Musk and other Silicon Valley figures talk down new cloud providers, with idle compute and tightening financing in focus

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STAR Market Daily Zhang Zhen, Editor: Ji Sheng 2026-10-26 10:19

① In Musk's view, more than 200 neoclouds will face guppy-level death and consolidation; ② Chamath Palihapitiya, a well-known Silicon Valley venture capitalist, pointed out that as an investor with a large amount of developed land assets, he has observed problems such as organizational chaos and insufficient capitalization in neocloud platforms; ③ Jensen Huang emphasized that market demand for new cloud companies is "off the charts," but a shortage of funds is hindering growth.

STAR Market Daily, October 26 — Recently, Elon Musk said in a social media reply to well-known Silicon Valley venture capitalist Chamath Palihapitiya that over the past few weeks, the debt market has almost completely cut off financing channels for neocloud vendors whose revenue depends entirely on AI data centers.

In his view, this means more than 200 neoclouds (new-type cloud service providers) will face guppy-level death and consolidation. "Some (neoclouds) can survive the difficulties, but very few," he said.

Palihapitiya pointed out that, as an investor with a large amount of developed land assets, he has observed problems such as organizational chaos and insufficient capitalization in neocloud platforms.

He emphasized that signing a non-disclosure agreement with a hyperscaler takes three months and also requires an 18-month hosting period. In 2027, there will be more stranded computing power and inventory computing resources than currently forecast; these resources have already been purchased and paid for, but in practice face insufficient returns or sit idle gathering dust. Musk agreed, saying: "I think we will see a lot of computing resources sitting idle in data centers that are not yet fully built."

Recently, against the backdrop of a renewed tightening in the interest rate environment and data center construction facing dual uncertainties in policy and financing, discussion of the risk of neoclouds "lacking money" has been heating up.

Gartner, a globally renowned consulting firm, predicts that by 2030 more than 80% of neocloud service providers will be forced to terminate independent operations, with the core reason being an industry revenue gap that will reach the trillions of dollars. The firm estimates that AI data centers will need to generate $8.5 trillion in revenue by 2030 to cover costs, but actual revenue is expected to be only $3.6 trillion.

Meanwhile, pressure has already appeared in the AI infrastructure financing market. According to reports, CoreWeave has about $50 billion in debt, and yields on some of its bonds once rose to around 15%; the company's capital expenditure this year is expected to reach as much as $39 billion, while analysts expect its 2026 revenue to be close to $13 billion and its loss to be about $2.13 billion.

CITIC Securities judges that the core market concern is not only the pressure that high leverage and high financing costs place on neocloud vendors' cash flow and debt-servicing capacity, but also that related risks may spread to the AI industry chain. It believes that the market has overmagnified this extreme scenario in the short term, and that the overall debt pressure of neoclouds is still a reflection of AI demand.

This coincides with Jensen Huang's recent statement: at the GTC conference held in Berlin, he emphasized that market demand for new cloud companies is "off the charts," but a shortage of funds is hindering growth. He said: "What is missing in the middle is the working capital needed to drive growth — because there is huge demand in every area of artificial intelligence, so there is a shortage of funds."

The above institution further pointed out that although AI capital expenditure has brought high debt problems to neoclouds and related enterprises, considering various financing methods such as public markets and GPU collateral, it believes that the AI debt problem in 2027 will remain controllable, but it is necessary to observe changes in AI at the model capability and commercialization levels after entering 2027H2, as well as subsequent trends such as rental prices.

Huatai Securities believes that under the environment of generally high interest rates in overseas developed countries, and considering event impacts such as midterm elections, AI financing risks may continue to ferment. This may further increase data center construction costs and drag down the pace of implementation. Higher construction and financing costs may intensify internal differentiation among cloud vendors; hyperscalers with more existing data centers and higher credit ratings may be more advantaged, and attention should be paid to whether third-quarter reports can bring new catalysts.

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Cloud Computing

Cailian Press statement: The content of this article is for reference only and does not constitute investment advice. Investors operate at their own risk based on this.

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