Big Tech’s AI spending set to exceed cash flow by 2027

The five largest U.S. technology companies investing in artificial intelligence infrastructure are on pace to spend more on capital expenditures than they generate in free cash flow by 2027, according to a Reuters analysis published on Tuesday that underscores the financial strain of the AI buildout.mezha+1

Microsoft ↘ 2.18%, Alphabet ↗ 0.47%, Amazon Amazon.com, Inc. ↘ 1.49%, Meta ↘ 2.11%, and Oracle ↘ 0.32% will collectively produce roughly $340 billion in additional operating cash flow by 2027 compared with 2025 levels, but their capital expenditures will rise by approximately $534 billion over the same period — equivalent to $1.57 in investment for every new dollar of cash flow, according to LSEG consensus estimates cited by Reuters.moneycontrol+1

Spending Estimates Keep Rising

Current-year consensus capex estimates for the five companies have climbed from about $485 billion in January to around $730 billion in July, reflecting repeated upward revisions as demand for AI computing capacity continues to outpace supply. Bank of America projects total hyperscale capex will exceed $800 billion in 2026 before crossing $1 trillion in 2027.finance.yahoo+2

Reuters reported that investors are now closely watching upcoming earnings reports to determine whether AI-driven revenue growth can keep pace with the infrastructure outlays or whether shareholder returns will continue to erode.mezha

Oracle's Cash Flow Crunch

Oracle stands out as the most stretched among the group. The company reported negative free cash flow of $23.7 billion for its fiscal year ending May 2026, even as operating cash flow reached a record $32 billion, because capital expenditures surged to $55.7 billion — a 162% increase year over year. Oracle has said it expects fiscal 2027 capex to reach as high as $95 billion and plans to raise approximately $40 billion through additional debt and equity financing.tradingview+1

Oracle's stock has been under sustained pressure in 2026, with shares falling sharply from their all-time high reached in late 2025.finviz+1

Hidden Liabilities Add to Concerns

A separate Nikkei Asia investigation published this week found that the same five companies carry an estimated $1.65 trillion in off-balance-sheet obligations tied largely to AI infrastructure — more than their combined reported debt of $1.35 trillion. These hidden liabilities, which have grown roughly eightfold in four years, consist primarily of long-term data center leases for facilities not yet operational, forward commitments for GPUs and servers, and structured joint ventures with institutional investors.linkedin+2

"The five companies' combined visible and hidden obligations total roughly $3 trillion, nearly double what appears in standard credit models," according to reporting on the Nikkei findings.aiweekly