Oxford University researchers Michael Osborne and Carl Frey analyzed job automation susceptibility based on nine key skills: social perceptiveness, negotiation, persuasion, assisting and caring for others, originality, fine arts, finger dexterity, manual dexterity, and the need to work in cramped spaces. Their findings indicate that jobs requiring higher levels of these skills are less likely to be automated. Participants in the discussion shared their automation risk scores, with professions like biologists and engineers reporting low susceptibility, while physical scientists showed higher risks. The conversation also touched on the evolving nature of automation and its potential impact on various jobs, with some expressing confidence in their job security while others acknowledged the likelihood of automation in their fields. The original study methodology involves ranking the importance of the nine categories for each job to determine its automation risk, although detailed raw data for individual jobs is not available.
