We explore this further in three ways in the Appendix. First, we ask whether the percentile cutoff that we use to define treatment matters, varying it from the median to the 95th percentile. In all cases, the impact is flat or negative (meaning that unemployment decreases for the exposed group). Next, we focus on young workers in particular, those aged 22 to 25 as in Brynjolfsson et al. (2025). Finally, we use data on unemployment insurance claimants from the Department of Labor to measure the unemployment, rather than CPS survey responses. In no extension do we find clear impacts on exposed jobs.
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“The people that are most at risk are the ones that are sitting idly in the job and don’t really have a why or a purpose for it,” Gurley revealed. “A lot of the people that go through that college conveyor belt, that are chasing a safe job, that end up working as a widget or a cog in an industry they may not love—I think they are ripe for disruption.”