OpenAI, Microsoft Rework Partnership Terms to Pave Way for IPO
moboyou 2025-06-04 00:12 8 浏览
(Image Source: Unsplash)
AsianFin -- OpenAI and Microsoft are renegotiating the terms of their multibillion-dollar alliance in a move that could clear a path for the ChatGPT creator to go public, while preserving Microsoft’s access to cutting-edge AI technology, the Financial Timesreported Sunday.
At the heart of the talks is Microsoft’s more than $13 billion investment in OpenAI and how much equity it will hold in the company’s restructured for-profit arm. According to the report, Microsoft is willing to give up part of its stake in exchange for extended rights to AI technologies developed beyond the current 2030 licensing cutoff.
The two sides are also reworking a broader commercial agreement that dates back to 2019, when Microsoft made its initial $1 billion bet on OpenAI.
The talks come as OpenAI prepares for a potential initial public offering and streamlines its revenue-sharing model. Last week, The Information reported that the company told investors it will reduce the percentage of revenue shared with Microsoft as part of the restructuring.
In January, Microsoft modified aspects of its agreement with OpenAI after entering a massive joint venture with Oracle and Japan’s SoftBank to build up to $500 billion worth of AI data centers across the United States.
Microsoft Can't Replicate OpenAI's Success
On the first trading day of May, Microsoft overtook Apple to reclaim its position as the world’s most valuable technology company by market capitalization.
The software giant’s resilience in a turbulent macroeconomic environment is largely attributed to the robust performance of its cloud business and the relative insulation of software from tariffs in the ongoing global trade tensions. These advantages have helped Microsoft maintain its growth trajectory while others faltered.
CEO Satya Nadella has emphasized the defensive nature of enterprise software amid inflation and slowing economic growth. “Software is the best resource to combat inflation and the pressures of slowing economic growth, enabling higher efficiency and low-cost development,” Nadella said.
Yet, Microsoft's AI strategy faces potential headwinds due to the increasingly complex relationship with its key partner, OpenAI.
OpenAI, co-founded in 2015 by Sam Altman, Elon Musk, and others with over $1 billion in pledged investments, began working closely with Microsoft just a year later. Azure became OpenAI’s default cloud platform, forming the backbone for its large-scale AI research and development.
In 2019, as OpenAI transitioned toward commercialization and Altman took the reins following Musk’s departure, Microsoft invested $1 billion and became OpenAI’s exclusive cloud and licensing partner. The two firms committed to co-develop next-generation Azure AI supercomputing infrastructure.
Microsoft doubled down with another $2 billion investment in 2021, rolling out products such as GitHub Copilot and Azure OpenAI Services. Then, following the explosive debut of ChatGPT in November 2022—which amassed over 100 million users in two months—Microsoft injected an additional $13 billion into OpenAI. At its peak, ChatGPT generated more than $3 billion in annualized revenue and surpassed 20 million paid users.
But by 2025, market dynamics began to shift.
China's DeepSeek, an open-source AI model, gained global traction. OpenAI faced executive departures, and its latest inference models failed to impress. Meanwhile, legal disputes involving Elon Musk resurfaced, and investor focus pivoted to AI infrastructure and real-world application ecosystems. The competitive landscape began to display signs of consolidation, with dominant players edging out the rest.
In February, OpenAI launched “Stargate,” a joint venture in the U.S. with Japan’s SoftBank Group, Oracle, MGX, and others. Backed initially by $100 billion—with SoftBank already investing several billion—the fund aims to scale up to $500 billion over the next four years.
To further accelerate commercialization, OpenAI announced a major restructuring in March. The company revealed plans to raise $40 billion from institutional backers including SoftBank, which secured a conditional "betting clause" that values OpenAI at $300 billion (approx. 2.1 trillion RMB). The clause allows SoftBank to halve its investment to $20 billion if OpenAI fails to convert to a public benefit corporation (PBC) by the end of 2025.
Microsoft is increasingly forging its own path in AI model development, adopting a strategy that balances collaboration and competition with OpenAI. The strategic shift reflects evolving priorities and changing mindsets among the companies’ leadership.
Currently, OpenAI reports over 500 million weekly active users, up from 300 million in December 2024. Yet, Microsoft has been quietly building its own AI muscle.
In March 2024, Microsoft CEO Satya Nadella made a pivotal move by bringing on board Demis Hassabis, the renowned AI scientist and founder of Google DeepMind and Inflection AI. Microsoft paid $650 million to license Inflection’s technologies and acquire its research team. Soon after, Hassabis was named CEO of Microsoft AI.
Hassabis quickly consolidated Microsoft’s fragmented AI efforts into a unified model development division led by Inflection’s co-founder and Chief Scientist, Alex Simonyan. Under his leadership, Microsoft has been developing its own large-scale models—internally called MAI—which are said to rival those from OpenAI and Anthropic. The company also integrates models from Anthropic, xAI, DeepSeek, and Meta to enhance its Copilot assistant.
“This is an era of fierce competition and limitless innovation,” Hassabis said. “We’re evaluating every model from every major lab, including open-source options. What we’re building will surprise many.”
