Key Highlights

  • Major technology companies are increasingly financing AI data center construction through bond markets, as combined capital expenditures at several large firms now exceed their free cash flow.
  • One major technology company's credit rating was downgraded to just one notch above junk bond status in July, following a stock market decline of roughly $230 billion in its parent company's holdings since September.
  • Five major technology and AI-related companies are projected to invest more than $800 billion combined in AI-related spending this year, with plans to add more than $1.2 trillion in 2027.
  • One large technology company's shares fell more than 25% in a single trading day after warning that AI-related capital reallocation by its customers had reduced demand for its traditional software and hardware offerings.

Technology Companies Turn to Debt to Fund AI Buildout

Major technology companies are increasingly turning to bond markets to finance the construction of AI data centers, as combined capital expenditures across several large firms now exceed the free cash flow their businesses generate. One major technology company's credit rating was downgraded in July to just one notch above junk bond status, reflecting deteriorating finances tied to its aggressive AI spending, and its stock market value has declined by roughly $230 billion since September. Other major technology companies maintain considerably stronger underlying finances, including one with a credit rating higher than that of the US government, though the durability of such ratings amid continued AI spending remains uncertain as capital expenditure continues rising across the sector.

The distinction between companies' underlying financial strength has become an increasingly important consideration for bond investors navigating the sector, since not all companies pursuing large AI investments carry the same balance sheet capacity to absorb rising leverage without credit rating consequences.

Spending Scale Reaches Historic Levels

Five major technology and AI-related companies are projected to invest more than $800 billion combined in AI-related spending this year, with plans to add more than $1.2 trillion in 2027, an amount exceeding the projected US military budget request for that year. Combined bond issuance among these companies is expected to reach $285 billion this year, up from about $109 billion last year, as the buildout increasingly relies on borrowed money rather than internally generated cash. Under current accounting rules, this spending is categorized as capital investment rather than an expense, which has helped support reported earnings even as underlying leverage increases, a distinction that has drawn increasing scrutiny as the scale of spending has grown.

Much of the revenue expected to eventually justify this spending is tied to AI startups that themselves rely on borrowed funds and speculative investment from venture capital and private equity, adding an additional layer of financial interdependence across the sector that could amplify strain if demand for AI computing capacity fails to meet current projections.

Some Companies Already Showing Strain

One large technology company's shares fell more than 25% in a single trading day in July after warning that clients were reallocating capital expenditure toward AI-related hardware at the expense of its traditional software and infrastructure offerings, marking its steepest one-day decline on record. Several major data center companies have underperformed the broader stock market this year, while newer AI-linked companies, including a recently listed aerospace and AI firm, have also seen their bonds trade at levels typically associated with lower credit quality despite investment-grade ratings, reflecting investor uncertainty about the durability of projected future revenue.

A Period of Differentiation Among AI-Exposed Companies

Market participants increasingly note that not all companies benefiting from AI-related investment are experiencing the same financial outcomes, with well-capitalized, diversified companies generally better positioned to weather continued heavy spending than those relying more heavily on debt or narrower revenue streams. Whether current spending levels ultimately generate adequate returns across the sector, or whether a period of financial strain emerges more broadly as it has during past major infrastructure investment cycles, remains an open question that is likely to become clearer only as more companies report earnings results over the coming quarters.