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Home » Google launches global study of millions of AI chats to understand how people use artificial intelligence
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Google launches global study of millions of AI chats to understand how people use artificial intelligence

staffstaffJuly 23, 20260 ViewsNo Comments
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Google launches global study of millions of AI chats to understand how people use artificial intelligence

As artificial intelligence use proliferates, Google, which is behind the Gemini AI platform, has announced an effort to examine how their products are being utilized.

Google asserted that “we as a society must work together to positively shape how AI impacts our lives, jobs, and economy. In order for this shared work to be effective, it is critical to have a rich understanding of how AI is being adopted and used in the economy. Society needs empirical insights and evidence-based research to inform decisions, initiatives, and actions.”

The company said that it “is launching the first iteration of the AI & Economy ATLAS (Activity, Task, Landscape, and Adoption Study), an ongoing, large-scale, de-identified study of how people are using Google’s AI products and tools.”

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The Big Tech behemoth indicated that it is using interactions with its AI for the analysis.

“ATLAS’s first dataset (v1.0) is built from 15 million aggregated and de-identified human-AI interactions across the Gemini App, AI Mode, and the Gemini API, which together are used by more than 1 billion people monthly. ATLAS v1.0 insights span more than 150 countries, 140 languages, 800 occupations, and 4,000 tasks; ATLAS is the most comprehensive look to date at how real people are using AI at scale,” Google noted.

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Google Midlothian Data Center

Part of a lengthy report on the analysis states that “we observe most conversational AI usage happens at home: over 86% of conversations occur outside formal work.”

“In the workplace, we show that while AI adoption spans occupations covering just above 88% of US employment, penetration remains shallow and overwhelmingly collaborative in nature, with end-to-end task automation limited in scope,” the report’s abstract states.

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“English accounts for only about a third of global conversations, and users do not show signs of systematically abandoning their native languages for complex professional tasks, as work and non-work activities show nearly identical language distributions,” the executive summary of the report notes.

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