CoreWeave’s five-year credit default swaps traded around 1,155 basis points on 6 November, according to Deutsche Bank data cited by CNBC, while Nvidia’s were at roughly 139 basis points and Oracle’s at roughly 298, the levels CNBC reported the same day.
By our arithmetic, insuring CoreWeave’s debt costs about 8.3 times as much as insuring Nvidia’s (1,155 / 139), and Oracle’s about 2.1 times (298 / 139). This piece puts the week’s credit figures from our coverage side by side.
Business Pill · Credit Spread
An evergreen Business Engineer explainer on credit spreads. It teaches the general idea only and does not discuss this story.
The key insight: CNBC reported Nvidia’s credit default swaps at roughly 139 basis points and Oracle’s at roughly 298 on 6 November, with CoreWeave’s five-year swaps around 1,155 per Deutsche Bank data, so insuring CoreWeave’s debt costs about 8.3 times as much as insuring Nvidia’s, by our arithmetic. BofA data put investment-grade AI bonds 71 basis points wider than the rest of the market, by our arithmetic.
Nvidia’s swaps rose 76% in a month, CNBC reported. IFR reported the same day, citing S&P Global Market Intelligence data, that they trade at levels “more associated with a Double B rating – one notch below investment grade – than the Double A rating it holds”.
Oracle CDS traded at 58bp in October last year and now trade at around 305bp, according to IFR. CoreWeave’s five-year CDS spiked above 1,289 basis points on 5 November before easing to around 1,155, according to Deutsche Bank data cited by CNBC.
Deutsche Bank’s Jim Reid wrote in a note: “We’ve had plenty of warnings from the credit space”, CNBC reported.
Left: credit default swap spreads, basis points, as reported by CNBC on 6 November 2026: Nvidia roughly 139, Oracle roughly 298, CoreWeave around 1,155 (five-year, Deutsche Bank data cited by CNBC). Right: investment-grade bond spreads over Treasuries, BofA Global data via MarketWatch: AI issuers about 148, rest of the market 77. Two different measures on separate scales. Our arithmetic: 1,155 / 139 = 8.3x; 298 / 139 = 2.1x; 148 – 77 = 71.
The Bond Market Average
Investment-grade AI corporate bonds traded about 148 basis points above Treasuries on Thursday, 5 November, against 77 for the rest of the market, according to BofA Global data cited by MarketWatch, a gap of 71 basis points by our arithmetic. Those are bond spreads, a different measure from the swap levels above, so the two sets are shown on separate scales in our chart.
Lenders: Apollo’s two pending AI chip deals total $75 billion, a $40 billion GPU lease to SpaceX and a $35 billion financing for Broadcom’s AI platform tied to Anthropic. By our arithmetic, that is more than the $44.9 billion of chip-backed financing eight neoclouds have raised since 2023, on The Information’s list.
Contract terms: in Anthropic’s amended S-1, every Google TPU dollar sits in contracts the filing describes as non-cancelable. By contrast, $206.4 billion of the $251.3 billion tied to Nvidia GPUs, 82% by our arithmetic, can be cancelled on 90 days’ notice after early 2027 or accrues fees only as capacity is delivered.
Loan holders: Morgan Stanley Research put about $39 billion of software loans in its highest AI-disruption risk band, and $19.8 billion of that, 51% by our arithmetic, is bid below 80 cents on the dollar, according to exhibits reproduced by Exencial Research Partners.
Balance sheets: Alphabet’s 10-Q shows nine-month capital spending of $132.0 billion against operating cash of $127.1 billion, and $75.2 billion of SpaceX shares “subject to short-term restrictions on the ability to sell”.
The Equity Side
Shareholders see the same week through prices. Intel fell 53.2% this quarter through the 6 November close, while AMD fell 26.6% and Nvidia 18.3% over the same period, by our arithmetic from Nasdaq.com closes. Those are share prices, not credit measures; Intel’s quarter includes a 28.6% one-day fall on 30 October, by our arithmetic from Nasdaq.com closes.
