OpenAI did not ultimately buy either Cursor or Windsurf. The reported sequence was more complicated: OpenAI first approached Anysphere, Cursor’s parent, but Cursor was growing so quickly and raising money at such a high potential valuation that an acquisition appeared difficult. OpenAI then pursued Windsurf, an AI coding company with a strong enterprise focus, in a reported deal worth about $3 billion. That transaction later collapsed amid reported disagreements involving Microsoft’s contractual rights, while Google hired key Windsurf personnel and Cognition acquired the remaining business.
The episode was not a simple product decision in which OpenAI decided Windsurf was better than Cursor. It was an acquisition-strategy story involving valuation, willingness to sell, enterprise distribution, model access, partnership contracts and talent.
The short answer: Cursor was attractive, but Windsurf looked available
OpenAI reportedly wanted Cursor because an AI-native coding environment could give it something a foundation-model company cannot obtain from models alone: a daily distribution channel inside developers’ workflows.
Cursor put AI directly into the editor where software engineers read files, modify code, run commands, review changes and work with repositories. That product layer could help OpenAI monetize its models, gather feedback from real engineering tasks and build relationships with enterprise development teams.
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But Cursor’s success weakened the case for selling. TechCrunch reported that Cursor’s parent, Anysphere, was discussing financing at an approximately $10 billion valuation and that Cursor had reached roughly $300 million in annual recurring revenue by April 2025. Those were private-company estimates and financing discussions, not audited results or a completed valuation. TechCrunch reported that the company’s revenue was growing extraordinarily quickly.
Windsurf appeared to be a more attainable target. Reporting portrayed it as particularly focused on enterprise customers, legacy systems and organizational deployment. It offered OpenAI a mature coding product and enterprise relationships without necessarily requiring the price or concessions that a purchase of Cursor might have demanded.
That strategy also failed. OpenAI’s proposed Windsurf acquisition did not close.
Why AI coding tools mattered strategically to OpenAI
The value of a coding company was not simply that it could generate code. The strategic asset was the complete workflow around coding:
- Distribution: An editor or coding agent can place AI in front of developers every day.
- Context: The tool can work with repositories, files, terminals, tests, pull requests and project history.
- Agent expertise: The company has product knowledge about breaking down software tasks, editing multiple files and checking results.
- Enterprise access: It may already have relationships with organizations that need security, administration and deployment controls.
- Recurring revenue: A coding application can turn model capabilities into subscriptions or enterprise contracts.
OpenAI had developed coding products, including Codex and Codex CLI, but acquiring an established application could have accelerated adoption. Instead of building a developer audience from scratch, OpenAI could have bought a product already embedded in software teams.
OpenAI has not publicly established every motive behind its reported acquisition discussions. The explanation above is therefore a strategic inference from the products and the reported behavior, not a statement of OpenAI’s internal decision-making.
Why Cursor was the obvious target
Cursor had several qualities that made it strategically valuable:
- Strong developer mindshare.
- A polished editor based on the familiar VS Code model.
- Direct use by individual developers and teams.
- AI-assisted editing and more agentic coding workflows.
- The ability to work with models from more than one provider.
- Rapid reported revenue growth and an active fundraising market.
OpenAI may have been interested in Cursor less for a proprietary foundation model than for its application layer. Cursor’s product translated models into a developer experience: selecting relevant code, proposing changes, coordinating tasks and keeping the user inside an editor.
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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchThat distinction was especially important because Cursor itself used models from outside OpenAI, including models from Anthropic and Google. An acquisition could have allowed OpenAI to supply the models while controlling the interface through which professional developers used them.
Why Cursor was difficult to acquire
It had little obvious reason to sell
A startup with reported revenue near $300 million, exceptional growth and strong developer adoption can choose to raise capital rather than exit. TechCrunch reported that Anysphere was discussing a financing round at around a $10 billion valuation. That gave the company a credible alternative to an acquisition offer.
In practical terms, OpenAI would have had to offer enough money to compensate Anysphere’s founders, employees and investors for giving up a potentially much larger independent future. The fact that a valuation was reportedly being discussed does not prove that Anysphere was worth that amount or that a financing round closed. It does show why the company may have had substantial negotiating leverage.
The price may not have justified the strategic benefit
OpenAI could have faced several choices:
- Pay a large premium for the most visible target.
- Continue building its own coding application.
- Buy a fast-growing competitor at a lower apparent price.
- Partner with or license an existing developer tool.
The available reporting does not establish a specific price that Cursor demanded, so it would be misleading to say OpenAI rejected a known dollar figure. The defensible conclusion is narrower: Cursor’s growth and reported fundraising prospects made it a difficult and potentially expensive acquisition.
