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

28 Pages Posted: 5 Sep 2024 Last revised: 10 Feb 2025

See all articles by Zheyuan (Kevin) Cui

Zheyuan (Kevin) Cui

Princeton University - Bendheim Center for Finance

Mert Demirer

Massachusetts Institute of Technology (MIT)

Sonia Jaffe

Microsoft Research

Leon Musolff

University of Pennsylvania - Business & Public Policy Department

Sida Peng

Microsoft Corporation

Tobias Salz

Massachusetts Institute of Technology (MIT); National Bureau of Economic Research (NBER)

Date Written: February 10, 2025

Abstract

This study evaluates the impact of generative 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. Though each experiment is noisy, when data is combined across three experiments and 4,867 developers, our analysis reveals a 26.08% increase (SE: 10.3%) in completed tasks among developers using the AI tool. Notably, less experienced developers had higher adoption rates and greater productivity gains.

JEL Classification: J24, O32, O33

Suggested Citation

Cui, Zheyuan and Demirer, Mert and Jaffe, Sonia and Musolff, Leon and Peng, Sida and Salz, Tobias, The Effects of Generative AI on High-Skilled Work: Evidence from Three Field Experiments with Software Developers (February 10, 2025). Available at SSRN: https://ssrn.com/abstract=4945566 or http://dx.doi.org/10.2139/ssrn.4945566

Zheyuan Cui

Princeton University - Bendheim Center for Finance ( email )

United States
6263497175 (Phone)

Mert Demirer

Massachusetts Institute of Technology (MIT) ( email )

77 Massachusetts Avenue
50 Memorial Drive
Cambridge, MA 02139-4307
United States

Sonia Jaffe

Microsoft Research ( email )

Redomond, WA 98052

Leon Musolff (Contact Author)

University of Pennsylvania - Business & Public Policy Department ( email )

3641 Locust Walk
Philadelphia, PA 19104-6372
United States

Sida Peng

Microsoft Corporation ( email )

One Microsoft Way
Redmond, WA 98052
United States

Tobias Salz

Massachusetts Institute of Technology (MIT) ( email )

77 Massachusetts Avenue
50 Memorial Drive
Cambridge, MA 02139-4307
United States

National Bureau of Economic Research (NBER)

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

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