Sophistication in GenAI Use: Field Evidence from a Large Firm
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Abstract (arXiv)
We study how sophistication in generative AI (genAI) use varies among the back-office workforce of a large firm. Using proprietary data, we observe 713,564 employee prompts and their corresponding large language model responses from nearly 4,000 back-office employees across 15 functional areas over eight months in 2025. We document three main findings. First, senior employees exhibit more sophisticated genAI use, consistent with domain expertise complementing genAI capabilities. Second, sophistication varies considerably across functions and is highest in Strategy, Digital Innovation, and Project Management, three groups that share a focus on firmwide strategic initiatives and organizational change. Third, we observe neither improvements in sophistication over time nor lasting improvements following formal AI training, suggesting that sophisticated use can be difficult to change. Together, our study provides measures of and insights into sophisticated genAI use that managers can use to improve outcomes and that researchers can use in future research.
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References · 7
- 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,459
- 2022Self-Consistency Improves Chain of Thought Reasoning in Language Modelscited by 5,708
- 2024The Prompt Report: A Systematic Survey of Prompt Engineering Techniquescited by 121
- 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
- 2025Early Impacts of M365 Copilotcited by 3
- 2026AI in the Enterprise: How People Use M365 Copilot Chatcited by 2
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