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AI: Jobs, Power & Money
27JUL

Oracle's credit spread hits 2008 level

2 min read
10:02UTC

Torsten Slok said on 26 July that Oracle's credit default swap spread has reached its 2008 level, with debt-to-equity near 739 times at the smaller AI lenders.

EconomicAssessed
Key takeaway

Credit markets could slow AI spending well before Congress or the labour market does.

Oracle's credit default swap spread NOW sits where it sat in 2008, according to Torsten Slok, chief economist at Apollo Global Management, who told CNBC on 26 July that hyperscaler spreads are rising off the bottom and that "the trend is certainly not your friend" 1. A credit default swap prices insurance against a borrower failing to pay, which makes it the market's live estimate of default risk. Those spreads move faster than any rating agency does.

The leverage sits further down the chain. Mizuho analyst Vijay Rakesh flagged negative free cash flow, widening spreads and capital-raise risk at the smaller AI infrastructure lenders. Debt-to-equity runs near 739 times at CoreWeave, 172 at Applied Digital and 131 at Nebius, against roughly 18 at Alphabet 2. Analysts quoted by CNBC expect US credit spreads to hold their range through the third quarter, then widen in the fourth and into 2027.

Oracle told the Securities and Exchange Commission in June that AI adoption had driven its workforce reductions , the clearest corporate admission this beat has recorded. The same company NOW prices as a default risk. Lenders could impose a capital-spending slowdown on their own, and that route reverses the AI-jobs story without a vote in Congress or a turn in the labour market. Lisa Cook raised widening software bond spreads as a stability concern in May, then left the point out of her July remarks .

Deep Analysis

In plain English

A credit default swap is essentially insurance against a company failing to repay its debt. Oracle's cost for that insurance just reached the same level it was at during the 2008 financial crisis, according to Apollo Global Management's chief economist Torsten Slok. Meanwhile, some smaller companies that lend money to build AI data centres have borrowed far more than they are actually worth, in one case 739 times their equity. If AI spending slows down, these companies could struggle to repay what they owe.

Deep Analysis
Root Causes

Smaller AI infrastructure lenders like CoreWeave have financed GPU purchases through debt secured against the hardware itself and long-term compute contracts, rather than equity, producing debt-to-equity ratios as high as 739 times.

That structure works only as long as compute demand and contract renewal rates hold; any slowdown in AI spending directly threatens debt service on assets (GPUs) that depreciate faster than the loan terms assume.

What could happen next?
  • Risk

    Debt-to-equity ratios as high as 739 times at smaller AI infrastructure lenders create default risk concentrated in that segment if AI compute demand growth slows.

  • Meaning

    Market concern has moved beyond the most leveraged smaller lenders and now reaches investment-grade names, the shift Oracle's credit default swap spread reaching its 2008 level signals.

First Reported In

Update #18 · SAP freezes R&D headcount as others deny AI

CNBC· 27 Jul 2026
Read original
Different Perspectives
European Commission
European Commission
The European Commission's draft Annex III guidelines, closed for comment on 23 July, treat algorithmic scoring in recruitment, pay and termination as high-risk regardless of whether a human signs off, echoing Spain's Audiencia Nacional ruling 101/2026 on concealed scheduling algorithms. Brussels is shifting the fight from counting AI job losses to assigning legal liability for the tools themselves.
Office for National Statistics
Office for National Statistics
The Office for National Statistics recorded UK vacancies rising to 712,000 on 21 July, the first quarterly increase this beat has tracked, with payrolled employment down 85,000 on the year against May's 210,000 fall. The bulletin names no AI cause anywhere, and that is the point: nothing in the release confirms the displacement story it gets cited to support.
Christian Klein, SAP
Christian Klein, SAP
Christian Klein told investors on 23 July that SAP's research headcount will not grow for twelve months because AI agents and their token costs are absorbing the work, not because SAP is cutting jobs. He frames it as commercial arithmetic: the cost of AI-assisted coding tokens plus the salaries specialist AI hires command, not people being replaced by machines.
Betsey Stevenson, University of Michigan
Betsey Stevenson, University of Michigan
Betsey Stevenson argued that the 187,000 jobless-claims reading describes a market that hires little and fires little, not one AI is emptying. She said the real damage hides in eligibility rules and suppressed job postings, not in the headline layoff counts employers keep denying.
Comisiones Obreras, UGT and Concentrix's A Coruña works committee
Comisiones Obreras, UGT and Concentrix's A Coruña works committee
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Stanford's 'We Must Act Now' signatories
Stanford's 'We Must Act Now' signatories
More than 200 academics, including 16 Nobel laureates, published a 13 July letter warning of AI-driven labour disruption, citing Daron Acemoglu's NBER estimate that AI's total factor productivity gain stays under 0.66% over ten years. The letter's own cited economics sit well below Goldman Sachs Research's 1.5-percentage-point estimate published the same week.