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Source document· March 7, 2026

Google, Meta and the AI ‘hyperscalers’ are on a $1 trillion borrowing binge after years of printing cash. Here’s why Big Tech’s pivot to debt matters

View original at finance.yahoo.com
Google, Meta and the AI ‘hyperscalers’ are on a $1 trillion borrowing binge after years of printing cash. Here’s why Big Tech’s pivot to debt matters Almost every major capital spending boom during the past 200 years has ended in bankruptcies, consolidations, and tears—but also wins for the victors…
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  • The issue for us is the spreads are very, very tight. And as you go longer, there's not much of a yield pickup at all

    80% confidence
  • It's different this time, which is obviously a bit of a cliché, but for now at least, this is being approached quite prudently

    80% confidence
  • The NC pension system expects the wave of issuances to be well absorbed in 2026, much like it was in 2025

    80% confidence
  • Oracle pledged to raise $45 billion to $50 billion more this year, split between debt issuance and equity

    80% confidence
  • Any kind of large capital expenditure cycle that we have seen over history at some point leads to the risk of overinvestment

    80% confidence
  • Every company will be quite different. There will be winners and losers in this environment

    80% confidence
  • In an asset-light model, you tend to have higher equity multiples, and in an asset-rich model, you have multiples that are a little lower

    80% confidence
  • The yields for the hyperscalers' bonds are near 5%, which is attractive on its own before factoring in the strong balance sheets and corporate profitability

    80% confidence
  • We are incorporating these obligations and making those adjustments, particularly given the size of the leases and their growth potential. Because ultimately, in our mind, these are commitments that they have to honor. We have to effectively view them as debt when we're reviewing the credit quality of these companies

    80% confidence
  • On-balance sheet debt as well as economic debt related to not-yet-begun leases should be on investors' radar as they think about risk

    80% confidence
  • You only find out after the fact. If you start to see it ahead of time, then others see it too, and investment starts to slow down on its own

    80% confidence
  • The fact that investors are comfortable taking down 30-and 40-year debt, in some cases 100-year debt, certainly suggests that investors are very comfortable that this is a balanced risk-reward opportunity

    80% confidence
  • There may be some form of over investment over the next two years that leads to a correction or a growth slowdown

    80% confidence
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Ce que nous observons
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.
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Signaux que nous suivons
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
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Là où les sources divergent
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.
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Google, Meta and the AI ‘hyperscalers’ are on a $1 trillion borrowing binge after years of printing cash. Here’s why Big Tech’s pivot to debt matters — Source | Via News | fr.VIA.NEWS