ChatGPT is owned by OpenAI, a US company based in San Francisco. Since its October 2025 recapitalization, the business sits in OpenAI Group PBC, a public benefit corporation controlled by the nonprofit OpenAI Foundation, which appoints and removes its board. Microsoft is the largest disclosed outside shareholder, with an approximate 25% interest on an as-converted basis according to its fiscal 2026 annual report (year to 30 June 2026); employees and other investors hold the rest.
Under commitments secured by Delaware's Attorney General on 28 October 2025, the nonprofit retains the sole power to appoint and remove the directors of the PBC, and the PBC's mission is identical to the nonprofit's.
02
Safety sits with the nonprofit
The nonprofit's Safety and Security Committee stays at the nonprofit, not the PBC, and can require mitigations up to and including halting the release of models.
03
Microsoft is the largest disclosed shareholder
Microsoft said that after the recapitalization it held roughly 27 percent of OpenAI Group PBC on an as-converted diluted basis, valued at about $135 billion. Its fiscal 2026 10-K says its proportionate ownership fell during the year because of the recapitalization and other funding activity, and puts the interest at approximately 25% on an as-converted basis.
04
Microsoft is also a partner and supplier
In fiscal 2026 Microsoft recorded $24.1 billion of revenue from commercial arrangements with OpenAI, including revenue-sharing payments, and had funded $11.9 billion of $13.0 billion committed (as of 30 June 2026).
What changed in 2025-26
A public benefit corporation
In October 2025 OpenAI formed a public benefit corporation and completed a recapitalization. Delaware’s Attorney General issued a Statement of No Objection on 28 October 2025, after a review that began on 9 October 2024 and was coordinated with California’s Attorney General.
A new Microsoft deal
The October 2025 agreement extended Microsoft’s IP rights for models and products through 2032, and OpenAI contracted to buy an incremental $250 billion of Azure services. Microsoft gave up its right of first refusal to be OpenAI’s compute provider.
New funding and partners
On 27 February 2026, as OpenAI announced new funding and new partners including Amazon, Microsoft said the terms of its relationship were unchanged and that Azure remained the exclusive cloud for stateless OpenAI APIs.
An amended agreement in April 2026
On 27 April 2026 the two companies said OpenAI can now serve all its products across any cloud provider, Microsoft’s licence to OpenAI IP becomes non-exclusive, and revenue-share payments from OpenAI to Microsoft continue through 2030 at the same percentage, subject to a total cap.
ChatGPT's owners and what each holds
OpenAI Foundation (nonprofit)
What it holdsControl of OpenAI Group PBC
Sourced factSole power to appoint and remove PBC directors (Delaware AG, 28 Oct 2025)
Microsoft
What it holdsEquity stake
Sourced factAbout 27% as-converted diluted after the recapitalization (Oct 2025); about 25% as-converted (30 Jun 2026)
Employees and other investors
What it holdsThe remaining equity
Sourced factCounted among "all owners" in Microsoft's October 2025 statement; individual stakes not disclosed in these filings
Safety and Security Committee
What it holdsA veto on releases
Sourced factCan require mitigations up to halting a model release (Delaware AG, 28 Oct 2025)
What it means for you
Treat ChatGPT as an American product run by a private company: there are no public shares of OpenAI to buy.
If you want listed exposure, note that Microsoft reports OpenAI as an equity-method investment and discloses its gains and losses from it each year.
Read control and economics separately: the nonprofit appoints the board, while Microsoft, staff and investors hold the equity.
If you build on OpenAI models, check which cloud you buy through: since April 2026 OpenAI can serve its products on any cloud provider.
Watch Microsoft's 10-K and 10-Q notes for the latest stake, funding and revenue figures, since OpenAI does not file them.
The Business Engineer lens
ChatGPT’s ownership splits control from economics: a nonprofit holds the board, while Microsoft and investors hold most of the equity. The Business Engineer reads the 2025-26 changes as both sides loosening exclusivity so each can buy and sell compute and models more widely.
