“…Several studies find null average treatment effects of automation primes on public policy preferences, although some report considerable heterogeneity across sociodemographic subgroups (Jeffrey, 2021;Ladreit, 2022;Wu, 2023;Zhang, 2022;Gallego et al, 2023). While most of this research uses common treatments, whereby an automation shock affects one hypothetical firm (Di Tella and Rodrik, 2020;Ladreit, 2022;Wu, 2023;Zhang, 2022;Gallego et al, 2023), and similar dependent variables, such as support for different policies in response to automation shocks, there is more variation in how the studies define the control groups: some compare automation shocks to an unspecified labor market shock, whereas others compare automation to particular shocks, such as offshoring. Our study, in contrast, compares a costs-only condition to treatments that emphasize both the costs and benefits-either vague or specific-of automation.…”