OpenAI and Anthropic would likely be rated CCC, the bottom tier of junk, if they ever touched public debt markets. That single fact explains why the AI industry's relationship with high-yield bonds, leveraged loans, and private credit matters to anyone watching the broader economy. SIFMA data puts total high-yield issuance at roughly $303.4 billion through September, against a backdrop where AI-adjacent companies need $50 billion to $100 billion in annual debt issuance just to stay operational.
The numbers get worse the closer you look. CoreWeave alone needs to raise $102 billion in debt through 2030, per UBS. Hyperscalers are expected to issue $400 billion in 2027, outpacing the entire 19th-century railroad bubble, which totaled roughly $250 billion in inflation-adjusted investment. Oracle, rated one notch above junk by S&P, has pledged $9.2 billion in personal loans collateralized against its own stock, and S&P has already flagged OpenAI as a key credit risk, estimating it accounts for roughly half of Oracle's $638 billion in remaining performance obligations. A single OpenAI default would leave Oracle holding data center leases it cannot exit.
This piece is worth reading in full because the author works through the mechanics of how junk-rated AI companies are structurally connected to investment-grade balance sheets, pension funds, and personal margin loans, creating a chain of fragility that most AI coverage ignores entirely. The Paramount bond deal, paying 9.1% on its 10-year tranche, appears here not as a curiosity but as evidence of how much speculative debt is competing for the same pool of capital. The correction on early Bloomberg data is also included transparently, and it does not change the argument.
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