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You are at:Home»Business»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

Buddy DoyleBy Buddy DoyleJuly 23, 2026No Comments2 Mins Read
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Google launches global study of millions of AI chats to understand how people use artificial intelligence
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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.

Read the full article here

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