OpenAI owns ChatGPT. The business sits in OpenAI Group PBC, which is controlled by the nonprofit OpenAI Foundation; Microsoft holds an approximate 25% interest (as of 30 June 2026).
Which country does ChatGPT belong to?
The United States. OpenAI is based in San Francisco, and its nonprofit is a Delaware corporation incorporated in 2015.
Does Microsoft own ChatGPT?
No. Microsoft is the largest disclosed outside shareholder in OpenAI, with roughly a quarter of the company on an as-converted basis, but the nonprofit controls the board.
Can I buy shares in OpenAI?
Not on a stock exchange: OpenAI is privately held. Microsoft, which is listed, holds an equity-method investment in it.
The complete explainer, cleaned up and reformatted for mobile.
In short
ChatGPT is made by OpenAI, a United States company based in San Francisco. OpenAI is privately held. Its largest disclosed investor is Microsoft, which reports an approximate 25% interest on an as-converted basis. In October 2025 OpenAI formed a public benefit corporation and completed a recapitalization, according to Microsoft’s fiscal 2026 10-K.
Update (10 Oct 2026): the ownership figures at the top of this page now come from Microsoft’s fiscal 2026 Form 10-K. The original article below is kept as it was; where its older figures differ, the dated filing figures above apply.
How we source: figures on this page come from the company’s own filings (SEC 10-K, 10-Q, prospectus and earnings releases, or its annual report), with the period stated next to each number; outside estimates appear only labelled, with their source and date. Last refreshed October 2026. Our methodology.
ChatGPT is a product of OpenAI, which is based in San Francisco, so it belongs to a US company. OpenAI is not listed, so the clearest public evidence on ownership comes from its biggest backer. Microsoft’s fiscal 2026 Form 10-K says it holds an equity-method investment representing an approximate 25% interest on an as-converted basis, that it has funded $11.9 billion of $13.0 billion committed, and that in October 2025 OpenAI formed a public benefit corporation and completed a recapitalization that reduced Microsoft’s proportionate ownership. Microsoft also recorded $24.1 billion of revenue from commercial arrangements with OpenAI in fiscal 2026. See who owns OpenAI.
The Business Engineer view
ChatGPT’s owner is a private company whose largest outside investor is also its biggest commercial partner and cloud supplier. That interlock, not a single owner, is what defines control: Microsoft has economics and distribution, while OpenAI keeps governance through its own structure.
The full story
ChatGPT — as explored in the intelligence factory race between AI labs — is owned by OpenAI, and it was developed as a successor to the GPT models. Indeed, ChatGPT leverages the GPT underlying models (more precisely, the first version of ChatGTP leverages GPT 3.5 series) and a model called InstructGPT.
ChatGPT is owned by OpenAI, a U. S.-based artificial intelligence company founded in 2015. The company is headquartered in San Francisco, California, making the United States the owner country of ChatGPT.
Aspect · Description · Analysis · Examples
Products and Services
Description. ChatGPT provides a range of natural language processing (NLP) and natural language understanding (NLU) services through its API. It offers businesses and developers the ability to integrate ChatGPT into their applications, products, and services. These services may include chatbots, virtual assistants, content generation, language translation, and more.
Analysis. ChatGPT’s core offerings revolve around NLP and NLU services, enabling businesses and developers to enhance their applications with human-like text generation and understanding capabilities. These services have broad applications, from chatbots and virtual assistants to content creation and translation, catering to diverse industries.
Examples. NLP and NLU services, API integration, chatbots, virtual assistants, content generation, language translation, multi-industry applications, developer-friendly capabilities.
Revenue Streams
Description. ChatGPT generates revenue primarily through its API usage fees. Businesses and developers pay for access to ChatGPT’s services based on factors like usage volume, request complexity, and subscription plans. The API-based revenue model allows for scalability and flexibility.
Analysis. The primary revenue stream for ChatGPT is API usage fees. Clients pay for the volume and complexity of API requests they make, and subscription plans may also be available. This model offers scalability, adaptability, and a predictable source of income.
