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

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

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

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

    80% confidence
O que sabemos · a inteligência por trás desta página
Ao vivo do substrato
O que estamos a ver
AI Boom Hits a Fork: Slowdown Calls Clash with Capex Confidence as Markets Get Nervous
Dario Amodei's repeated calls for a global slowdown in frontier AI development, echoed by Microsoft's new humanist AI code of conduct and FTC antitrust caution, are being publicly rejected by Nvidia and Meta leadership even as hyperscaler spending draws fresh skeptical scrutiny (Wachter's analysis, Burry-style overbuilding worries) and weak guidance from Adobe and a post-slowdown-comment selloff in GE Vernova signal investor jitters. Meanwhile wealth and security effects of the AI race keep compounding — Zhang Yiming's fortune surging on AI-driven ByteDance value, a Chinese hacking firm weaponizing AI against stolen government secrets, and low-quality AI-generated products (an AI sitcom, a spam-flooding agent platform) fueling backlash even as adoption races ahead.
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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.
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Berkshire Hathaway
Both facts report Berkshire Hathaway's cash position on 2026-01-01 with identical observation timestamps, but claim vastly different values: 380 billion USD vs 400 USD. These cannot both be true for the same entity at the same point in time. The magnitude of the discrepancy (a factor of ~10^9) rules out rounding, unit conversion, or methodological differences.
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