To seize the high ground in artificial intelligence data centers, five of America’s largest technology companies have doubled their debt over the past five years, using large-scale borrowing to pave the way for what they call “economic transformation”-style investments. Market data show that Alphabet (GOOGL), Amazon (AMZN), Meta (META), Microsoft (MSFT), and Oracle (ORCL)—the five enterprises with the largest commitments to new data center construction—have added approximately $350 billion in debt over the five-year period.
These companies firmly believe that cutting-edge AI services will generate substantial returns in the future, and investors have previously responded enthusiastically to their bond offerings. However, according to people familiar with the matter, a $25 billion bond sale by Amazon this week encountered rare market coolness, suggesting that the market’s willingness to fund the tech giants’ investments is not inexhaustible.
For most of these companies, debt costs remain relatively manageable, and profitability stays robust. Last year, the five companies’ combined interest expenses exceeded $10 billion, double the 2019 figure, but still negligible relative to each company’s free cash flow. As of the end of March, Google’s free cash flow—operating cash flow minus capital expenditures—reached as high as $64 billion.
However, signs of strain have already appeared at some firms. Amazon posted negative free cash flow in the quarter ended March 31; Oracle’s debt in fiscal 2025 stood at roughly 2.5 times its revenue, and cash burn is expected to accelerate further. S&P Global Ratings downgraded Oracle to the lowest investment-grade rating on Thursday, citing precisely its continuously rising AI spending.
Traditional software enterprises historically had little need for capital expenditures, but the rise of cloud computing has changed that dynamic—server farms require massive investment. AI data centers are even larger and chips more expensive, further driving up spending. Analysts point out that investors are growing increasingly cautious about how and when the tech giants will realize returns from their enormous outlays. So far this year, only Alphabet’s stock has outperformed the S&P 500, while Microsoft and Oracle have both seen their shares fall more than 20%.
Corporate executives, for their part, have expressed confidence. Amazon CEO Andy Jassy said in April that he has “high confidence” in the “monetization” of AI services, and Meta CEO Mark Zuckerberg also stated that demand for AI computing power continues to outstrip supply, justifying sustained investment. But analysts at Fitch Ratings say it remains uncertain whether these giants can truly achieve returns on their investments, and that much of the current hype around demand remains largely a vision.
The mounting debt burden could weaken these companies’ ability to weather future crises or technological shifts. Even firms that have long dominated the tech market face risks once their positions begin to slip. As a cautionary tale, Intel—having missed the opportunity in AI chips—remains mired in losses due to heavy borrowing under previous leadership and now relies on external assistance to keep operating.
Analysts believe that the current hyperscale cloud companies are far from that point, and that current debt levels “do not look bad.” At the same time, however, warnings have emerged that the chip stock market is showing “clear overbought” conditions. In addition, Meta’s recent adjustment to its AI strategy—considering leasing out infrastructure to external clients—has been interpreted as a signal that the company is beginning to reassess its hundreds of billions of dollars in capital expenditure plans, potentially heralding an early stage of deceleration in AI investment growth.
