In the wake of the US midterm elections, a severe wave of selling hit global financial markets, erasing roughly 2.5 trillion dollars in market capitalization within 48 hours. The tech-heavy Nasdaq dropped by approximately 5 percent, while European markets followed suit, with the DAX losing 2 percent and the FTSE 100 dropping 2.35 percent at its intraday low. What initially appeared to be a routine correction has exposed deep structural stress in heavily leveraged AI infrastructure bets.
Debt markets financing the breakneck buildout of specialized computing facilities are bearing the brunt of the shock. Andrzej Skiba, head of US fixed income at RBC Global Asset Management, reported heavy selling of AI infrastructure debt securities by hedge funds rushing to liquidate leveraged positions. These funds face compounding pressure from elevated carrying costs and cooling expectations for near-term revenue generation. The deleveraging wave is dismantling layered debt vehicles that assumed uninterrupted demand for model training capacity.
The depth of the distress became tangible when an unnamed institutional creditor abruptly placed a 500 million dollar portfolio of AI data center loans up for auction. The package includes a 25 million dollar credit tranche tied to a facility in New Mexico involving SoftBank, Oracle, and OpenAI. Oracle had previously invoked a force majeure clause regarding the project, rattling confidence among lenders who had considered tier-one tech backing virtually risk-free.
Concurrently, the cost of insuring debt issued by specialized neocloud providers spiked sharply. Credit default swap spreads for these dedicated compute hosts surged to around 500 basis points, signaling severe anxiety over refinancing capabilities. Smaller cloud operators are increasingly squeezed between tumbling market rates for rented compute and long-term capital expenditure commitments for hardware and energy. This liquidity squeeze threatens to stall regional infrastructure projects that rely on constant debt rolling.
The broader systemic risks prompted an explicit warning from global economic authorities in Washington. International Monetary Fund chief Kristalina Georgieva warned that a sudden cooling of the AI capital expenditure cycle could destabilize monetary policy frameworks worldwide. Prior IMF models had already indicated that an abrupt pullback in AI infrastructure spending could shave 1.8 percent off US gross domestic product by 2028. Globally, economic output could face a 1.1 percent reduction if projected corporate returns fail to validate the multi-billion-dollar investments.
The market rout has also cast immediate doubt over upcoming corporate financing milestones across the sector. Heavyweights such as Anthropic are now forced to evaluate significant valuation discounts or postpone capital-raising timelines altogether. Until foundation model builders and hardware operators can prove durable cash flows from end users, credit markets are likely to enforce strict discipline on speculative expansion.