The Effects of Generative AI on High-Skilled Work: Evidence from Three Field Experiments with Software Developers

• 成果类型: Article; Early Access
• 署名作者: Cui, Kevin Zheyuan; Demirer, Mert; Jaffe, Sonia; Musolff, Leon; Peng, Sida; Salz, Tobias
• 署名单位: Princeton University; Massachusetts Institute of Technology (MIT); Microsoft; University of Pennsylvania
• 刊物名称: MANAGEMENT SCIENCE
• ISSN/ISSBN: 0025-1909
• DOI: 10.1287/mnsc.2025.00535
• 发表日期: 2026
• 关键词: Artificial intelligence; computers-computer science; software; organizational studies; PRODUCTIVITY

摘要

This study evaluates the effect of generative artificial intelligence (AI) on software developer productivity via randomized controlled trials at Microsoft, Accenture, and an anonymous Fortune 100 company. These field experiments, run by the companies as part of their ordinary course of business, provided a random subset of developers with access to an AI-based coding assistant suggesting intelligent code completions. Although each experiment is noisy and results vary across experiments, when data are combined across three experiments and 4,867 developers, our analysis reveals a 26.08% increase (standard error: 10.3%) in completed tasks among developers using the AI tool. Notably, less experienced developers had higher adoption rates and greater productivity gains.