What This Choppy Market Is Telling Investors

Jul 15, 2026

After a sharp rebound, high earnings expectations and fast rotations in Big Tech are keeping the market churning sideways. How should you invest?

Author
Lisa Shalett

Key Takeaways

  • Earnings optimism has surged, but with so much good news already priced in, markets have churned as investors look for the next catalyst and equity leadership shifts.
  • Chipmakers have soared and hyperscalers have lagged amid investor concerns about capex, creating offsetting moves among the S&P 500’s biggest names.
  • That dynamic could flip: As companies focus more on AI costs and energy efficiency, demand for a mix of AI models and computing infrastructure could pressure parts of the chips trade and bolster adaptive hyperscalers.
  • Consider taking profits in semiconductor stocks after strong runs, selectively revisiting hyperscalers, adding intermediate-term bonds, and maintaining global diversification.

Markets have arrived at a brittle junction. After early hopes of a Middle East ceasefire helped spark a powerful spring rebound, the benchmark S&P 500 Index surged some 20% to an all-time high in early June. Since that peak, however, the market has been stuck.

 

Even as investors remain optimistic about corporate earnings, U.S. stocks as a group have struggled to move higher. Instead, big shifts inside the S&P 500 are often canceling each other out, leaving the headline index largely churning sideways.

 

Here’s what Morgan Stanley Wealth Management’s Global Investment Committee sees driving the churn—and what investors may want to do next.

  1. 1
    High earnings expectations can stall progress

    To understand what’s going on, start with the high bar markets have set. Corporate earnings expectations have risen sharply, and investors are looking for mid-20% year-on-year earnings growth over the next two months.

     

    When expectations rise quickly, strong results can stop being fresh catalysts for markets to move higher, because the good news is already assumed. At that point, markets often become more sensitive to small changes in the outlook, and price action can turn choppy or flatten as investors shift to debating what’s next.

  2. 2
    A top-heavy index can be fragile

    The second issue is how concentrated the market has become. The 10 biggest stocks remarkably make up roughly 40% of the benchmark index’s total value.

     

    That top-heaviness matters because it can keep the index stuck, even if many other stocks are doing fine. That’s because when a few mega-cap names carry that much weight, even a modest pullback in them can offset steady progress elsewhere. 

  3. 3
    Big Tech is in a tug of war

    Among the market’s top tech names, a tug-of-war has been evident in the AI trade:

     

    • Semis soar: On the one hand, investors have priced leading chipmakers to extremes, with semiconductor market capitalization growing to about 18% of the S&P 500 today, up from a long-term historic share of only about 3%.
    • Mag 7 slide: At the same time, investors have punished the formerly dominant “Magnificent 7” stocks, which include massive cloud-computing providers known as hyperscalers, largely assuming these companies will keep rapidly burning through cash as they spend heavily on AI infrastructure.

     

    Net: When one group of giant stocks is being bid up while another group of giant stocks is being marked down, those moves can cancel out at the index level.

The AI Story Is Evolving

That said, the Global Investment Committee sees the AI story maturing in a way that could change which stocks pull ahead—and investors should watch closely.

 

Recently, we have sensed a clear change in tone from AI adopters: The early phase of adoption, which included companies immersing employees in AI tools and maximizing token usage, appears to be shifting to a more disciplined phase where enterprises care a lot more about the cost and energy efficiency of their AI usage.

 

That shift is pushing “hybrid engineering” across the AI stack. In plain English, enterprises are becoming more open to mixing cutting-edge frontier AI models with lower-cost open-source or free models, and to using a wider range of chips and accelerators, rather than assuming everything must run on the newest, most expensive hardware.

Portfolio Moves to Consider

That evolution in the AI story is a key reason the Global Investment Committee thinks investors should consider:

 

  • Taking profits in global semiconductor stocks, especially where earnings expectations look stretched.
  • Picking stocks that can excel in a more hybrid AI world, including select hyperscalers that are adapting to more cost- and energy-aware demand for AI.

 

At the index level, while we see the S&P 500 rising to between 8,000 and 8,300 over the next year, it may continue churning sideways into the U.S. mid-term elections in November. In this environment, consider:

 

  • Keeping a higher-than-usual allocation to stocks, but being selective, rather than buying the whole market indiscriminately.
  • In fixed income, focusing first on intermediate-term bonds, and if long-term yields are high, looking for chances to add some long-term bonds.
  • Continuing to emphasize global diversification, since non-U.S. markets have been outperforming and diversification can matter more when market leadership rotates.

 

This article is based on Wealth Management Chief Investment Officer Lisa Shalett’s “Global Investment Committee Monthly Perspectives” presentation from July 8, 2026. Ask your Morgan Stanley Financial Advisor for a link to the replay.

 

Shalett heads Morgan Stanley’s Global Investment Committee, a group of seasoned investment professionals dedicated to helping investors navigate today’s markets. 

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