2 Sources
[1]
Google folds more AI teams into DeepMind to 'accelerate the research to developer pipeline' | TechCrunch
As it looks to accelerate the pace of its AI development, Google is further streamlining the teams building its AI services, platforms, and tools. On Thursday, Logan Kilpatrick, who leads product for Google's AI Studio developer platform, said in a post on X that Google's AI Studio team and the
[2]
Google folds more teams into DeepMind to 'accelerate the research to developer pipeline' | TechCrunch
As it looks to accelerate the pace of its AI development, Google is further streamlining the teams building its AI services, platforms, and tools. On Thursday, Logan Kilpatrick, who leads product for Google's AI Studio developer platform, said in a post on X that Google's AI Studio team and the
Share
Copy Link
Google is reorganizing its AI teams by moving more units under DeepMind to streamline development and accelerate the research-to-developer pipeline. This strategic move aims to enhance collaboration and speed up AI innovation.

In a significant move to accelerate its artificial intelligence development, Google is further consolidating its AI teams under the Google DeepMind umbrella. This restructuring aims to streamline the company's AI services, platforms, and tools, marking a crucial step in Google's AI strategy
1
.Logan Kilpatrick, product lead for Google's AI Studio developer platform, announced on X (formerly Twitter) that the AI Studio team and the team responsible for developing the API for Google's Gemini series of models will be integrated into Google DeepMind
1
. This follows a previous reorganization where the team behind the Gemini-powered chatbot was also moved to DeepMind1
.Google DeepMind, formed in 2023 through the merger of Google's DeepMind team and the Google Brain team from Google Research, has been the driving force behind many of Google's recent AI innovations, including the Gemini model series
1
. The consolidation of these additional teams under DeepMind's umbrella is expected to foster deeper collaboration and accelerate the "research to developer pipeline"1
.Jaana Dogan, an engineer on one of the teams transitioning to Google DeepMind, expressed optimism about the move. She suggested that this reorganization would make DeepMind's work more accessible to the public, potentially leading to improved APIs, increased open-source contributions, and the development of more tools
1
.Related Stories
The restructuring reflects Google's broader strategy to maintain its competitive edge in the rapidly evolving AI landscape. In a December all-hands meeting, Google CEO Sundar Pichai acknowledged the company's "strong momentum" with the Gemini chatbot while also recognizing the need to "close the gap" and establish a leadership position in the AI field
1
.Pichai emphasized the urgency of the moment and the need for Google to move faster as a company. He highlighted that scaling Gemini on the consumer side would be a primary focus for 2025, underscoring the high stakes involved in this technological race
1
.This reorganization is part of a series of strategic moves by Google to consolidate its AI efforts. In recent months, the company has also integrated its models, research, and responsible AI teams into DeepMind
1
. These changes are designed to increase the pace of progress in Google's AI development and strengthen its position in the competitive AI market.As Google continues to reshape its AI divisions, the tech industry watches closely to see how these organizational changes will translate into technological advancements and market leadership in the rapidly evolving field of artificial intelligence.
Summarized by
Navi
[1]
18 Oct 2024•Technology

05 Aug 2026•Business and Economy

29 Jul 2026•Business and Economy

1
Technology

2
Policy and Regulation

3
Technology
