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Source document· June 14, 2026

AI spending boom is boosting profits now, but could pressure Big Tech returns later: Goldman Sachs

View original at seekingalpha.com
AI spending boom is boosting profits now, but could pressure Big Tech returns later: Goldman Sachs [Server room] gremlin The artificial intelligence investment boom has helped propel S&P 500 (SP500 [https://seekingalpha.com/symbol/SP500]) profitability to record levels, but Goldman Sachs warns that the same spending wa…
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  • Major cloud operators will spend roughly $770 billion on capital expenditures in 2026, equivalent to about 100% of their operating cash flow

    60% confidence
  • Every one percentage point change in S&P 500 ROE is associated with roughly a one-turn change in the market's P/E multiple

    60% confidence
  • Apple is expected to experience the sharpest ROE drop next year, followed by Nvidia, Alphabet and Meta

    60% confidence
  • The S&P 500 currently trades at about 21 times forward earnings, a level that ranks in the 87th percentile since 1980, while return on equity has climbed to a record 22%

    60% confidence
  • The seven largest technology stocks collectively generate a 44% return on equity, up nine percentage points over the past three years

    60% confidence
  • Improving revenue estimates, growing customer backlogs and expanding margins among major cloud providers are evidence that AI investments are beginning to generate returns

    60% confidence
  • AI adoption will eventually increase revenue and earnings per employee across corporate America

    60% confidence
  • The S&P 500 has returned 9% year-to-date despite a decline in valuation multiples, with consensus forward 12-month earnings estimates rising 17% while the P/E ratio contracted from 22x to 21x

    60% confidence
  • Economics for AI models are expected to improve as computing costs per token decline while pricing stabilizes

    60% confidence
  • Record corporate profitability has become a key pillar supporting elevated U.S. stock valuations

    60% confidence
  • The broader productivity benefits of AI could ultimately offset near-term headwinds from AI infrastructure spending on Big Tech profitability

    60% confidence
  • More than half of S&P 500 companies discussed AI-related productivity initiatives during recent earnings calls, though relatively few have yet quantified the financial impact

    60% confidence
  • Semiconductor net profit margins are approaching 50%, supported by pricing power and strong competitive positions

    60% confidence
  • Depreciation and amortization expenses for hyperscalers will rise from 7% of revenue in 2022 to 12% by 2027

    60% confidence
  • Consensus forecasts imply that return on equity for the largest technology companies will decline by an average of seven percentage points next year

    60% confidence

Data points we hold from this source

S&P 500 Index Fund · margin22 percent_ROE
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
Satellite-Terrestrial Network Integration Acceleration
Increased investment and launches in hybrid satellite-cellular networks across telecom industry; competitive responses from other carriers; regulatory activity around satellite spectrum; expansion of emergency/rural connectivity use cases
Patterns we're watching ›
Where sources disagree
ING Group
Both facts record the same metric (shares_outstanding) for ING Group at the identical observation date (2025-12-31). FACT A states 2,902,437,688 shares; FACT B states 2,902 million shares (2,902,000,000). The difference is 437,688 shares (~0.015%). This is a genuine value conflict, though the discrepancy appears to result from FACT B rounding to the nearest million while FACT A provides the precise count.
We flag conflicts openly ›
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