Independence had product value
Cursor’s model flexibility may also have made its independence useful to customers. Developers who wanted to use Claude, Gemini or another model could view a model-agnostic editor as more attractive than a tool controlled by one model provider. That may have complicated an OpenAI acquisition, although there is no confirmed public evidence that this was Anysphere’s reason for declining discussions.
Why Windsurf looked like the practical alternative
Windsurf was also an AI-native development environment, but reporting emphasized a different commercial profile. It was associated with enterprise deployment, legacy systems and organizational workflows.
That positioning mattered because large companies often need more than a good demo. They may require administrative controls, security reviews, support, procurement processes and tools that can operate across older systems. Cursor also served teams and businesses; the distinction is not that Cursor lacked enterprise capability. Rather, Windsurf was reported as particularly oriented toward enterprise use cases.
Windsurf therefore appeared to combine several qualities OpenAI could want:
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- Enterprise customers and sales infrastructure.
- Experience working with legacy software environments.
- Fast growth.
- A greater apparent willingness or ability to be acquired.
This is the central distinction between strategic attractiveness and transactional availability. Cursor may have been the more prominent target, but Windsurf looked more purchasable.
| Factor | Cursor | Windsurf |
|---|---|---|
| Reported financial position | Approximately $300 million ARR reported in April 2025 | Approximately $82 million ARR later disclosed by Cognition |
| Fundraising or deal signal | Reportedly discussing a valuation around $10 billion | Reported target for an acquisition of about $3 billion |
| Market emphasis | Strong developer mindshare and editor experience | Enterprise deployment and legacy-system workflows |
| Transaction position | Appeared able to remain independent and raise capital | Appeared to be a more attainable acquisition target |
Cursor’s financial figures were reported private-company estimates. Windsurf’s figures were disclosed by Cognition after its acquisition, so they should be treated as company-provided rather than independently audited comparisons. The numbers also do not provide a clean, apples-to-apples measure of growth.
The reported $3 billion Windsurf agreement
On April 17, 2025, reports said OpenAI was in advanced discussions to acquire Windsurf for more than $3 billion. On May 6, Bloomberg reported that the parties had reached an agreement at approximately $3 billion, subject to closing conditions.
The transaction would have been OpenAI’s largest acquisition at the time. Strategically, it made sense: OpenAI could have obtained a coding application, enterprise distribution, product expertise and technical talent in one transaction.
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However, an agreement to acquire a company is not the same as a completed acquisition. The reported transaction never closed.
Why the OpenAI-Windsurf deal fell apart
Microsoft’s reported contractual rights became a problem
The strongest reported explanation involves OpenAI’s relationship with Microsoft. Microsoft is a major OpenAI investor and strategic partner, and the companies have contractual arrangements concerning OpenAI technology and intellectual property.
People familiar with the matter reportedly said the parties disagreed about whether Microsoft’s rights would extend to Windsurf-related technology or intellectual property. That question became an obstacle to the transaction. Axios and TechCrunch reported on the dispute and the broader strain in the Microsoft-OpenAI relationship.
The precise terms of the relevant agreements and their legal interpretation have not been publicly established in full. The Microsoft issue should therefore be described as a reported contractual conflict, not as a publicly documented legal finding.
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The delay changed the economics
The longer the transaction took, the more exposed it became to changes in the business and the competitive market. In fast-moving AI, a deal can lose value if key employees leave, a model supplier changes its terms or another buyer offers a different structure.
Reporting said the offer or agreement expired or fell apart in July 2025. By then, Windsurf’s leadership and research staff had become targets for Google.
Model-provider dependence created additional risk
AI coding companies frequently rely on outside model providers. A product may offer a strong user experience while depending on another company for the models that power it.
TechCrunch reported that Anthropic cut Windsurf’s direct access to Claude amid reports that OpenAI was close to acquiring the company. That illustrates a structural risk for application companies: a model supplier can change access, pricing or terms, potentially affecting the target’s product and customers.
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For an acquirer, this creates a difficult trade-off. Buying an application can secure its interface and customer relationships, but it does not necessarily guarantee continued access to every model the application previously offered.
Google did not buy all of Windsurf
When the OpenAI transaction failed, Google DeepMind hired key Windsurf personnel, including CEO Varun Mohan, co-founder Douglas Chen and senior research staff. The transaction was reported at approximately $2.4 billion and included a non-exclusive license to some Windsurf technology.
