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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.

Bitget launches the AI strategy workflow GetAgent Playbook, supporting one-click access to the strategy library

Bitget officially launched the AI trading strategy workflow layer GetAgent Playbook, marking the first time the Agent Harness framework is available to users. Users can select, preview, configure, and launch AI trading strategies from the Agent Playbook strategy library without having to write prompts themselves, all running in an isolated sub-account with auditable operations and transparent processes. Currently, this feature is available to GetAgent Plus and Pro users.Bitget CEO Gracy Chen stated that AI trading is evolving from Q&A to workflows, with prompt configuration being the biggest source of complexity. The Playbook allows users to easily transform trading ideas into Agent runnable and adjustable strategies through a ready-to-use strategy library (Agent Playbook).As of now, Bitget's AI trading tools have attracted over 1 million users, with a cumulative trading volume exceeding $1.2 billion. The Agent Hub covers 9 major modules and 57 tools, supporting read-only mode, simulated trading environments, and Agent exclusive sub-accounts, completely isolating agent operational permissions from the main account, and integrating the entire business chain of spot trading, contracts, copy trading, and wealth management, while exclusively supporting trading of tokenized assets in the US stock market.
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