“Google 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…

Here a few of the most interesting observations so far:

• AI use at work is broad but shallow: Workplace adoption spans all industry sectors and also 68% of all occupations that collectively represent 90% of total U.S. employment. However within jobs, people are using AI selectively: in a typical job AI is used for only ~21% of tasks.
• At work, most AI use is focused on collaboration and assistance with tasks, and so far task automation is uncommon: ATLAS data shows the vast majority of AI interactions at work focus on collaborative uses such as ideation, strategy, information retrieval, and learning. Tasks like creative design and hypothesis testing (categorized in ATLAS as “non-routine cognitive”) show up in AI work interactions at a much higher rate than in the economy as a whole (65% vs 35%). Less than 10% of those interactions fully automate tasks.
• AI use is not limited to white collar workers, it’s also assisting workers in predominantly physical and manual occupations with adjacent tasks: AI use for work is not limited to jobs traditionally seen as knowledge work. While not as prevalent, workers in manual and technical trades (e.g., auto technicians, industrial mechanics) are using conversational AI as a live collaborator for real-time diagnostics, troubleshooting, and on-the-fly learning. When workers in these areas use our AI tools, they’re 2x more likely to use multimodal AI (i.e. using AI to create images or video). For example, automotive technicians and industrial mechanics use AI to interpret complex test results, debug electrical wiring, and inspect machinery for wear.
• AI is delivering value at home that may be missed in standard economic metrics, particularly around high-friction administrative tasks: Over 86% of interactions with AI tools in ATLAS occur outside of work. People are using AI in new and interesting ways not captured in standard economic metrics including productive household activities (e.g. researching purchases, help with using appliances, and tools) and high-friction administrative tasks (e.g. navigating government services like taxes, licensing, and fines).”

From The Keyword.