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

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. This paper was accepted by Jean-Pierre Dube, marketing. Funding: M. Demirer and T. Salz thank the MIT GenAI Initiative for funding. Supplemental Material: The online appendices and data files are available at https://doi.org/10.1287/mnsc.2025.00535 .

• 저널Management Science
• 토픽Ethics and Social Impacts of AI · Safety Research
• DOI10.1287/mnsc.2025.00535
• 저자Kevin Zheyuan Cui, Mert Demirer, Sonia Jaffe, Leon Musolff, Sida Peng, Tobias Salz