AI Bubble Fears Grow as $1.6 Trillion Vanishes From Chip Stocks and CoreWeave Bond Yields Soar Past 16%

Global AI stocks are experiencing a sweeping sell-off as investors question the enormous costs of the technology boom. According to Reuters, approximately $1.6 trillion in market capitalization vanished from the Philadelphia Semiconductor Index over six trading sessions, while mounting concerns about debt financing and profitability sent shockwaves through international financial markets.

The turmoil spread across Asia on October 15, with South Korea’s KOSPI plunging 7.57%, triggering a temporary trading halt. Japan’s Nikkei 225 dropped approximately 4.9%, while semiconductor giants Samsung Electronics and SK Hynix suffered particularly severe declines. Investors are increasingly reassessing the enormous spending commitments supporting the AI industry’s rapid expansion.

At the center of the financial anxiety is Nvidia-backed cloud computing provider CoreWeave, whose bond yields have climbed beyond 16%, levels commonly associated with distressed debt. The company’s shares plunged more than 15% on October 14 before facing additional pressure the following morning, intensifying concerns about its ability to sustain its expansion.

CoreWeave has accumulated approximately $50 billion in debt, according to figures cited by Reuters, to purchase expensive Nvidia processors and develop specialized data centers. Its business model requires enormous upfront investments before generating sufficient revenue. Meanwhile, certain unsecured bonds have fallen below 80 cents on the dollar, reflecting growing investor concerns about repayment risks.

On October 13, investor Chamath Palihapitiya shared a chart showing CoreWeave bond yields briefly reaching 15% and asked, «Is the AI buildout creating a private credit bubble?» Elon Musk responded with a single word: «Yikes.» Their exchange amplified concerns about the growing dependence of AI infrastructure companies on increasingly expensive borrowing.

The financial unease has extended to other companies associated with AI infrastructure, including Nebius and Oracle, whose shares also experienced substantial declines. Investors are questioning whether demand for AI computing can grow quickly enough to justify the industry’s extraordinary spending. The sell-off highlights growing uncertainty over the sustainability of heavily debt-financed expansion.

New government figures released October 15 showed U.S. wholesale prices rising 1.3% in September, bringing annual producer price inflation to 6.3%, the highest level in nearly four years. The acceleration raised concerns that interest rates could remain elevated or increase further, making new data centers and debt refinancing significantly more expensive.

Research firm Gartner warned that more than $3.5 trillion in AI infrastructure investments could face potential write-downs by 2030. Analyst Will Sommer said projected AI revenues would be «insufficient to support profitable returns on all planned AI capital expenditures during this period.» The firm expects nearly $1 trillion in infrastructure spending during 2026 alone.

Gartner also projects that more than 80% of specialized AI cloud providers, known as neoclouds, could cease operating independently by 2030. Its forecasts suggest infrastructure operators may need approximately $8.5 trillion in cumulative revenue to justify planned investments, while attributable AI revenues could reach only $3.6 trillion over that period.

CoreWeave CEO Mike Intrator defended the company in an internal memorandum obtained by Reuters, arguing that financial markets can «misunderstand and act irrationally». He maintained that CoreWeave’s substantial customer commitments support its financial obligations. The company reported a $104.2 billion revenue backlog in the second quarter, alongside additional contracts announced afterward.

CoreWeave also benefits from a $6.3 billion agreement under which Nvidia has committed to purchasing certain unused computing capacity through April 2032. Nevertheless, long-term contracts do not eliminate refinancing risks or guarantee profitability. As global markets continue reassessing AI investments, questions remain about whether the industry’s extraordinary borrowing can deliver sustainable financial returns.