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OpenAI's confidential IPO documents revealed: zero liabilities on the books, off-balance-sheet computing power and infrastructure commitments amounting to $665 billion

According to a report by The Information, the confidential IPO registration draft submitted by OpenAI shows that as of the end of March 2026, OpenAI's balance sheet exhibits "light asset" characteristics, with zero debt on the books and capital expenditures of only $46 million in the first quarter. However, in reality, the company has placed substantial infrastructure expenditures off the books, with future procurement commitments in chips, energy, and data centers reaching up to $665 billion. Financial data indicates that OpenAI's actual net loss in the first quarter was approximately $8.5 billion, with revenue costs amounting to $3.5 billion.Additionally, OpenAI demonstrates a very high characteristic of related-party funding cycles. In the first quarter, 72% of its revenue costs and 45% of total expenditures flowed to related parties (expected to be primarily Microsoft), and it directly used $488 million in equity to settle part of its computing power bills. In the data center joint venture project within its consolidated financial statements, nearly $5 billion in book losses is accounted for as belonging to external partners. The documents also reveal that its main competitor, Anthropic, is similarly engaging in large-scale off-balance-sheet expansion, including $4.5 billion in data center service commitments and $35 billion in chip leasing orders.

JPMorgan has raised its forecast for AI infrastructure investment to $5.5 trillion, as giants like NVIDIA are turning to debt financing

J.P. Morgan strategist Tarek Hamid and his team have raised their forecast for total investment in artificial intelligence infrastructure by 2030 to $5.5 trillion in a recent research report, an increase of $400 billion from their prediction last November. The bank noted that in this investment race for super-scale data centers, approximately $4.1 trillion will come from debt financing, with loans covering an average of 85% of total project costs, indicating that AI capital expenditures have shifted to a debt market-centric financing model.Since last November, global bond issuance related to AI and data centers has exceeded $300 billion. The latest typical case comes from chip giant NVIDIA, which completed the pricing of a $25 billion investment-grade bond issuance this Monday, marking its return to the bond market for the first time in five years. This issuance was conducted in seven tranches (with maturities ranging from 2 to 30 years) and attracted oversubscription of up to $85 billion, ultimately increasing the issuance size by 25% from the initial target.The research report emphasizes that although tech giants like NVIDIA, Alphabet, and Amazon are generating substantial cash flow from the AI boom (with NVIDIA estimating free cash flow exceeding $200 billion this fiscal year), these giants still choose to issue hundreds of billions of dollars in bonds. This indicates that such bond issuance is not due to a "lack of financing," but rather that the credit market is confirming the pricing of AI assets.

State Council: Strictly prohibit private equity funds from engaging in illegal activities such as borrowing, disguised debt, etc

The General Office of the State Council has released guiding opinions on strengthening regulation, preventing risks, and promoting the high-quality development of private equity investment funds. The opinions mention adhering to goal-oriented and problem-oriented approaches, addressing issues such as the need to improve the access mechanism for the private equity fund industry, inadequate regulation, incomplete systems, insufficient coordination and cooperation among ministries, central and local governments, the failure to implement the responsibilities of some government investment funds and state-owned enterprise investment fund contributors, and the use of some private equity funds as tools for illegal activities, new forms of corruption, and hidden corruption. A system and long-term mechanism for strengthening regulation and preventing risks will be established to promote the development of the industry in a standardized manner and enhance it during development.Uphold functional positioning, coordinate the overall layout, optimize increments, revitalize existing resources, support the excellent and limit the inferior, improve quality and efficiency, and strictly prohibit private equity funds from engaging in illegal activities such as lending and disguised debt. Adhere to classified regulation, implementing "one policy for one category" regulation based on different dimensions such as contributor entities and product types. Insist on regulating both legal and illegal entities, with strict regulation for legal institutions, resolute prohibition of illegal institutions, and severe crackdowns on illegal activities.Promote the revision of the Securities Investment Fund Law. Push for the issuance of judicial documents related to criminal cases involving private equity funds. Formulate regulations for the supervision of private equity fund managers, information disclosure, fundraising, and mandatory custody rules. Introduce standardized arrangements for private equity fund betting agreements. Fully establish a regulatory system for private equity funds that is primarily based on administrative regulation and supplemented by self-regulation.
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