Google Just Analyzed 15 Million AI Conversations
Google launched ATLAS, its first large scale study of how people actually use AI, built from 15 million conversations across the Gemini app, AI Mode, and the Gemini API, tools used by over 1 billion people monthly. 68% of occupations use AI, covering 90% of American jobs, but it touches only 21% of tasks within a typical job. Most use is collaboration, not automation, and 86% of AI use happens outside work, helping people handle taxes, licensing, and fines.
Transcript
Google just analyzed fifteen million AI conversations to see how people really use it.
Google launched ATLAS, its first study of real AI use, built from fifteen million conversations.
Those conversations came from tools over one billion people use monthly: the Gemini app, AI Mode, and the Gemini API.
Sixty eight percent of occupations use AI, covering ninety percent of American jobs, but it touches only twenty one percent of tasks.
Most of that use is collaboration, not automation. People lean on AI for ideation, strategy, and research.
Eighty six percent of AI use happens outside work, helping people navigate taxes, licensing, and fines.
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Sources
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- Google launched the first iteration of the AI & Economy ATLAS (Activity, Task, Landscape, and Adoption Study), an ongoing, large scale, de-identified study of how people use Google's AI products. ATLAS v1.0 is built from 15 million aggregated, 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 spans more than 150 countries, 140 languages, 800 occupations, and 4,000 tasks. Workplace adoption spans all industry sectors and 68% of all occupations, representing 90% of total U.S. employment, but within a typical job AI is used for only about 21% of tasks. Most work-related AI use is collaboration and assistance (ideation, strategy, information retrieval, and learning); less than 10% of work interactions fully automate a task. Over 86% of all AI interactions occur outside of work, including household research and high friction administrative tasks like taxes, licensing, and fines. Workers in manual and technical trades, such as auto technicians and industrial mechanics, also use conversational AI as a real time collaborator and are 2x more likely to use multimodal AI. Global AI adoption tracks a country's GDP per capita, with some middle income countries in South America and the Middle East adopting at rates comparable to higher income countries. English represents only about a third of global AI conversations.(Understanding the AI economy - Google Blog (first-party article))