Over 200 neoclouds might face demise or consolidation because lenders are reluctant to finance businesses that depend wholly on AI demand,” SpaceX CEO Elon Musk warned in an X post recently.
“Debt markets have almost entirely shut off access to money for any company that doesn’t have substantial revenue independent of AI data centers,” Musk wrote. He added that SpaceX is immune because it has Starlink which generates revenue outside of the AI business. Also, SpaceX has already in hand US$ 40 billion in debt financing.
This is consistent with an article published by w.media recently which predicted that in the event of the AI boom popping, “… what’s likely to happen is that strong hyperscalers and top facilities will continue expanding while highly leveraged neoclouds and speculative projects will struggle. Private credit, special-purpose vehicles or data center bonds will take the first hit but there likely won’t be a massive equity crash.”
Fortune recently wrote that “paying for AI infrastructure has strained Silicon Valley’s deepest pockets, with even Meta reporting negative US$2.1 billion in free cash flow last week as its spending on data centers and chips surged.”
The earlier w.media article had said, “The sheer size of the investment needed to keep the AI trajectory going is unprecedented and so extraordinary that questions since 2023 have been asked about when this supposed AI bubble would eventually pop.
“But instead of winding down because the promised revenue has not kept up with capital expenditure so far, the parties in the ecosystem have continued to pump relentless (some say ‘obscene’) amounts of cash into the AI ‘black hole’ (where cash disappears and continuously requires larger amounts to keep the hole from imploding).
“The amounts have reached such dizzying heights that even hyperscalers that were previously awash with cash now have to borrow to sustain the AI momentum. The Financial Times (FT) reported that since 2025, “hyperscalers have tapped the US$11.7 trillion US corporate debt market repeatedly, so much so that they have to begin raising debt in foreign currencies to broaden the investor pool.”
“80pc will stop operating by 2030”
Fortune.com affirmed that by saying, “Neoclouds, firms that buy chips and then rent out GPU computing capacity for AI, borrow heavily to buy expensive Nvidia chips and build data centers, and then lease out that capacity to model developers.
“While hyperscalers like Google and Meta have other sources of revenue they can lean on to fuel their AI spending, neoclouds’ survival depends on appetite for compute. So if borrowing costs go up or customers cut spending, neoclouds will struggle to pay off their debts.”
Research firm Gartner predicted recently that cost pressure and lack of a differentiating business model will force 80 per cent of neoclouds to stop operating by 2030. “Data center owners need to make US$8.6 trillion in revenue to cover financing costs and capital spending, but enterprise and consumer AI revenue linked to those data centers is forecast at only US$3.6 trillion.” That’s a jaw-dropping US$5 trillion gap.
AI infrastructure is also competing with government debt and deficit financing for funding, creating a “shortage of capital” for the industry, opined an analyst. Additionally, hyperscalers are issuing debt and stock in record numbers with plans to raise more in future to fund their AI efforts.
CoreWeave however argued that lenders distinguish between speculative capacity and businesses with differentiated technology, creditworthy customers, contracted revenue and a record of delivering, as per its response to Fortune.