HEDGING DEMAND INCREASES AGAINST AI DEBT

 Lenders and investors are looking to protect themselves against potential defaults by tech companies, known as hyperscalers, as they borrow hundreds of billions of dollars to invest in artificial intelligence. Demand for credit protection has increased, with the cost of credit derivatives on Oracle Corp.'s bonds more than doubling since September, and trading volume for credit default swaps tied to the company jumping to about $4.2 billion. Banks and money managers are trading more derivatives that offer payouts if individual tech companies default on their debt, with some of the biggest buyers of single-name credit default swaps being banks that have seen their exposure to tech companies surge in recent months.

Hyperscalers are highly rated, but they’ve really grown as borrowers and people have more exposure, so there are more dialogues happening on hedging. Trading activity is still small compared with the amount of debt that is expected to flood the market. But the growing demand for hedging is a sign of how tech companies are coming to dominate capital markets as they look to reshape the world economy with artificial intelligence. 

Most of this year’s $220 billion of gross AIrelated issuance has translated into new net supply to the market. On our estimates, AI-related net supply has accounted for 33% of overall USD net supply year to date. We think this trend can be sustained as part of a re-leveraging impulse which should boost net supply in USD markets in 2026.

On a stock basis also, the amount of debt tied to artificial intelligence has ballooned to $1.2 trillion, making it the largest segment in the investment-grade market. AI companies now make up 14% of the high-grade market from 11.5% in 2020, surpassing US banks which are at 11.7% of outstanding IG market.

On a company level basis, Oracle CDS (Credit Default Swaps) remains in most demand. It seems that Oracle CDS is the credit market benchmark for AI risk. Traders have piled into the company’s credit-default swaps in recent months as Oracle’s massive AI-related spending spree, its central role in a web of interrelated deals, and its weaker credit grades compared with players such as Microsoft Corp. or Alphabet Inc. have made the contracts the market’s preferred way to hedge and bet against the AI boom.  Also, Oracle’s net adjusted debt is expected to more than double to roughly $290 billion by fiscal year 2028 from around $100 billion currently where as its trailing operating cash flow as of May’25 was 21 BN USD only for one year. During the same period, the company's capital expenditures were roughly 27 BN USD significantly exceeding its operating cash flow. The difference between operating cash flow and capital expenditures resulted in a negative free cash flow of about 6 BN USD for the company.

The price to protect against the company defaulting on its debt for five years tripled in recent months to as high as 1.11 percentage point a year today, or around $111,000 for every $10 million of principal protected, according to ICE Data Services. As AI skeptics rushed in, trading volume on the company’s CDS ballooned to about $5 billion over the seven weeks ended Nov. 14. That’s up from a little more than $200 million in the same period last year. 

Summary: As AI debt financing increases further next year, demand for hedging against AI debt will significantly increase. And companies such as Oracle CDS will be closely watched for risks tied to AI sector performance. When big corporate bond issuers grow debt balances quickly and become a larger weighting in the IG (investment grade) index, it can lead to large volumes in their CDS as seen in current trends.

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