Tech companies worldwide have issued a record $428.3 billion in bonds this year, primarily to finance AI data centers. US firms accounted for the majority, with debt-to-EBITDA ratios nearly doubling. Skepticism is growing over whether AI revenues will justify the massive investments.
Heavy borrowing by tech companies around the world has pushed debt issuance in the sector to a record high this year, according to data from financial firm Dealogic. The borrowing spree is driven by massive investments in building data centers for artificial intelligence applications. Through the first week of December, tech companies worldwide issued $428.3 billion in bonds, up sharply from previous years.
US companies led the way, accounting for $341.8 billion of the total. European tech firms issued $49.1 billion, while Asian companies added $33 billion. The sharp increase marks a shift from the past, when tech companies typically relied on their strong cash flows to fund capital projects.
Firms have turned to debt this year due to low borrowing costs and strong investor demand. The rapid technological obsolescence and short lifespan of expensive AI accelerator chips force companies to reinvest continuously, according to Michelle Connell, president at Portia Capital Management. This structural shift is reflected in the balance sheets of major tech firms.
An analysis of 1,000 tech companies with market capitalizations of at least $1 billion found that median debt-to-EBITDA ratio rose to 0.4 at the end of September, nearly double the level during a debt surge in 2020. The increased leverage underlines the scale of investment needed for AI infrastructure.
Tech companies are largely betting that a massive surge in revenues from AI will justify their spending. However, skeptical analysts argue there is as yet no evidence that such a surge will materialize. In recent weeks, doubts about AI revenue expectations have caused stock price declines for some heavily focused AI data center companies, such as Oracle.
Scott Bickley, an advisory fellow at Info-Tech Research Group, described the AI marketplace as “overheated” and driven by a “self-serving narrative.” He warned that the current pace of investment is neither sustainable nor repeatable as a permanent shift in operating modes for hyperscalers.
The reliance on debt rather than cash reflects both confidence in future revenues and the urgency of building ahead of competitors. However, if revenue growth fails to meet expectations, the high debt levels could become a burden, particularly as interest rates may rise or investor sentiment shifts. The coming quarters will be pivotal as tech giants and investors alike await concrete evidence of AI-driven earnings.
For now, the data shows that the AI boom is fueling an unprecedented borrowing cycle, transforming how the world’s most cash-rich companies finance their growth. Whether this strategy pays off will depend on the speed and scale of AI adoption across industries.
Image credit: Unsplash
Source: Silicon UK News
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