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1 1 (May 16, 2025)

handle is hein.crs/csestdhwto0001 and id is 1 raw text is: SCongressional ~ Research Service Case Studies of How Generative Artificial Intelligence is Changing Work Updated May 16, 2025 Generative Artificial Intelligence (GenAI) is a new technology that can generate new code, text, images, and other content based on machine learning systems and can be trained using large quantities of previous content. During the 118t Congress, there were multiple congressional hearings on how GenAI technology may affect work and workers. GenAI became widely available only recently, and there are few case studies documenting how it is already changing the experience of work. This Insight summarizes two such case studies identified by CRS. In each of these studies, a new GenAI tool was intentionally rolled out to some workers before others so that researchers could compare workers who had access to the tool with similar workers who did not yet have access. In these studies, GenAI tools boosted job performance more for less experienced software developers and customer service agents. These findings highlight how much is still unknown about which workers will be most affected by GenAI technology. AI-Based Coding Assistance for Software Developers In The Effects ofGenerative Al on High Skilled Work: Evidence from Three Field Experiments with Software Developers, Kevin Zheyuan Cui et al. describe the rollout of GitHub CoPilot to thousands of software developers at Microsoft in 2022, and to Accenture and an anonymous large electronics manufacturing company in 2023. GitHub CoPilot is a GenAI tool that makes suggestions of code and code documentation. Not every software developer given early access to the tool used it-between 60% and 70% of people who had early access tried it during the study period. Overall, those who had early access to GitHub CoPilot completed more coding tasks and completed them more successfully than their peers without early access. Among Microsoft software developers, the likelihood of trying the tool, the likelihood of continuing to use the tool after trying it, and the gains from tool access on productivity were all larger for more recent hires. Congressional Research Service https://crsreports.congress.gov IN12537 CRS INSIGHT Prepared for Members and Committees of Congress