AI Spending Pressure Pushes Tech Giants' Default Insurance Costs to Multi-Year Highs
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Alphabet's five-year CDS spread hit 64 basis points — a five-year high — as the bond market reprices the financial cost of the AI arms race.
How much has default insurance risen?
Alphabet's five-year credit default swap (CDS) — essentially default insurance on its debt — climbed to 64 basis points, the highest in at least five years.
Meta and Nvidia's five-year CDS hit 95 bps and 80 bps respectively, both the highest since at least November last year.
This means → bond investors are paying significantly more to insure against Big Tech debt defaults, a clear signal that perceived credit risk is rising.
Why is the market suddenly worried about the most profitable companies on earth?
The core driver: AI infrastructure spending is devouring cash flow. Per FactSet, the combined free cash flow of five hyperscalers — Alphabet, Amazon, Meta, Microsoft, and Oracle — is projected to plunge from $187 billion in 2025 to negative $2.8 billion in 2026.
By 2027, the picture worsens further to negative $41 billion.
In plain terms = these companies will spend more on AI than they earn — profits won't just shrink, they'll turn negative on a free-cash-flow basis.
How are they plugging the gap?
Massive bond issuance. Per Morgan Stanley, global debt issued for AI projects reached $236 billion through May this year — more than four times the same period in 2025.
Three pressures are stacking: surging debt supply + shrinking free cash flow + uncertain AI payback timelines.
This reflects a market that isn't questioning whether these companies survive — it's repricing the risk of spending too fast with returns too far out.
How do bond investors read this — danger or opportunity?
Investment-grade tech debt now trades at roughly 92 basis points over Treasuries, above the 81-bps average for investment-grade corporate bonds overall.
Joe Boyle, head of asset class specialists at Hartford Funds, said: "When you see this kind of spread widening but still have confidence in the fundamentals, it's actually an opportunity for active managers to add."
His logic: Amazon, Meta, and peers still run enormous core businesses outside AI. Even if AI returns disappoint, overall fundamentals may hold.
Where does the AI arms race end?
The signal from credit markets is already clear: the financial cost of the AI arms race is being repriced in real time.
The endgame — whether AI investment ultimately generates enough return to justify this enormous outlay — remains an open question.
This means → near-term, Big Tech credit costs stay under pressure; long-term, everything hinges on whether AI can actually earn its keep.
Content is for reference only, not financial advice.