Central banks are increasingly concerned about the implications of rising debt levels among major technology firms linked to artificial intelligence (AI) investments. The Bank of England highlighted potential risks during a recent policy meeting, noting that AI-related shares have contributed to gains in global equity markets, driven by a narrow group of companies. The Financial Policy Committee cautioned that if earnings expectations falter, it could trigger a significant market downturn due to heightened leverage and concentrated investment flows into exchange-traded funds (ETFs) and leveraged ETFs, according to a report.
Key Details
Morgan Stanley's Vishal Khanduja, head of broad markets fixed income, expressed similar concerns regarding corporate debt among Big Tech companies, which have raised substantial funds to support their AI projects. He indicated that the market may be underestimating credit risks associated with this borrowing spree. Notably, Amazon's recent plan to issue $25 billion in bonds surprised many investors, as demand for such offerings appeared weak. Khanduja noted that the total debt issued by major tech firms has reached $159 billion in the first five months of 2026, marking a record high in the corporate bond market.
Background
The Bank of England's report pointed to an unprecedented pace of investment in AI, with concerns that a downturn in AI stock prices could lead to broader economic instability. The central bank is monitoring the situation closely, as the debt levels remain manageable for now, but the potential for future risks is rising.
Related coverage: Samsung CEO Highlights AI and Foldable Phones Ahead of Event.
The growing debt levels among Big Tech firms could lead to increased volatility in the corporate bond market, particularly affecting tech stocks and ETFs. Investors may reassess their exposure to these sectors as concerns about credit risk mount. Watch for upcoming earnings reports from major tech companies, which could provide further insights into their financial health and impact market sentiment.