New York, September 28, 2026: The rapid expansion of artificial-intelligence infrastructure is creating a growing financing challenge for technology companies as major AI firms continue turning to bond markets to fund data centres, chips and other infrastructure.

US Treasury yields have climbed to multi-year highs, with the 10-year yield above 5.2% and the 30-year yield around 5.5% in recent trading. Higher benchmark yields increase the financing cost for companies raising debt.

AI Companies Need Huge Amounts of Capital

Major technology companies are spending heavily on AI infrastructure. Hyperscalers including Amazon, Alphabet, Meta, Microsoft and Oracle have increasingly used debt markets alongside their own cash flows to finance expansion.

Reuters reported that investors have become more selective toward AI-related corporate bonds as the volume of borrowing increases. Bond spreads for AI-linked issuers have remained wider than the broader investment-grade market.

Investors Demand More Compensation

The growing supply of AI-related debt means companies may have to offer investors more attractive yields to secure financing.

This does not necessarily indicate that major AI companies are facing immediate credit problems. Rather, investors are becoming more cautious about the sheer scale and frequency of new borrowing required to finance the AI buildout.

Competition for Capital

The relationship between AI borrowing and Treasury yields has also attracted attention from economists and market officials.

Federal Reserve Chair Kevin Warsh has said that large technology companies raising funds for AI infrastructure are competing with other borrowers for available capital, potentially contributing to higher long-term borrowing costs. Other analysts, including MSCI researchers, caution that the impact of AI debt on Treasury yields should not be overstated because several other factors are also driving bond yields.

Global Financing Implications

The issue extends beyond technology companies. Higher long-term interest rates can affect corporate loans, government borrowing, infrastructure projects and investment decisions across the global economy.

At the same time, global debt has reached about $365.5 trillion, according to recent Institute of International Finance figures, adding to the broader sensitivity of financial markets to borrowing costs.

For AI companies, the key challenge will be maintaining investment in data centres and computing capacity while managing the increasing cost of external financing.