AI Companies Can Borrow at Almost Zero Interest. Why Can’t Ordinary Businesses?
Zero-interest convertible bond issuance is approaching record levels in 2026, even though borrowing costs remain high across much of the economy. Data reported by the Financial Times, citing Dealogic, shows that companies had issued about $72 billion of zero-coupon convertible bonds this year by late August. AI-related businesses have been major contributors to that surge.
The contrast is striking because most companies cannot borrow anything close to interest-free. The Federal Reserve Bank of St. Louis reported that the ICE BofA U.S. High Yield Index carried an effective yield of 7.15% on September 3, 2026. Companies considered riskier by traditional credit markets can therefore face substantial financing expenses even while selected technology businesses raise billions without regular interest payments.
Why Would Investors Accept No Interest?
A zero-coupon convertible bond is different from an ordinary corporate bond. Investors may receive little or no regular interest, but they gain the possibility of converting the debt into company shares under specified conditions. That equity option can become extremely valuable when investors expect a stock price to rise sharply.
This helps explain why AI-linked companies have an unusual advantage. The Financial Times reports that ON Semiconductor, Ciena, Cloudflare and Amkor Technology are among companies that have issued zero-coupon convertibles during 2026. High share-price volatility can make the conversion feature more valuable, reducing the interest investors demand in return.
One particularly large example came from MediaTek. Axios reported that Nvidia invested $3.5 billion in a $3.9 billion zero-coupon convertible bond issued by the Taiwanese chipmaker, with Alphabet also participating. Investors were effectively gaining exposure to future equity appreciation rather than depending on a traditional coupon for returns.
Ordinary Businesses Are Judged by a Different Standard
A conventional company usually cannot offer the same attraction. A manufacturer, retailer or service business may have reliable revenue and profits, but investors are less likely to expect its valuation to multiply rapidly.
That pushes lenders back toward traditional measures such as cash flow, collateral, leverage and repayment capacity. Without the possibility of dramatic equity gains, investors generally demand interest as compensation for lending their money.
The gap is particularly visible among weaker corporate borrowers. ICE Data Indices figures published through the Federal Reserve show that single-B U.S. corporate debt yielded about 7.26% on September 3. Some individual companies pay considerably more when investors see refinancing or business-model risks.
When Growth Expectations Become Part of the Financing Package
AI businesses are therefore benefiting from something beyond low borrowing costs. Investor optimism itself has become part of their financing structure. Buyers accept less income today because they believe participation in future share-price gains may offer a larger reward.
That advantage is not guaranteed to last. Convertible bonds become less attractive when expected stock volatility falls or confidence in future growth weakens. A change in sentiment could quickly force technology issuers to offer higher coupons or more favorable conversion terms.
What the Divide Says About Capital in 2026
The financing gap does not necessarily prove that AI companies are safer borrowers. It shows that markets are willing to value their potential differently.
Traditional businesses are largely financed on what they can earn and repay today. Many AI-linked companies can also raise money based on what investors believe their shares might be worth tomorrow. For now, capital markets are sending a clear message: investors expect a significant share of future profit growth to come from artificial intelligence and the infrastructure being built around it. Whether those expectations eventually produce the required returns will determine how long this unusual financing advantage survives.