Morgan Stanley Wealth Management’s July Global Investment Committee note argues the S&P 500 has grown lopsided: the 10 largest stocks make up about 40% of its market value and semiconductors about 18%. Chief investment officer Lisa Shalett says the AI trade is entering a cost-conscious phase that could pressure chipmakers while rewarding cloud providers. The committee’s call is to broaden the AI theme, not exit it.
Morgan Stanley Wealth Management has a warning for portfolios that have held the same cluster of mega-cap technology stocks since 2023. Semiconductor market capitalization has grown to about 18% of the S&P 500, chief investment officer Lisa Shalett noted in her July Global Investment Committee presentation, against roughly 3% for most of the index’s modern history.
Concentration runs across the whole benchmark. The 10 largest stocks represent about 40% of the S&P 500’s total market value, according to the July 2026 note, so a modest pullback in a few of those names can erase gains from hundreds of other companies.
The index has stalled as giant stocks pull apart
The S&P 500 climbed about 20% from its April low to a record high near 7,620 on June 2, fueled by optimism over the U.S.–Iran ceasefire and enthusiasm for artificial intelligence. Since then the benchmark has stalled, closing near 7,457 on July 17 despite strong corporate earnings.
But that stall is not broad weakness. Investors have punished the “Magnificent Seven” hyperscaler stocks over concerns about the cost of their AI infrastructure buildouts, producing a stalemate: one set of trillion-dollar names gets bid higher while another gets sold, leaving a concentrated portfolio flat.
Enterprises are shifting to cost-controlled AI
Shalett’s committee observed that enterprises are moving from an early adoption phase focused on maximizing AI usage to a disciplined approach that prioritizes cost control. That transition is pushing what the firm calls “hybrid engineering” across the AI technology stack.
Companies are therefore becoming more willing to blend expensive frontier AI models with lower-cost open-source alternatives and to diversify their hardware choices. That trend could pressure chipmakers whose valuations assume limitless demand while rewarding cloud providers that adapt to leaner enterprise budgets, the firm noted.
Passive investors carry the chip exposure too
Cameron Dawson, chief investment officer at NewEdge Wealth, quantified that concentration on the Thoughtful Money program: semiconductors accounted for about 2% of the S&P 500 a decade ago and the figure now sits near 18%. A passive investor who believes they hold a diversified portfolio therefore has nearly one in five dollars exposed to the chip trade.
Chip stocks are projected to deliver about 133% year-over-year earnings growth in Q2 2026, according to data compiled by the London Stock Exchange Group and cited by earnings research head Tajinder Dhillon. That single sector accounts for roughly 44% of the entire S&P index’s profit expansion. Yet the Philadelphia Semiconductor Index has fallen about 20% from its late-June record high, entering bear-market territory, according to Bloomberg.
Where Morgan Stanley is pointing money next
Investors with large gains in semiconductor holdings may want to capture profits, especially where earnings expectations appear stretched, the committee recommended. It also suggested selectively revisiting hyperscaler stocks that are retooling their businesses to serve cost-conscious AI demand. The committee emphasized global diversification too, noting that non-U.S. equity markets have continued to outperform.
Shalett’s thesis builds on a rotation Morgan Stanley first flagged in February, from AI “builders” selling infrastructure to AI “adopters” boosting margins with the technology. That rotation appeared to stall during the spring rally, but the July semiconductor selloff suggests it is now resuming.
Source: TheStreet
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