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Source document· May 24, 2026

Goldman Sachs sees funds fleeing software for semiconductors as tech trade evolves

View original at seekingalpha.com
Goldman Sachs sees funds fleeing software for semiconductors as tech trade evolves [bull market buying - green stock data trading screen] bunhill Hedge funds and mutual funds are continuing a dramatic rotation out of software stocks and deeper into semiconductors, according to a new report from Goldman Sachs strategist…
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  • Mutual funds are carrying their largest underweight position in software excluding Microsoft since 2012

    60% confidence
  • The 10 largest S&P 500 companies now account for 40% of S&P 500 market capitalization and 36% of index earnings

    60% confidence
  • Both hedge funds and mutual funds remain overweight industrials and underweight information technology overall

    60% confidence
  • The rotation toward semiconductors reflects investors becoming more selective about which parts of the tech ecosystem can sustain earnings growth and justify elevated valuations

    60% confidence
  • Mutual funds modestly raised cash levels from record lows, though allocations remain historically light

    60% confidence
  • Goldman's year-end 2026 target for the S&P 500 stands at 7,600, implying roughly 2% upside from current levels near 7,446

    60% confidence
  • Hedge funds are overweight consumer discretionary shares while mutual funds remain underweight; the opposite pattern holds in financials where mutual funds are overweight and hedge funds are underweight

    60% confidence
  • Hedge fund net leverage has climbed back to the 85th percentile relative to the last five years, with gross leverage elevated versus historical norms

    60% confidence
  • Goldman shared favorites Boeing, Mastercard, Marvell Technology, and Visa have returned 10% year to date, outperforming the equal-weight S&P 500 by roughly three percentage points

    60% confidence
  • Goldman Sachs forecasts S&P 500 earnings per share of $309 in 2026 and $342 in 2027

    60% confidence
  • The Nasdaq 100 trades closer to 26 times forward earnings

    60% confidence
  • Hedge funds have returned 7% year to date, benefiting from the rebound in momentum stocks during the second quarter

    60% confidence
  • The S&P 500 currently trades at about 21 times forward earnings

    60% confidence
  • Hedge fund software allocations have dropped to their lowest level since 2019

    60% confidence
  • Semiconductor exposure in hedge fund portfolios has climbed to a record high

    60% confidence
  • Large-cap mutual funds gained 7% on average in 2026 but only 30% have outperformed their benchmarks, below the historical average of 37%

    60% confidence
  • Industrials and consumer staples are among the sectors trading at the richest premiums relative to their own historical ranges

    60% confidence

Data points we hold from this source

S&P 500 Index Fund · market share40 percent
What we know · the intelligence behind this page
Live from the substrate
What we're seeing
AI Funding Surge: Capital Floods Fintech, Foundation Models, and Autonomous Systems
A concentrated burst of AI-linked funding on 2026-08-28 pushed well over $1.5B into companies spanning fraud/identity fintech (Socure, which also acquired Fravity), foundation models (Stability AI), AI agents and enterprise tooling (Instinct, Generalist AI, Emerald AI, Owner), and AI-adjacent autonomous/aerospace ventures (Gatik, Regent Craft). The breadth and simultaneity of these rounds signal that investor appetite for AI is not concentrated in a single vertical but is broadening into applied and infrastructure-adjacent domains, with consolidation (Socure-Fravity) beginning alongside fresh capital formation.
Our read on the data ›
Signals we're tracking
EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
Patterns we're watching ›
Where sources disagree
Morgan Stanley & Co. LLC
The same metric (eps) for the same entity (Morgan Stanley & Co. LLC) reported for the identical fiscal period (Q1 2026) and observation date (2026-03-31) has two conflicting values: 3.43 USD_per_share vs 3.08 USD. This is not a temporal change — both observations claim to measure the same point in time. The ~10% discrepancy (0.35 USD difference) is material for a financial metric.
We flag conflicts openly ›
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