AI Boom Facing Headwinds in Capital Markets

By the Editorial Team · Monday, November 2, 2026

Corporate debt linked to AI in the U.S. surged from $394 billion in 2025 to $655 billion by late 2026, with companies like Nebius raising billions amid rising borrowing costs triggered by higher interest rates. This tightening in debt markets, combined with cautious equity valuations and investor pushback, signals growing funding challenges for AI infrastructure firms as they navigate economic uncertainties.

Since the debut of ChatGPT, companies specializing in artificial intelligence (AI) have absorbed much of the available capital from a broad range of investors, including venture capitalists, equity funds, bankers, and managers of bonds and private credit. In the United States, corporate debt tied to AI surged from $394 billion in 2025 to $655 billion by mid-October 2026, with projections suggesting that nearly $1 trillion in new AI-related debt could be issued in the coming year.

Companies known as neocloud firms—those that own or lease data centers and provide the specialized servers required for AI operations—face particular vulnerabilities as rising interest rates increase their borrowing costs. Nebius, a prominent AI cloud-computing company, has raised $2.7 billion through stock offerings and issued several billion more in convertible bonds to fund expansion plans. Despite these efforts, Nebius continues to seek alternative financing strategies such as customer prepayments amid increasingly tighter debt market conditions. Although the asset-backed financing sector remains accessible, interest rate increases have pushed up borrowing expenses.

Equity markets have also shown signs of caution. Lambda, an AI-related company, recently lowered its pre-initial public offering (IPO) valuation from $14.5 billion to $13 billion due to diminished investor enthusiasm. Similarly, Nscale, a neocloud firm supported by executives formerly of Meta, has delayed its IPO amid market turbulence and ongoing discussions surrounding a $45 billion Anthropic data center project. Some banking professionals express skepticism about the company’s ability to achieve its targeted valuation of $30 billion to $35 billion in the current environment.

Meanwhile, larger hyperscale technology companies—including Meta, Amazon, Alphabet, and Microsoft—maintain strong credit ratings and continue to increase their debt issuance. However, investors in these firms have grown increasingly concerned about overexposure, contributing to a decline in bond prices to near-record lows and a rise in yields beyond typical investment-grade levels. Institutional investors have pushed back against substantial debt offerings by these major players, leading some companies to consider equity issuance as a preferred alternative.

These developments highlight mounting challenges in financing the AI infrastructure sector, reflecting broader market caution and emerging concentration risks as both debt and equity investors adjust to evolving interest rate conditions and economic uncertainties.

This article was reported by synthesizing coverage from multiple independent news outlets to present a balanced, unbiased account. Read about our editorial standards. Spotted an error? Let us know.