How Organizations Use AI: Evidence from ChatGPT
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Abstract (arXiv)
We study how organizations use frontier generative AI by linking ChatGPT Enterprise account records to usage, worker roles, task classifications, and public-company financial data through March 2026. These linked data enable a privacy-preserving analysis of adoption, worker roles, and message-level tasks at scale: for instance, the worker-level sample we analyze at the six-month adoption horizon includes over 1,500 organizations and over 17 million messages. We document four facts about enterprise AI adoption and use. First, ChatGPT Enterprise usage has grown rapidly due to a combination of new firm adoption and growing intensity among existing adopters. Second, U.S.-based public company adoption is concentrated among larger, more valuable, and more R&D- and SG&A-intensive firms. Third, active use within adopting firms spans job functions and seniority levels, with especially high usage intensity among early-career workers. Fourth, ChatGPT Enterprise usage encompasses a broad range of knowledge work tasks, including writing, technical work, communication, and information synthesis. In aggregate, these results suggest that firms differ widely in the speed, breadth and purpose of their enterprise AI adoption, and that they are still actively learning how to integrate AI into organizational workflows.
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References · 5
- 2025GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Taskscited by 158
- 2025Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversationscited by 96
- 2025Working with AI: Measuring the Applicability of Generative AI to Occupationscited by 19
- 2025Demand for LLMs: Descriptive Evidence on Substitution, Market Expansion, and Multihomingcited by 3
- 2026AI in the Enterprise: How People Use M365 Copilot Chatcited by 2
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