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 are using Google’s AI products and tools. The ATLAS v1.0 dataset is built from 15 million aggregated and de-identified human-AI interactions across the Gemini App, AI Mode, and the Gemini API, used by more than 1 billion people monthly. Insights span more than 150 countries, 140 languages, 800 occupations, and 4,000 tasks. Key observations include that workplace adoption spans all industry sectors and 68% of all occupations representing 90% of total U.S. employment, but within jobs, AI is used for only ~21% of tasks. The vast majority of AI interactions at work focus on collaborative uses like ideation and strategy, with less than 10% of those interactions fully automating tasks. Tasks like creative design and hypothesis testing show up in AI work interactions at a much higher rate than in the economy as a whole (65% vs 35%).