Investment giant JPMorgan Asset Management has issued a stark warning to neocloud providers, urging companies like Firmus, Nscale, and CoreWeave to transform their debt-hungry business models. The call comes as they face a higher interest rate environment. Neoclouds acquire computer chips and lease data centre space to rent computing power, primarily to large technology customers. Oliver Cox, a portfolio manager for the $US4.8 trillion ($6.8 trillion) money manager, stressed that these firms must reduce their reliance on debt for expansion. Speaking at a JPMorgan media summit in Singapore, Cox questioned the sustainability of their models if global interest rates were to climb further, highlighting market anxieties about rising borrowing costs.
The increasing cost of borrowing globally has intensified fears around an artificial intelligence bubble. With expectations of further rate rises, neoclouds are particularly vulnerable due to their heavy dependence on debt. Recent market events underscore this fragility: Australian neocloud Firmus Technologies withdrew its ASX listing after investors rejected its valuation, while Nasdaq-listed CoreWeave saw a significant sell-off. South Korean neocloud Elice plunged on its debut, and London-based Nscale lost a major customer. Elon Musk also warned that debt markets were effectively shut for many neoclouds, predicting consolidation. Cox noted public market investors are proving less forgiving of risk than early-stage venture capital firms, signaling an end to an era of easy funding.
Despite these specific challenges to neoclouds, Cox affirmed that the broader artificial intelligence trade remains robust. This perspective was echoed by US Treasury Secretary Scott Bessent and JPMorgan’s Christian Mariani, who downplayed the overall impact of neocloud financing issues. They suggested that while smaller, highly leveraged neoclouds face risks, they constitute a “small component of the overall ecosystem,” with the larger “hyperscalers” being quality businesses historically generating substantial free cash flow.