Our pattern piece AI Runs on Credit Now. Who Holds the Risk?, with data as of 4 November, found that of $158.5 billion of AI borrowings with a stated amount in our tracker, $94.5 billion (60%) sits with labs, data-centre vehicles and neoclouds. As we read it, CoreWeave’s swap level is one market price on that part of the chain this week.
The Business Lever: Credit Prices the Chain, Not One Company
CNBC reported that rising CDS imply higher financing costs down the line. On the figures above, the swaps market charges the least to insure the chip maker, more for the cloud company buying chips with debt, and the most for the neocloud that leases capacity, by our ranking of the reported levels.
The Structural Read
As we read the reported levels, the swaps market charges the least for the chip maker and the most for the company that leases capacity, with the cloud company buying chips in between.
As we read the week’s filings and reports, the risk is spread across lenders such as Apollo, guarantors such as Nvidia, contract counterparties in Anthropic’s compute deals and holders of software loans, not only across shareholders.
As we read CNBC’s point that rising CDS imply higher financing costs down the line, the swap levels are a cost signal for the most leveraged names in the chain first.
Jim Reid, Deutsche Bank, as reported by CNBC
“We’ve had plenty of warnings from the credit space”
Three Implications
FOR BORROWERS CNBC reported that rising CDS imply higher financing costs down the line, and CoreWeave’s five-year swaps spiked above 1,289 basis points on 5 November before easing to around 1,155, according to Deutsche Bank data cited by CNBC.
FOR LENDERS AND GUARANTORS Apollo’s two pending AI chip deals total $75 billion, and Nvidia’s quarterly report lists $108.5 billion of maximum exposure under guarantees that stand behind some of its customers.
FOR THE NUMBERS TO WATCH Goldman Sachs expects $440 billion of hyperscaler debt supply in 2027, MarketWatch reported, and Morgan Stanley Research puts about $39 billion of software loans in its highest AI-disruption risk band.
The essay argues that “the capex race is no longer a corporate spending cycle” and that “It is a sovereign-scale financing problem dressed in tech-company clothing”.
As we read it, the swap levels in this piece show where that financing problem is priced most steeply this week: at the neocloud end of the chain, where CoreWeave’s five-year swaps sat around 1,155 basis points. The essay does not discuss these swap levels.
What Is Not Established
CNBC does not say which data provider supplied Nvidia’s and Oracle’s levels or their tenor; only CoreWeave’s is stated as five-year. Oracle’s level is roughly 298 in CNBC’s report and around 305 in IFR’s. The swap levels and the BofA bond spreads are different measures and are not compared with each other.
Apart from MarketWatch’s link between debt supply and AI bond spreads, the reports we cite do not tie these figures to each other. The ordering along the chain is our reading of reported levels around one date, not a reported finding.
This Week In The AI Supercycle
The Great Convergence of Capital, Power, and Geopolitics
This week’s issue: for two years the AI build-out was priced as a supply story, and last week as a credit story. This week it was priced as a permission story, and the answer arrived as a cost, not a ban.
CNBC’s 6 November report put Nvidia’s swaps at roughly 139 basis points and Oracle’s at roughly 298, with CoreWeave’s five-year swaps around 1,155 on 6 November per Deutsche Bank data. BofA data put AI investment-grade bonds 71 basis points wider than the rest of the market on 5 November, by our arithmetic.
A note on sourcing. This angle piece sets side by side figures already published in our own coverage this week, each sourced there: swap levels from CNBC’s and IFR’s reports of 6 November 2026 (Deutsche Bank and S&P Global Market Intelligence data as cited), bond spreads from BofA Global data and the Goldman Sachs tally as reported by MarketWatch, Apollo’s deals from SpaceX’s 8-K and The Information, and company figures from Alphabet’s and Nvidia’s quarterly reports, Anthropic’s amended S-1 and Morgan Stanley exhibits reproduced by Exencial Research Partners. Ratios, differences and the ranking along the chain are our arithmetic.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