Examples. Revenue from API usage fees, request volume-based pricing, complexity-based pricing, subscription plans, scalable revenue model, predictable income source.
Customer Segments
Description. ChatGPT caters to a diverse range of customer segments, including technology companies, software developers, startups, e-commerce businesses, customer support departments, content creators, researchers, and various industries looking to enhance their digital interactions and content generation processes.
Analysis. ChatGPT’s customer segments span technology companies, software developers, startups, e-commerce businesses seeking better customer interactions, customer support departments enhancing their service with chatbots, content creators simplifying content generation, researchers leveraging NLP capabilities, and many more. The versatility of NLP and NLU services broadens the customer base.
Examples. Technology companies, software developers, startups, e-commerce businesses, customer support departments, content creators, researchers, multi-industry appeal, NLP and NLU versatility.
Distribution Channels
Description. ChatGPT primarily distributes its services through its API, which developers and businesses can access and integrate into their applications and systems. The API documentation and developer resources facilitate seamless integration.
Analysis. The distribution of ChatGPT’s services centers around its API, which is accessible through developer-friendly documentation and resources. This approach simplifies integration for businesses and developers, enabling them to harness NLP and NLU capabilities effectively.
Examples. API distribution, developer-friendly integration, API documentation, resources for developers, effective NLP and NLU integration.
Key Partnerships
Description. ChatGPT collaborates with technology companies, platforms, and developers to expand its reach and integrate its services into various applications and industries. Strategic partnerships can lead to innovative use cases and broaden the user base.
Analysis. Collaborations with technology companies, platforms, and developers are crucial for extending ChatGPT’s reach and enabling seamless integration. Strategic partnerships often result in innovative applications and diversify the user base, fostering growth and adoption.
Examples. Technology company collaborations, platform partnerships, developer engagement, strategic alliances, innovative use case development, user base expansion.
Key Resources
Description. Key resources for ChatGPT include its NLP and NLU capabilities, the API infrastructure, developer documentation, a dedicated team of researchers and engineers, client relationships, and a strong brand reputation as a leader in language models. The quality of NLP and NLU capabilities is central to its value proposition.
Analysis. ChatGPT’s essential assets encompass its state-of-the-art NLP and NLU capabilities, a robust API infrastructure, comprehensive developer documentation, a skilled team of researchers and engineers continually improving the model, client relationships, and a strong brand reputation as a leading language model provider. The model’s quality and reliability are crucial resources.
Examples. NLP and NLU capabilities, API infrastructure, developer documentation, research and engineering team, client relationships, brand reputation, model quality, reliability.
Cost Structure
Description. ChatGPT incurs various costs, including research and development expenses to improve the model, infrastructure maintenance and scaling costs to support the API, employee salaries and benefits, marketing and promotional expenses, and administrative overhead. Ensuring model quality and scalability are substantial investments.
Analysis. Costs associated with ChatGPT’s operations involve ongoing research and development expenditures to enhance the model’s capabilities, infrastructure maintenance and scaling costs to accommodate API usage, employee compensation, marketing efforts to promote the services, and administrative overhead. Investments in model quality and scalability are significant due to high demand.
Examples. Research and development expenses, infrastructure maintenance and scaling costs, employee compensation, marketing expenditures, administrative overhead, model quality and scalability investments, high-demand operational costs.
Competitive Advantage
Description. ChatGPT’s competitive advantage stems from its cutting-edge NLP and NLU capabilities, a user-friendly API, strong developer support, adaptability to various industries, and a reliable track record. The ability to integrate ChatGPT seamlessly into applications and systems sets it apart. Ongoing research and model improvements maintain its position as a leader in the language model space.
Analysis. ChatGPT’s competitive edge is rooted in its advanced NLP and NLU capabilities, a developer-friendly API, robust developer support, adaptability across industries, a trusted track record, and the seamless integration it offers. Continuous research and model enhancements ensure its leadership in the language model sector.
