Google has successfully brought on key talent and secured licensing rights from AI coding startup Windsurf for approximately $2.4 billion. This strategic move follows the collapse of a previously reported $3 billion acquisition deal between Windsurf and OpenAI. The agreement allows Google to bolster its artificial intelligence capabilities, particularly within its DeepMind unit, by integrating Windsurf's leadership and technology.
OpenAI's proposed $3 billion acquisition of Windsurf reportedly faltered due to disagreements over intellectual property access with its major investor, Microsoft. Microsoft's existing agreement with OpenAI grants it access to OpenAI's technology, including any acquired assets, a condition Windsurf leaders were reportedly hesitant to accept given Microsoft's competing AI coding product, Copilot. The expiration of an exclusivity period between OpenAI and Windsurf subsequently opened the door for other bids.
Rather than a full acquisition, Google's agreement involves hiring Windsurf CEO Varun Mohan, co-founder Douglas Chen, and several R&D employees to join Google DeepMind. Google will also obtain a non-exclusive license to Windsurf's technology for $2.4 billion. As stated in a tweet by Balaji, this mechanism of "> buy the assets rather than the company" is a new approach designed to avoid "bogus 'antitrust' objections."
Windsurf will continue to operate independently, with Jeff Wang taking over as interim CEO, and the majority of its 250 employees remaining with the company. This deal exemplifies a growing trend among major tech companies to pursue "acquihire" strategies, focusing on talent and licensing agreements. Such arrangements allow tech giants to acquire valuable AI expertise and technology while potentially sidestepping the rigorous regulatory scrutiny typically associated with outright corporate acquisitions.
The tweet highlighted that "> Investors still get paid and employees still get an exit," which is evident in the $2.4 billion licensing fee providing liquidity to Windsurf's investors. This approach facilitates a significant talent infusion into Google's AI efforts, specifically for agentic coding initiatives within the Gemini project. It also underscores the intense competition for top AI expertise in the rapidly evolving technology landscape.