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Chronicles

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DTCC: credit default swaps tied to a handful of US tech groups have climbed 90% since early September, as investors seek ways to protect against an AI debt bust

Trading in insurance-like products that protect against tech company defaults is booming  —  Trading in products that pay …

Financial Times

Context & Ripple Effects

The rise in tech-company CDS activity follows a broader buildup in AI-linked borrowing: related coverage put AI-related debt at $1.2T and the largest investment-grade segment, while tech issuers had raised about $157B in US bond markets in 2025.

This is a market signal rather than evidence of imminent defaults. It matters because investors are increasingly treating the financing of AI buildouts as a discrete credit risk, a concern that continued to lift single-name tech credit-derivatives trading after this report.

First-order effects

  • Investors seeking protection against defaults by the affected US tech groups are driving a roughly 90% increase in CDS trading, making their credit risk more actively priced.
  • The named tech borrowers face a more visible market gauge of AI-debt anxiety, even though higher CDS activity alone does not establish deterioration in their underlying credit quality.

Second-order effects

  • Higher CDS liquidity gives bondholders and lenders a more usable hedge, which can sharpen scrutiny of AI-related leverage and the cash flows expected to support it.
  • Other AI-linked borrowers may face closer comparison with the tech names attracting protection demand, potentially widening the gap between issuers viewed as well funded and those reliant on continued debt access.

Third-order effects

  • If hedging demand remains elevated, AI infrastructure financing could become more explicitly segmented and priced as a credit cycle rather than solely an equity-growth story.
  • The pattern points toward a larger role for credit derivatives in transmitting doubts about AI capex into funding conditions; whether that becomes a constraint depends on actual borrowing, returns and refinancing performance.

The trend: AI infrastructure is becoming a credit-market trade, with debt issuance and derivative hedging increasingly shaping how investors assess the durability of AI-led capital spending.

Discussion

  • @fundfanatic Gavin Lumsden on x
    Volumes in credit default swaps, which bond investors use to protect themselves against defaults, are soaring on fears that the artificial intelligence boom could turn into a bust, says @ft according to data from clearinghouse @the_DTCC.
  • @aidan.skinner.me.uk Aidan Skinner on bluesky
    This can only end one way now  —  www.ft.com/content/c5f9...
  • @thetranscript_ @thetranscript_ on x
    $ORCL Oracle CFO on their FY26 CapEx forecast by $15B: “Given the added RPO this quarter that can be monetized quickly starting next year, we now expect fiscal 2026 CapEx will be about $15 billion higher than we forecasted after Q1” [image]
  • @luxalgo @luxalgo on x
    REPORT: Oracle $ORCL now has $248 Billion of AI/cloud data center lease commitments. This is up $150 Billion from the $99 Billion in commitments reported at the end of August. [image]
  • @edzitron.com Ed Zitron on bluesky
    I never thought I'd say this, but I genuinely wonder if Oracle could die!  One of the few true bailout targets I'd humor.  They're doing $248bn of lease deals while spending $12bn in capex a quarter, negative cash flow too.  Nasty stuff  —  www.theinformation.com/briefings/ or...
  • @edzitron.com Ed Zitron on bluesky
    Oracle added $148bn of lease agreements to make sure it can provide the compute to OpenAI for a deal that OpenAI cannot afford to pay for.  OpenAI is probably like $30bn+ of the $52bn of revenue Oracle is meant to book from its backlog.  We're setting up for an existential threat…