Hassabis has also pushed Microsoft to accelerate work on AI reasoning models. In mid-2024, tensions emerged when he questioned OpenAI’s transparency around its o1 Chain of Thought model. Frustrated by a lack of technical documentation, Microsoft began training its own reasoning models—although progress has been slower than hoped. Meanwhile, OpenAI has kept pace, rolling out its GPT-4.5 and o3 preview models in quick succession.
AI Chief Mustafa Suleyman emphasized that Microsoft’s priority is long-term self-reliance in AI. “We’re focused on the next decade,” he said. “Our goal is to ensure Microsoft builds the internal capabilities to develop world-class models and collaborate on using the best ones available.”
OpenAI is doubling down on AI coding tools, announcing a $3 billion deal to acquire Windsurf (formerly Codeium), marking its largest acquisition to date.
Founded in 2021 by MIT alumni Varun Mohan and Douglas Chen, Windsurf has grown rapidly, securing $243 million in funding and reaching a $1.25 billion valuation. With annual recurring revenue of around $40 million, the acquisition aims to reinforce OpenAI’s competitive edge in the booming AI programming assistant space.
Meanwhile, Anysphere—the parent company of AI coding tool Cursor—has raised $900 million in a funding round led by Thrive Capital, with participation from Andreessen Horowitz and Accel. Cursor’s ARR has hit $300 million, and the company has twice rejected OpenAI’s acquisition offers, signaling its confidence in independence.
The AI coding sector has emerged as a hotbed for commercialization, thanks to clear revenue potential and growing demand. OceanBase CTO Yang Chuanhui told TMTPost that generative AI is already handling repetitive development tasks, urging developers to embrace AI tools or risk falling behind.
Microsoft is already reaping benefits: Nadella recently said that 20–30% of the company’s codebase is now AI-generated. He stressed that the long-term value in AI lies in computation and reasoning capabilities. “This isn’t just a model race—it’s about building tools that power economic growth,” Nadella noted, while cautioning that AI won’t fully replace human cognitive work.
Deloitte’s latest China High-Tech High-Growth 50 and Rising Stars report underscores AI’s role as a critical post-digitalization productivity driver. Cheng Zhong, Managing Partner of Deloitte China's TMT industry practice, noted that more than half of the shortlisted firms now focus their R&D on AI and machine learning.
The report highlights rapid advances in generative AI across applications like text-to-image/video, content generation, and AI-enhanced music and design. While most current use cases are B2B, consumer applications—particularly AI+education—are gaining ground, with law, finance, and healthcare also showing strong potential.
At the 27th China Beijing International High-Tech Expo, Deloitte launched its 2025 “China Technology Fast 50 and Rising Star” program, an annual global initiative recognizing top innovators. Past winners include tech giants like Microsoft, Apple, Alibaba, Tencent, and ByteDance.
Zhao Jindong, National Managing Partner of Deloitte’s Fast 50 program, said leading companies consistently share traits such as AI investment, R&D intensity, sustainability, and ecosystem collaboration—qualities that will define future tech leadership.
On the path to commercialization, OpenAI is poised to begin generating substantial revenue from its free user base and new product lines starting next year. The company has informed current and prospective investors that by around 2030, revenue from AI agents and emerging product categories is expected to surpass that of ChatGPT, its flagship chatbot. Projections indicate OpenAI’s total revenue could reach $125 billion by 2029, rising to $174 billion by 2030.
According to the Financial Times, OpenAI is preparing to renegotiate its agreement with Microsoft, which currently includes access to OpenAI’s IP—such as its large language models and AI technologies—and a revenue-sharing arrangement. The proposed revision could reduce Microsoft’s revenue share from 28% to 10%. In return, Microsoft is reportedly considering giving up a portion of its equity stake in OpenAI’s for-profit entity to maintain access to future technologies developed beyond 2030.
Meanwhile, Microsoft’s latest earnings report reveals that its annual revenue from AI-related products has surpassed $13 billion—12 times higher than the monthly figure from the prior period—exceeding market expectations. This surge is primarily driven by Azure cloud services, enterprise subscriptions to Office 365, and AI tools for developers, including GitHub Copilot.
- 上一篇:APIJSON快速入门-零后端代码,接口所见即所得
- 下一篇:Linux基础知识
相关推荐
- jQuery EasyUI使用教程:创建展开行详细编辑表单的CRUD应用
-
当切换datagrid视图到"detailview"时,用户可以展开一行来显示该行下面的任何详细信息。此功能允许用户为放置在行详细信息面板中的编辑表单提供恰当的布局。在本教程中,我们使用DataGri...
- 前端入门——html 表单控件使用(html表单组件)
-
上篇介绍了表单的使用,表单有很多控件,比如输入框,密码框、文本域,按钮等。按类型可分如下:输入类控件菜单类控件输入类组件——input此类控件有很多种类型,使用<inputtype=...
- [北大青鸟广州新嘉华]HTML5 表单属性有哪些?(1)
-
在编写HTML5页面时,我们很多时候都需要用到表单属性,那么HTML5作为一个新晋IT界红人,HTML5表单属性有哪些呢?今天先来分享一下其中的<form>/<input>...
