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Cost of insuring against default by AI hyperscalers hits record levels

Oracle's five-year credit default swap spread touched 212 basis points in late July 2026, the highest on record, as bond investors grow increasingly nervous about the trillion-dollar AI spending binge by hyperscalers. The five major hyperscalers—Oracle, Alphabet, Amazon, Meta, and Microsoft—issued $121 billion in US corporate bonds in 2025, up from an average of $28 billion annually from 2020 to 2024, with Goldman Sachs projecting cumulative capital expenditure of $1.15 trillion through 2027. Alphabet reported its first quarter of negative free cash flow since its 2004 IPO in Q1 2026, and total off-balance-sheet lease commitments are nearing $1.65 trillion, prompting JPMorgan to launch a customizable CDS basket product in early 2026 to hedge against the collective credit risk.

read2 min views1 publishedAug 12, 2026
Cost of insuring against default by AI hyperscalers hits record levels
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Via datacenterknowledge.com

Oracle's credit default swap spread touched 212 basis points as investors grow increasingly nervous about the trillion-dollar AI spending binge

The price tag for protecting yourself against an AI hyperscaler going belly up has never been higher. Credit default swaps on the debt of the biggest AI infrastructure spenders surged to record levels in late July 2026, a clear signal that the bond market is getting genuinely worried about the sustainability of the industry’s capital expenditure frenzy.

Oracle’s five-year CDS spread touched roughly 212 basis points, meaning it now costs $212,000 per year to insure $10 million of the company’s debt against default. For context, Oracle is one of five hyperscalers, alongside Alphabet, Amazon, Meta, and Microsoft, that have been borrowing at a pace that makes even seasoned credit investors uncomfortable.

The numbers behind the nervousness #

The spending trajectory tells the story. From 2020 through 2024, these five companies issued an average of around $28 billion in US corporate bonds annually. In 2025, that figure exploded to $121 billion. Goldman Sachs projects cumulative capital expenditure across the group will reach $1.15 trillion through 2027.

Making matters worse, Alphabet reported its first quarter of negative free cash flow since its IPO in 2004 during Q1 2026. The culprit was unsurprising: AI spending.

Total off-balance-sheet lease commitments reported by the hyperscalers are nearing $1.65 trillion. These are financial obligations that exist but don’t appear in the most commonly scrutinized debt metrics, creating a somewhat distorted picture of how leveraged these companies actually are.

Wall Street builds new tools for a new risk #

JPMorgan launched a customizable CDS basket product in early 2026, specifically designed to let investors hedge against the collective credit risk of the five major hyperscalers. Trading volumes in single-name CDS for these companies have increased sharply since the product’s introduction.

The monetization gap #

At the heart of investor anxiety is a simple mismatch: spending is happening now, but the revenue these AI investments are supposed to generate remains largely theoretical for many use cases. Credit markets don’t trade on faith. They trade on cash flow coverage ratios, debt-to-EBITDA multiples, and the ability to service obligations in the near term. When Alphabet, arguably the most profitable advertising business ever built, tips into negative free cash flow territory, it forces a reassessment of what “safe” corporate credit actually looks like in 2026.

The situation bears watching not because a hyperscaler default is imminent, but because credit markets are historically better at pricing risk than equity markets. When the cost of insuring against default hits records for companies that have never come close to defaulting, it’s worth asking what the bond market sees that the stock market might be ignoring.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our

Editorial Policy.

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