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

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

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

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

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

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

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

    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
The Agentic Takeover of the CFO's Office
Enterprise finance software vendors—BlackLine, OneStream, Numero AI, and Oracle—are racing to embed autonomous AI agents into core financial operations (close, consolidation, reporting), backed by consolidation M&A (Numero-Royu, BlackLine-WiseLayer), fresh leadership hires, and survey data showing nearly a quarter of CFOs plan to boost AI spending over 50%. Adoption momentum is strong even as at least one bellwether (Oracle) sees its stock lag year-to-date, suggesting the market hasn't yet fully priced in the shift from AI-as-feature to AI-as-agent in finance.
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
Morgan Stanley & Co. LLC
Two significantly different EPS values (10.21 vs 2.68 USD_per_share) are reported for Morgan Stanley on the same observation date (2025-12-31). Fact A specifies FY 2025, while Fact B's 'N/A' fiscal period is ambiguous. If both represent FY 2025 annual EPS, these values directly conflict. The magnitude of the difference (3.8x) is too large to attribute to rounding or minor calculation variations. The missing fiscal period in Fact B raises data quality concerns, but same-date observation + same attribute should reference the same period.
We flag conflicts openly ›
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