This was not a conventional acquisition of the entire company. It was closer to a talent-plus-technology transaction, sometimes described as a reverse acquihire: the buyer obtains important people and licenses technology while the original operating business remains separate.
The distinction matters financially and strategically. A company’s value can be divided among its founders, researchers, software, intellectual property, customers, brand and revenue. Those assets do not always move together.
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On July 14, 2025, Cognition, the company behind the Devin AI software-engineering agent, announced an agreement to acquire Windsurf’s remaining business and technology. Cognition said the deal included Windsurf’s IDE, intellectual property, trademark, brand, operating business, enterprise customers and remaining personnel. Cognition said Windsurf had approximately $82 million in ARR, more than 350 enterprise customers and hundreds of thousands of daily active users.
Those are Cognition’s own disclosed figures, not independently audited metrics. They nevertheless help explain why the remaining Windsurf assets were valuable even after leadership and research personnel moved to Google.
The final outcome was therefore split:
- OpenAI: Did not acquire Windsurf.
- Google: Hired key leaders and researchers and licensed technology.
- Cognition: Acquired the remaining product, business, brand, IP, customers and staff.
What the episode says about AI coding economics
The application layer became strategic
Model companies were no longer competing only to produce better models. They were also competing to control valuable applications through which users consumed those models.
An editor or coding agent can create switching costs, collect workflow knowledge and become part of an organization’s software-development process. That can be strategically valuable even when the product depends on models supplied by competitors.
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Distribution can matter as much as model quality
A powerful model still needs a route to users. Cursor and Windsurf provided that route by placing AI in the development environment. For OpenAI, acquiring such a product could have helped convert model capability into recurring application revenue and enterprise adoption.
Model suppliers can also be competitors
The Windsurf episode exposed a tension in the AI software market. Coding applications benefit from offering several models, while model companies have an incentive to promote their own systems and control distribution.
An application that depends on multiple model suppliers can be attractive to customers but vulnerable to supplier decisions. An acquisition by one model provider can also make other providers less willing to supply it.
Partnership contracts can limit strategic freedom
OpenAI’s reported difficulty with Microsoft shows that an acquisition is not evaluated in isolation. Existing investment, licensing and distribution agreements can affect what a buyer is allowed to own, share or commercialize.
For investors and founders, this is a reminder that contractual rights can have an economic value comparable to the headline purchase price. For enterprise customers, it is a reminder to examine portability and supplier dependence before making a coding platform central to the development process.
What developers and businesses should take from it
The ownership changes do not by themselves determine which product is best for a particular team. Buyers should evaluate the tools on current facts rather than on the 2025 transaction headlines.
- Check model choice. Determine whether the product is tied to one provider or allows multiple models.
- Review usage limits. Understand message caps, token limits, agent quotas and metered charges.
- Examine data policies. Confirm retention, training use, third-party processing and repository controls.
- Assess enterprise administration. Look for SSO, role-based controls, audit logs, support and deployment options.
- Measure workflow depth. Distinguish autocomplete and chat from multi-file edits, terminal operations, testing and pull-request work.
- Evaluate portability. Ask how easily a team can change models or export its workflows if pricing or access changes.
- Investigate vendor continuity. This is especially relevant for Windsurf after its 2025 separation of leadership, technology and operating business.
Cursor may appeal to teams prioritizing editor experience and developer adoption. Windsurf and Cognition may appeal to organizations evaluating more agentic or enterprise-oriented workflows. GitHub Copilot can be a natural fit for organizations already standardized on GitHub and Microsoft. OpenAI’s Codex products may suit customers that prioritize direct integration with OpenAI models. These are general fit considerations, not a recommendation to buy any particular product.
Pricing, plan names, usage limits and enterprise terms change frequently. Prospective buyers should verify the current terms directly from the relevant vendor before signing a contract.
The real answer to the Cursor-versus-Windsurf question
OpenAI’s reported move from Cursor to Windsurf was not a clean judgment that Windsurf was the superior product.
Cursor was strategically attractive because it had developer mindshare, rapid reported growth, a strong product and the ability to raise money independently. Those same qualities made it difficult to buy.
Windsurf appeared to offer a more attainable combination of enterprise positioning, legacy-system expertise, product capability and talent. But OpenAI’s proposed purchase encountered reported Microsoft-related contractual obstacles, and the company’s leadership, researchers and model access changed before the transaction could close.
The final winner was not OpenAI. Google obtained key Windsurf talent and a technology license, while Cognition acquired the remaining Windsurf business. The episode became a case study in how AI startups can be split into separate assets—and in why the most strategically desirable company is not always the one a buyer can acquire.
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