Các ông lớn công nghệ cam kết hơn 1 nghìn tỷ USD cho các hợp đồng thuê trung tâm dữ liệu AI

The Huoxing Finance report, on August 5, according to Reuters, Microsoft, Meta, Oracle Cloud, Amazon, and Alphabet have committed approximately $1.09 trillion in future lease payments, primarily for constructing data centers to support artificial intelligence development. Data shows this scale is nearly four times the current confirmed lease liabilities of these five companies, totaling $285 billion. Due to accounting rules, data center leases that have been signed but not yet operational are typically not immediately recorded as liabilities on the balance sheet but are disclosed as future payment obligations. Reuters noted that a significant portion of current AI infrastructure spending has already been locked in. If AI computing demand continues to grow, these data centers will support cloud business expansion; however, if demand falls short of expectations, tech companies may face the risk of long-term high rental payments and underutilized capacity. Among them, Oracle Cloud has the most prominent exposure, with undisclosed lease commitments reaching $260 billion—nearly seven times its confirmed lease liabilities of $37.89 billion. These leases are primarily for data center construction and are expected to be gradually activated between fiscal years 2027 and 2029, with typical lease terms of 15 to 19 years. Microsoft disclosed the largest amount of undisclosed lease commitments at $32.91 billion; Meta disclosed $27.899 billion and further signed a $68 billion data center lease agreement in July, raising the total known commitments among the five companies to approximately $1.16 trillion. Alphabet and Amazon disclosed undisclosed lease commitments of $85.2 billion and $13.721 billion, respectively. Analysts noted that $1.09 trillion cannot be simply viewed as corporate debt, as undisclosed leases typically involve multi-year, undiscounted payments, while lease liabilities on the balance sheet reflect present values. Nevertheless, this scale indicates that tech giants are locking in massive infrastructure resources in advance for the AI era.