How AI Debt Is Reshaping Credit Markets

August 5, 2026

AI Summary

5 min read

In 2025, the group of hyperscaler tech companies issued $108 billion of debt globally. In 2026, that number has already reached $194 billion. These are cash-rich, highly rated firms that could theoretically fund their AI buildout internally. Yet they are turning to the bond market at an unprecedented scale, and the shift is reshaping credit markets in ways that investors are only beginning to navigate.

This episode of Exchanges from Goldman Sachs brings together Amanda Linehan, head of credit strategy research, and Zach Ablon from the credit sales desk to explain the mechanics, scale, and market implications of what they call the dominant theme in credit markets today: AI-related debt supply.

Why the Bond Market, Not the Balance Sheet

The obvious question is why companies with ample cash and strong cash flow from operations would borrow at all. Linehan explains that the answer lies in the sheer scale and duration of the AI investment cycle. Equity analysts expect AI-related capital expenditure to reach into the high trillions of dollars over the next several years. CapEx is already approaching cash flow from operations, meaning internal funds alone will not be enough. The hyperscalers are "appropriately getting ahead of a multi-year investment cycle," treating their capital structure as a waterfall: exhausting internal cash, then debt, then equity as needed.

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What you'll learn

1 (00:05) **The AI Debt Wave Has Arrived** - Tech companies are borrowing at unprecedented scale to fund AI build-out, reshaping credit markets.
2 (03:15) **Why Cash-Rich Tech Giants Are Borrowing** - Despite large cash piles, hyperscalers are issuing debt to get ahead of a multi-year investment cycle.
3 (04:39) **Debt vs. Equity: The Capital Structure Calculus** - Highly rated, low-levered firms have ample runway to add debt strategically without jeopardizing IG ratings.
4 (06:40) **Market Signals: Investor Indigestion Appears** - Credit spreads on AI leaders have widened sharply, and institutional demand for long-duration paper is fading.
5 (08:33) **Concentration Risk: The Duration Problem** - AI issuance is dominating the long end of the IG market, creating a structural shift in portfolio composition.
6 (11:04) **Forecasting the Debt Wave: $250B This Year, Peaking in 2027** - Amanda projects 33% of CapEx will be debt-financed in 2026, rising to 35% in 2027.
7 (13:30) **The US Bank Benchmark: $510B of Potential Capacity** - Comparing hyperscalers to the largest US banks suggests significant room for IG debt absorption.

+ Full timestamped outline available in the app

Show Notes

Credit markets are playing a growing role in the buildout of artificial intelligence, with nearly $500 billion of AI-related debt issuance so far in 2026, according to estimates from Goldman Sachs Research. Amanda Lynam, head of credit strategy research, and Zach Ablon, head of the credit sales desk in Global Banking & Markets, discuss why cash-rich tech giants are turning to bond markets, the potential risks for institutional investors, and how alternative financing channels—including private credit, infrastructure funds, and high-yield markets—are being used to fill the funding gap.

This episode was recorded on Monday, August 3, 2026.

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