SpaceX将IPO的热度还没过，OpenAI又整了个大活： 计划在新一轮融资中募集1000亿美元。 若能筹得目标金额，OpenAI的估值可将飙升至8300亿美元。 而在两天以前，这个数字是5000亿美元。 短短48小时内，涨了3300亿美元…… 这就是OpenAI。 2023年你觉得290亿美元的估值很贵，2024年你觉得1570亿美元的估值是泡沫…… 当2025年底面对8300亿美元的估值时，又能说出什么呢？ 01 65倍"溢价" 传统的SaaS公司估值通常看市销率或市盈率。 根据Techloy及WSJ的报道，OpenAI在2025年的预计营收约为127亿美元。 巴克莱银行测算，这项技术落地后，GPT-6的训练效率将提升10倍，但前期需要430亿美元的算力储 备，这正是千亿融资的核心用途之一。 就像SpaceX的火箭，虽然烧钱，但一旦成功脱离地心引力，投资人是真的愿意买账。 按8300亿美元估值算，其市销率高达65倍。 作为对比，在SaaS最疯狂的2021年，Snowflake的市销率也就是50-80倍左右，现在大部分成熟的SaaS公 司已经回落到10-15倍区间。 那么，山姆奥特曼凭什么让投资人接受65 ...

Core Insights - Barclays Bank's latest research report concludes that the AI sector is far from experiencing a bubble burst, with capital expenditure cycles expected to continue, particularly with significant technological breakthroughs anticipated between 2027 and 2028 that could lead to a surge in computing power demand [1] Group 1: OpenAI's Revenue and Growth - OpenAI's recent revenue performance exceeded expectations, with CEO Sam Altman indicating that the company's 2025 revenue forecast was raised by approximately 15% compared to mid-year internal predictions, and the 2027 revenue forecast was adjusted from $60 billion to $90 billion, with a target of achieving $100 billion in annual recurring revenue (ARR) by 2027, one year earlier than previously expected [1] - The upward revision in revenue is accompanied by increases in key metrics such as inference computing costs, weekly active users, and average revenue per paid user, reflecting rapid growth in demand for AI technology in commercial applications [1] Group 2: Computing Resource Demand - OpenAI's substantial demand for computing resources is highlighted, with Barclays estimating that the company's computing operating expenditure budget will exceed $450 billion from 2024 to 2030, peaking at $110 billion in 2028 [2] - To ensure stable computing power supply, OpenAI has signed long-term computing power leasing contracts worth approximately $650 billion with several tech companies, including Oracle and Microsoft, which not only support OpenAI's business expansion but also encourage capital investment from partners in the AI computing sector [2] Group 3: Next-Generation Technology Development - OpenAI is advancing the development of next-generation technologies, including the GPT-6 large language model and the Sora 3 video generation model, with the potential introduction of "recursive self-improvement" technology between 2027 and 2028, which will significantly enhance model performance and efficiency but will require vast computing resources [3] - OpenAI has reserved approximately $43 billion in additional "monetizable computing power" funds to address the computing demands following the implementation of this technology [3] Group 4: Industry Competition and Investment - OpenAI's rapid development is prompting competitors like Google and Meta to increase their investments, further solidifying the continuity of the AI capital expenditure cycle [4] - To catch up with OpenAI's technological advantages, companies are expanding user bases and accelerating model iteration speeds, necessitating substantial computing investments [4] Group 5: Overall Industry Trends - The dynamics surrounding OpenAI reflect a broader trend in the AI capital expenditure cycle, with global semiconductor manufacturers increasing AI chip production capacity to meet growing computing demands, maintaining a year-on-year growth rate of over 60% since 2025 [5] - Competitors are also ramping up their computing investments, with Google increasing its Gemini model's computing input by 30% and Meta planning to double its AI data center capacity by 2026, supporting Barclays' assessment that the AI capital expenditure cycle will continue [5]