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Four people familiar with the negotiations revealed that tech giant Google has been in discussions with the San Francisco startup Mechanize in recent weeks, and the potential deal will involve Google recruiting some of Mechanize's talents. According to some people familiar with the matter, the deal is valued at more than $1.5 billion, negotiations are still underway, and details may have changed. A person familiar with the matter said that as part of the deal, Google is negotiating a non-exclusive licensing agreement for Mechanize technology. The source added that Google's talent from Mechanize will work on model evaluation and development. The negotiations reflect two major realities under the AI boom: code development has become one of the most important and profitable application scenarios for artificial intelligence; major tech giants are taking different approaches to obtain the talent and technology needed to maintain competitiveness. This isn't the first time Google has used workarounds to acquire talent and technology. Over the past two years, Google has repeatedly used a hybrid transaction model to complete acquisitions, absorb teams through talent acquisition, and obtain technology through licensing and other methods. Companies adopt such practices, sometimes to evade antitrust scrutiny brought about by full acquisitions.

Zhitongcaijing·08/05/2026 12:25:10
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Four people familiar with the negotiations revealed that tech giant Google has been in discussions with the San Francisco startup Mechanize in recent weeks, and the potential deal will involve Google recruiting some of Mechanize's talents. According to some people familiar with the matter, the deal is valued at more than $1.5 billion, negotiations are still underway, and details may have changed. A person familiar with the matter said that as part of the deal, Google is negotiating a non-exclusive licensing agreement for Mechanize technology. The source added that Google's talent from Mechanize will work on model evaluation and development. The negotiations reflect two major realities under the AI boom: code development has become one of the most important and profitable application scenarios for artificial intelligence; major tech giants are taking different approaches to obtain the talent and technology needed to maintain competitiveness. This isn't the first time Google has used workarounds to acquire talent and technology. Over the past two years, Google has repeatedly used a hybrid transaction model to complete acquisitions, absorb teams through talent acquisition, and obtain technology through licensing and other methods. Companies adopt such practices, sometimes to evade antitrust scrutiny brought about by full acquisitions.