A Nikkei study has revealed that hidden debt at five major U.S. technology companies has increased eightfold over the past four years, reaching an estimated $1.65 trillion as of July 2026, largely due to surging investments in artificial intelligence infrastructure and hardware [1]. These off-balance-sheet debts, which include long-term leases for data centers, multi-year contracts for AI-focused hardware such as GPUs, and commitments to cloud infrastructure, are not always fully disclosed in the companies' financial statements, making it more difficult for investors to accurately assess risk [1].
Meta, for example, has approximately $420 billion in off-balance-sheet debt, nearly three times its reported on-balance-sheet debt [1]. Similar trends are observed at other leading U.S. tech firms, where traditional debt levels are now overshadowed by these hidden obligations [1]. The rapid expansion of AI initiatives has driven these companies to commit vast sums to infrastructure and hardware supply, further inflating their undisclosed liabilities [1].
The article notes that investors and analysts are increasingly concerned about the lack of transparency in reporting these hidden debts, which complicates efforts to evaluate the financial health and risk exposure of the tech giants [1]. While no explicit market reactions or trading advice are provided, the study underscores a growing need for more detailed disclosure and improved risk assessment practices in light of the ongoing AI investment boom [1].
CONCLUSION
The surge in hidden debts among major U.S. tech companies, driven by aggressive AI investments, is raising transparency and risk assessment concerns among investors and analysts. As these off-balance-sheet obligations now exceed traditional debt levels, the market may demand greater disclosure and scrutiny of tech giants' financial commitments.