Examples. Cutting-edge NLP and NLU capabilities, user-friendly API, developer support, industry adaptability, integration seamlessness, trusted reputation, research-driven model improvements, language modelleadership.
Connected · ChatGPT
Where to go next on ChatGPT
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OpenAI is an artificial intelligence research laboratory that transitioned into a for-profit organization in 2019.
Started as a research lab in 2015-16, OpenAI transitioned into a “capped” for-profit organization.
The OpenAI LP is in charge of leading monetization efforts of the products that come out from the research lab, while the non-profit leads the board of the LP organization, thus acting as GP.
Among the major partners of OpenAI, there is Microsoft, which put $1 billion in 2019 into an exclusive commercial agreement with OpenAI. This investment was further rolled out in 2022-23, with Microsoft investing a few more billion into this partnership.
OpenAI and Microsoft partnered up from a commercial standpoint. The history of the partnership started in 2016 and consolidated in 2019, with Microsoft investing a billion dollars into the partnership. Microsoft, through OpenAI, is developing its Azure AI Supercomputer while enhancing its Azure Enterprise Platform and integrating OpenAI’s models into its business and consumer products (GitHub, Office, Bing).
While OpenAI can independently release its own products and thus also monetize ChatGPT.
On the other hand, the exclusive commercial agreement with Microsoft gives the latest a chance to integrate OpenAI’s technology within its products quickly.
Thus, launching enhanced versions of its products. Examples comprise the GitGub Co-Pilot (a coding assistant), Bing AI Search, OpenAI APIs integrations within Microsoft Azure, and other integrations within Microsoft’s core products.
Key Takeaways
OpenAI’s Transition: OpenAI began as an AI research lab in 2015-2016. In 2019, it transitioned into a “capped” for-profit organization, comprising OpenAI, Inc., a single-member Delaware LLC controlled by the OpenAI non-profit, and OpenAI LP, a for-profit organization governed by the board of OpenAI, Inc.
Microsoft’s Investment: Microsoft became a major partner of OpenAI, investing $1 billion in 2019 through an exclusive commercial agreement. This investment allowed Microsoft to gain access to OpenAI’s cutting-edge AI technology and models.
Continuing Partnership: The partnership between OpenAI and Microsoft has evolved over the years. In 2022-23, Microsoft further invested billions in the partnership, solidifying their collaboration.
Azure AI Supercomputer: Through the partnership, Microsoft is working with OpenAI to develop the Azure AI Supercomputer, which enhances Microsoft’s Azure Enterprise Platform and AI capabilities.
Integration in Microsoft Products: OpenAI’s technology has been integrated into several Microsoft products. Examples include GitHub Co-Pilot, an AI-powered coding assistant, Bing AI Search, and OpenAI APIs integrated within Microsoft Azure.
Enhancing Microsoft’s Products: Microsoft’s partnership with OpenAI allows them to enhance their existing products by leveraging OpenAI’s advanced AI models and technology.
Monetization of OpenAI Products: While OpenAI can independently release its own products and monetize them, the exclusive commercial agreement with Microsoft provides Microsoft with quick access to integrate OpenAI’s technology into its products.
How AI Is Changing This
AI is fundamentally reshaping OpenAI’s ownership structure and governance model, particularly following the dramatic leadership crisis in November 2023. When the nonprofit board temporarily ousted CEO Sam Altman, it exposed deep tensions between OpenAI’s original nonprofit mission and its for-profit subsidiary that operates ChatGPT. The incident highlighted how AI development has attracted massive investments—Microsoft alone has invested over $10 billion—creating complex stakeholder relationships that challenge traditional ownership models. Following Altman’s reinstatement, OpenAI restructured its board and governance, demonstrating how AI’s commercial success is forcing organizations to balance investor interests, safety concerns, and public benefit missions. This evolution reflects a broader trend where AI companies must navigate between rapid technological advancement, substantial funding requirements, and responsible development practices, ultimately redefining what ownership means in the AI era.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
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