Google has launched the first iteration of the AI & Economy ATLAS (Activity, Task, Landscape, and Adoption Study). This ongoing, large-scale study aims to provide empirical insights into how AI is being adopted and used in the economy.
The ATLAS initiative is designed to offer evidence-based research to inform decisions regarding AI's impact on work, people's lives, and the broader economy.
The initial dataset, ATLAS v1.0, is built from 15 million aggregated and de-identified human-AI interactions. These interactions originate from the Gemini App, AI Mode, and the Gemini API, which collectively serve over 1 billion monthly users.
ATLAS v1.0 insights cover more than 150 countries, 140 languages, 800 occupations, and 4,000 tasks, making it a comprehensive look at real-world AI usage at scale.
Early observations from ATLAS v1.0 indicate that AI use at work is broad but often shallow. Workplace adoption spans all industry sectors and 68% of occupations, representing 90% of total U.S. employment. However, within jobs, AI is typically used for only about 21% of tasks.
The data also shows that most AI interactions at work focus on collaborative uses such as ideation, strategy, information retrieval, and learning. Task automation is uncommon, accounting for less than 10% of interactions. Non-routine cognitive tasks, like creative design and hypothesis testing, show a higher rate of AI interaction in work contexts (65%) compared to the economy as a whole (35%).
ATLAS provides an early view into the rapidly evolving landscape of AI capabilities and usage. The study aims to shed light on how people are integrating Google's AI tools into their professional and daily lives.
This research is intended to contribute to a better understanding of AI's economic implications, offering data to guide societal efforts in shaping AI's positive impact.
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Google introduced the AI & Economy ATLAS (Activity, Task, Landscape, and Adoption Study), a large-scale, de-identified study analyzing how people use Google's AI products. The initial ATLAS v1.0 dataset, derived from 15 million human-AI interactions across Gemini App, AI Mode, and Gemini API, provides insights into AI's economic impact and current usage patterns. This study offers empirical data on AI adoption across various occupations and tasks, informing understanding of AI's role in the economy.