Google is continuing to reorganize the groups behind its AI services, platforms, and tools, with more developer-facing teams moving into Google DeepMind.
The latest change brings the AI Studio team and the team developing the API for Google’s Gemini series of models under the same AI R&D division that already sits behind many of the company’s recent AI product efforts.
What Google Is Moving
On Thursday, Logan Kilpatrick, who leads product for Google’s AI Studio developer platform, said in a post on X that two teams are moving under Google DeepMind: the Google AI Studio team and the team developing the API for the Gemini series of models.
Google DeepMind was formed in 2023 through a merger of Google’s DeepMind team and the Google Brain team from Google Research. It is the AI R&D division behind many of Google’s more recent AI product innovations, including Gemini.
Kilpatrick framed the move as a way to tighten the connection between research and developer products. In his post, he wrote: "This move will allow us to double down on our already deep collaboration and accelerate the research to developer pipeline." He also said: "The mission for our team stays the same."
That message matters because AI Studio and the Gemini API are not just internal research efforts. They are part of the way developers interact with Google’s AI models, test capabilities, and build tools around Gemini.
Why DeepMind Is Becoming More Central
The reorganization places more of Google’s AI work inside Google DeepMind, the division already connected to Gemini and other recent AI product innovations. Based on the source, the company is trying to streamline the teams responsible for AI services, platforms, and tools as it looks to accelerate development.
The move also follows other changes. Google previously moved the team behind its Gemini-powered chatbot, also called Gemini, to DeepMind. At that time, Google CEO Sundar Pichai said the reorganization was intended to "keep increasing the pace of progress" of Google’s AI development.
Google has also moved its models, research, and responsible AI teams to DeepMind in recent months. Taken together, these shifts point to a company structure in which DeepMind is not only a research center, but also a closer partner to the teams turning AI research into public products and developer tools.
What Developers May See Next
Jaana Dogan, an engineer on one of the teams moving to Google DeepMind, said in a post on X that the reshuffling will help make DeepMind’s work "publicly available in ways that [weren’t] possible before."
She also pointed to the kinds of outputs developers may care about most: "Better APIs, more open source, more tools, you name it … it is just the very small percentage of what’s coming next," she wrote.
The source does not give a product roadmap, release schedule, or list of specific developer features. But the stated direction is clear: Google wants the path from DeepMind research to developer-facing products to be faster and more direct.
For developers, the important areas to watch are the tools already named in the move:
- Google AI Studio, the developer platform led by Logan Kilpatrick.
- The Gemini API, which is tied to Google’s Gemini series of models.
- Open source and tooling, which Dogan specifically mentioned as areas where more may be coming.
The Broader Gemini Push
The reorganization lands as Google continues to focus heavily on Gemini. In audio from a December Google all-hands meeting obtained by CNBC, Pichai described the Gemini chatbot as having "strong momentum," while also saying: "we have some work to do in 2025 to close the gap and establish a leadership position there as well."
Pichai reportedly said: "Scaling Gemini on the consumer side will be our biggest focus [in 2025]." He also added: “I think it’s really important we internalize the urgency of this moment, and [the] need to move faster as a company. The stakes are high."
Those remarks show that Google is looking at Gemini from more than one direction. On the consumer side, the company is focused on scaling the Gemini chatbot. On the developer side, it is moving AI Studio and the Gemini API team closer to DeepMind, where much of the underlying AI research and model work is concentrated.
The common thread is speed. Google’s latest AI reorganization is meant to reduce distance between research, models, tools, and the developers who build on top of them. The company has not yet provided more detail beyond the posts and previously reported remarks, and TechCrunch said it reached out to Google for more information.