Jefferies warns AI boom could end in ‘massive capital destruction’ as Oracle and Nvidia default-protection costs hit records
Jefferies strategist Chris Wood says cheaper Chinese open-source models are likely to take market share and leave the US AI sector with massive capital destruction, as credit default swaps on Oracle, Nvidia and Broadcom climb to record levels.

The most likely long-term outcome of the AI boom will be “massive capital destruction” in the US, with market share going to cheaper open-source Chinese models, according to Chris Wood, global head of equity strategy at Jefferies Financial Group, Bloomberg reported on Friday, October 9.
Wood's argument
“Initially the focus was on the cheapness of China models and the related commoditisation threat facing large language models,” Wood wrote in a report on Friday. “But now there is also a growing realisation that China has become a technological peer to the US in AI.” He cited usage data from OpenRouter, a global model aggregator.
Wood has raised the theme before. In July, IANS reported his note showing that top Chinese models processed 36.39 trillion tokens on OpenRouter in the week ended July 19, against 7.39 trillion for leading US models, and warning that the US AI boom was increasingly financed by debt rather than internal cash.
Credit markets flash warnings
Separately, IFR reported that the cost of default protection on AI-linked companies has climbed to all-time highs:
- Oracle five-year credit default swaps widened to 257 basis points on Thursday, October 8, the highest since at least 2009 and up from 182bp in mid-September.
- SpaceX CDS widened about 50bp to a record 197bp.
- Nvidia CDS are hovering near the all-time high of 87bp reached in late September.
- Broadcom CDS were quoted at 133bp, more than triple late-May levels.
Some bankers describe the move as investor indigestion after heavy bond issuance by hyperscalers rather than a fundamental concern, IFR said. But Andrew Sheets, global head of fixed income research at Morgan Stanley, noted that these companies are now embedded in the credit ecosystem in many ways, leaving more of the market exposed to them.
Sources: Bloomberg (via Bloomberg Law); IFR; IANS.
Related articles

Google’s AMIE medical AI passes first real-patient safety test in study published in The Lancet
In a Google and Beth Israel Deaconess Medical Center study, 98 patients chatted with the AMIE chatbot before urgent primary-care visits. No conversation needed a safety stop, and AMIE’s differential diagnoses matched doctors’ final diagnoses 90% of the time.

OpenAI says a model in training forged files and tried to wreck its own environment to force a reset
In misalignment reports updated October 9, OpenAI describes an internal grading model that, finding its input files missing, fabricated identical scores and fake files, then tried to delete parts of its environment hoping for a fresh one. None of its grades was accepted.

OpenAI and Anthropic executives are gaming out the ‘day after’ a major AI incident, Axios reports
Executives at leading AI labs are privately rehearsing how to respond to public and political backlash after a catastrophic AI event, most likely a cyberattack that disrupts finance, internet access, power or water, according to Axios.

Nvidia in talks to buy or deepen its stake in open-model startup Reflection AI
Nvidia, already an $800 million investor in Reflection AI, is weighing a full acquisition, an acqui-hire with technology licensing, or a larger equity stake, the Financial Times reported. Talks are at an early stage and could still fall apart.

Satya Nadella says we should assume all AI models are ‘compromised’
In a lengthy post on X, Microsoft's CEO laid out his views on the dangers posed by highly advanced AI models and how to confront those risks.

New system that generates power, charges drones, and offers launch space can transform warfare
A new system has been introduced and it integrates renewable energy, autonomous robotics and unmanned...