- JavaScript FormData 对象(js file对象)
-
下面的代码创建了一个空的FormData对象:varformData=newFormData();//CurrentlyemptyFormData.append()FormData...
- 「layui」表单验证:验证注册(表单验证是什么)
-
注册界面手动验证获取短信验证码代码原文<!DOCTYPEhtml><htmllang="zh"><head>&...
- php使用file_get_contents(‘php://input‘)和$_POST的区别
-
为什么和第三方平台对接接口的时候,在接收http请求数据包时,一般都是用file_get_contents("php://input"),而不是用$_POST呢?file_get_co...
- 专为Vue打造的开源表单验证框架,Github star7k+——VeeValidate
-
介绍vee-validate是Vue.js的基于模板的验证框架,可以验证输入并显示错误。基于模板,只需为每个输入值更改时指定应使用哪种验证器。系统会在支持40多种语言环境的情况下自动生成错误。现成的规...
- 如何通过FORScan修改福特汽车系统模块内置数据
-
如何在Windows电脑或平板电脑上使用FORScan进行各种调整或编程MOD。FORScan与多个蓝牙或Wi-FiOBD适配器兼容。我个人建议您使用vlinkerMC蓝牙或vlinerMCW...
- PHP如何上传文件(php中实现文件上传需要用到哪几个函数)
-
文件上传是网站开发中常见的功能之一,它可以使用户轻松上传图片、音频、视频等文件。在PHP中,实现文件上传也非常简单。下面为大家介绍具体的步骤,让你的网站功能更加强大。步骤一:创建文件上传表单首先,我们...
- PHP入门读书笔记(十六):WEB页面使用PHP
-
Web表单主要用来在网页中发送数据到服务器,经过程序处理中,将用户所需要的信息再传递给客户端的浏览器上。这样就形成了一个浏览者和网站之间的一个互动。一、表单的提交方式<formname=’NA...
- 前端入门——html 表单(前端的表单是怎么实现的)
-
前言前面已经学习相关html大部分知识,基本上可以制作出简单的页面,但是这些页面都是静态的,一个网站如果要实现用户的互动交流,这时表单就起到关键的作用,表单的用途很多,它主要用来收集用户的相关信息,是...
- HTML表单4(form的action、method属性)——零基础自学网页制作
-
表单的工作过程表单的信息发送与处理过程可以简单的进行图示,如下图。以注册会员为例,用户在自己的电脑上打开相应的注册表单页面填写信息,完成填写后点击提交按钮,也就是图中1所示过程。这时浏览器会将这些信息...
- 为你的WordPress widget建立表单(wordpress divi)
-
通过之前的三部分教程我们已经创建了一个自己的WordPresswidget。今天我们将给大家介绍如何为你的widget创建表单,以至于WordPress可以及时的更新widget设置。为widget...
- 如何使用PHP编写一个简单的留言板?
-
留言板是一个常见的Web应用程序,允许用户在网站上发布和查看留言。在本文中,我们将使用PHP编写一个简单的留言板,介绍构建过程中的关键步骤和技巧。一、准备工作在开始编写留言板之前,我们需要准备好以下工...
- 3分钟拥有一个属于自己的博客网站「腾讯云篇」
-
一、前言想要搭建一个让全世界的人都可以访问的网站,我们最少需要准备三样东西:①服务器腾讯云服务器首年低至40元/年,「链接」阿里云服务器新用户可以免费使用6个月,新人特惠_云产品推荐_云服务器-阿里云...
- 一周热门
- 最近发表
-
- jQuery EasyUI使用教程:创建展开行详细编辑表单的CRUD应用
- 前端入门——html 表单控件使用(html表单组件)
- [北大青鸟广州新嘉华]HTML5 表单属性有哪些?(1)
- JavaScript FormData 对象(js file对象)
- 「layui」表单验证:验证注册(表单验证是什么)
- php使用file_get_contents(‘php://input‘)和$_POST的区别
- 专为Vue打造的开源表单验证框架,Github star7k+——VeeValidate
- 如何通过FORScan修改福特汽车系统模块内置数据
- PHP如何上传文件(php中实现文件上传需要用到哪几个函数)
- PHP入门读书笔记(十六):WEB页面使用PHP
- 标签列表
-
- 外键约束 oracle (36)
- oracle的row number (32)
- 唯一索引 oracle (34)
- oracle in 表变量 (28)
- oracle导出dmp导出 (28)
- oracle两个表 (20)
- oracle 数据库 字符集 (20)
- oracle安装补丁 (19)
- matlab化简多项式 (20)
- 多线程的创建方式 (29)
- 多线程 python (30)
- java多线程并发处理 (32)
- 宏程序代码一览表 (35)
- c++需要学多久 (25)
- css class选择器用法 (25)
- css样式引入 (30)
- html5和css3新特性 (19)
- css教程文字移动 (33)
- php简单源码 (36)
- php个人中心源码 (25)
- 网站管理平台php源码 (19)
- php小说爬取源码 (23)
- github好玩的php项目 (18)
- 云电脑app源码 (22)
- js创建txt文件 (18)