Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations

Fuente: arXiv
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Autores principales: Handa, Kunal, Tamkin, Alex, McCain, Miles, Huang, Saffron, Durmus, Esin, Heck, Sarah, Mueller, Jared, Hong, Jerry, Ritchie, Stuart, Belonax, Tim, Troy, Kevin K., Amodei, Dario, Kaplan, Jared, Clark, Jack, Ganguli, Deep
Formato: Preprint
Publicado: 2025
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author Handa, Kunal
Tamkin, Alex
McCain, Miles
Huang, Saffron
Durmus, Esin
Heck, Sarah
Mueller, Jared
Hong, Jerry
Ritchie, Stuart
Belonax, Tim
Troy, Kevin K.
Amodei, Dario
Kaplan, Jared
Clark, Jack
Ganguli, Deep
author_facet Handa, Kunal
Tamkin, Alex
McCain, Miles
Huang, Saffron
Durmus, Esin
Heck, Sarah
Mueller, Jared
Hong, Jerry
Ritchie, Stuart
Belonax, Tim
Troy, Kevin K.
Amodei, Dario
Kaplan, Jared
Clark, Jack
Ganguli, Deep
contents Despite widespread speculation about artificial intelligence's impact on the future of work, we lack systematic empirical evidence about how these systems are actually being used for different tasks. Here, we present a novel framework for measuring AI usage patterns across the economy. We leverage a recent privacy-preserving system to analyze over four million Claude.ai conversations through the lens of tasks and occupations in the U.S. Department of Labor's O*NET Database. Our analysis reveals that AI usage primarily concentrates in software development and writing tasks, which together account for nearly half of all total usage. However, usage of AI extends more broadly across the economy, with approximately 36% of occupations using AI for at least a quarter of their associated tasks. We also analyze how AI is being used for tasks, finding 57% of usage suggests augmentation of human capabilities (e.g., learning or iterating on an output) while 43% suggests automation (e.g., fulfilling a request with minimal human involvement). While our data and methods face important limitations and only paint a picture of AI usage on a single platform, they provide an automated, granular approach for tracking AI's evolving role in the economy and identifying leading indicators of future impact as these technologies continue to advance.
format Preprint
id arxiv_https___arxiv_org_abs_2503_04761
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations
Handa, Kunal
Tamkin, Alex
McCain, Miles
Huang, Saffron
Durmus, Esin
Heck, Sarah
Mueller, Jared
Hong, Jerry
Ritchie, Stuart
Belonax, Tim
Troy, Kevin K.
Amodei, Dario
Kaplan, Jared
Clark, Jack
Ganguli, Deep
Computers and Society
Artificial Intelligence
Computation and Language
Human-Computer Interaction
Machine Learning
Despite widespread speculation about artificial intelligence's impact on the future of work, we lack systematic empirical evidence about how these systems are actually being used for different tasks. Here, we present a novel framework for measuring AI usage patterns across the economy. We leverage a recent privacy-preserving system to analyze over four million Claude.ai conversations through the lens of tasks and occupations in the U.S. Department of Labor's O*NET Database. Our analysis reveals that AI usage primarily concentrates in software development and writing tasks, which together account for nearly half of all total usage. However, usage of AI extends more broadly across the economy, with approximately 36% of occupations using AI for at least a quarter of their associated tasks. We also analyze how AI is being used for tasks, finding 57% of usage suggests augmentation of human capabilities (e.g., learning or iterating on an output) while 43% suggests automation (e.g., fulfilling a request with minimal human involvement). While our data and methods face important limitations and only paint a picture of AI usage on a single platform, they provide an automated, granular approach for tracking AI's evolving role in the economy and identifying leading indicators of future impact as these technologies continue to advance.
title Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations
topic Computers and Society
Artificial Intelligence
Computation and Language
Human-Computer Interaction
Machine Learning
url https://arxiv.org/abs/2503.04761