https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4945566 Skip to main content PDF iconDownload This Paper Open PDF in Browser Add Paper to My Library Share: * * * * Permalink Using these links will ensure access to this page indefinitely [https://papers.ssrn.] Copy URL [https://dx.doi.org/1] Copy DOI The Effects of Generative AI on High Skilled Work: Evidence from Three Field Experiments with Software Developers 22 Pages Posted: 5 Sep 2024 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: September 03, 2024 Abstract This study evaluates the impact of generative AI on software developer productivity by analyzing data from three randomized controlled trials conducted at Microsoft, Accenture, and an anonymous Fortune 100 electronics manufacturing company. These field experiments, which were run by the companies as part of their ordinary course of business, provided a randomly selected subset of developers with access to GitHub Copilot, an AI-based coding assistant that suggests intelligent code completions. Though each separate experiment is noisy, combined across all three experiments and 4,867 software developers, our analysis reveals a 26.08% increase (SE: 10.3%) in the number of completed tasks among developers using the AI tool. Notably, less experienced developers showed higher adoption rates and greater productivity gains. JEL Classification: J24, O32, O33 Suggested Citation: 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 (September 03, 2024). 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 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 PDF iconDownload This Paper Open PDF in Browser Do you have a job opening that you would like to promote on SSRN? Place Job Opening Paper statistics Downloads 6,779 Abstract Views 24,943 Rank 13,310 22 References PlumX Metrics Related eJournals * IO: Productivity, Innovation & Technology eJournal Follow IO: Productivity, Innovation & Technology eJournal Subscribe to this fee journal for more curated articles on this topic FOLLOWERS 1,052 PAPERS 30,030 * Randomized Social Experiments eJournal Follow Randomized Social Experiments eJournal Subscribe to this fee journal for more curated articles on this topic FOLLOWERS 457 PAPERS 6,138 This Journal is curated by: Mark D. Shroder at Government of the United States of America - Office of Policy Development & Research Feedback Feedback to SSRN Feedback (required) [ ] Email (required) [ ] Submit If you need immediate assistance, call 877-SSRNHelp (877 777 6435) in the United States, or +1 212 448 2500 outside of the United States, 8:30AM to 6:00PM U.S. Eastern, Monday - Friday. Submit a Paper Section 508 Text Only Pages SSRN Quick Links * SSRN Solutions * Research Paper Series * Conference Papers * Partners in Publishing * Jobs & Announcements * Special Topic Hubs SSRN Rankings * Top Papers * Top Authors * Top Organizations About SSRN * Network Directors * Announcements * Contact us * FAQs * * * Copyright Terms and Conditions Privacy Policy All content on this site: Copyright (c) 2023 Elsevier Inc., its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the Creative Commons licensing terms apply. We use cookies to help provide and enhance our service and tailor content. To learn more, visit Cookie Settings. This page was processed by aws-apollo-l200 in 0.110 seconds