Google study finds broad AI use, but little evidence of job automation
An analysis of nearly 15 million Gemini interactions found people are mostly using AI to collaborate, research and learn
A Google study analyzing nearly 15 million Gemini interactions found that AI use is widespread across a broad range of occupations, touching 70% of jobs and representing 90% of U.S. employment. However, AI is primarily used as a collaborator for tasks like research, drafting, and troubleshooting, rather than automating entire jobs, with workers using it for only about 21% of their tasks. The study also noted higher AI adoption among workers in higher-paid jobs and wealthier regions, while blue-collar and consumer use, particularly with multimodal AI, exceeded expectations.
- AI use is broad, touching 70% of jobs which represent 90% of U.S. employment, according to a Google study of Gemini interactions.
- Workers primarily use AI as a collaborator for research, drafting, iteration, troubleshooting, and learning, not for delegating entire jobs.
- AI use is shallow, with the average worker using it for only 21% of tasks, and less than 10% of interactions aimed at automating non-routine cognitive work.
- The study analyzed 14.65 million de-identified interactions with Gemini across its app, AI Mode search, and API over two weeks in April.
- Workers in higher-paid jobs and wealthier geographies tend to use AI more.
- Blue-collar workers are using AI, particularly multimodal AI involving images and video, for tasks like seeking diagrams and maps.
- Non-work consumer use accounted for 86% of Gemini conversations, with users employing it for everyday tasks, government services, and processes.
- The study did not include data from business-focused tools like Gemini Enterprise and Google Workspace, which could show higher automation levels.
Continue reading https://www.axios.com/2026/07/23/google-ai-adoption-work-atlas
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