At a recent lab meeting, Frank Nagle (@frank_nagle) presented his paper 'Generative AI and the Nature of Work': "We seek to build upon research on #AI and productivity to better understand how #GenAI changes how people do work. We look at how the release of a GenAI coding tool (GitHub Copilot) changed how developers allocate their efforts to different types of tasks. We find that GenAI leads workers to spend more time on core work activities and less time on managerial tasks. We show two mechanisms drive this effect - workers with GenAI allocate more of their work efforts to things they can do by themselves (and less to collaborative work) and also do more exploration (new projects, new languages, etc.) and less exploitation (existing projects). Further we find the effects are greater for workers with lower ability. Finally, we do a back-of-the-envelope calculation and show that using GenAI allows developers to start coding in languages that have higher wages, leading to a labor market value impact of nearly $500 million (this would likely diminish in the long run). Though our empirical setting is open source software #OSS, we argue, and find evidence, that the results generalize to private work settings as well." papers.ssrn.com/sol3/papers.…