivering results. Semiconductors remain the core line and are also the first to bear the risks of reassessment.

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