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Google’s AI & Economy ATLAS v1.0: Mapping Gemini Usage in the Economy

Fabien Curto Millet, Zanna Iscenko, Scott Strand, et al. Google
Date Posted:
July 27, 2026

Google’s new AI & Economy ATLAS maps 15M AI interactions to occupations, tasks, and activities, showing AI use is pervasive but not intensive, collaborative more than autonomous, and used mostly at home, suggesting GDP accounting understates its value.

AI has diffused very broadly in both work and life. Adoption in the workplace spans over 68% of all occupations that collectively represent just above 88% of total US employment, including both much-discussed occupations such as software developers and market researchers, and those less-discussed such as farmers, industrial engineers, and foresters. Though broadly used at work, the overall depth of AI’s use is shallow. ATLAS data shows that AI is used for only 21% of total tasks in the median occupation with any AI use. Only 3% of occupations showed AI usage for over 75% of their tasks. While there is some task automation, the vast majority of use so far is collaborative and assistive to tasks and work. ATLAS points to a complex relationship between AI usage and expertise. When classified according to expertise levels, tasks requiring lower-to-middle levels of expertise tend to see relatively higher AI usage than the highest expertise level tasks, despite ATLAS data also suggesting high-earning workers—and therefore those with more scarce skills and expertise—adopt AI at the highest rates. AI is delivering real utility at home that standard economic metrics may miss. Over 86% of interactions with conversational AI happen outside of work, and humans’ daily time allocation strongly and positively predicts where people direct their AI questions.

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