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The article does not establish how effective locally tailored training would be.","speaker":{"name":"MIT Technology Review","roleAtSource":"Publisher"},"source":{"title":"Where you live in the US can tell you how likely your job is to be automated","publisher":"MIT Technology Review","format":"Article","url":"https://www.technologyreview.com/2019/01/23/137749/where-you-live-in-the-us-can-tell-you-how-likely-your-job-is-to-be-automated/","publishedAt":"2019-01-23T17:49:00Z","dateBasis":"Date from the publisher’s own records, through its API."},"evidence":[{"text":"The article describes “automation potential” as an estimate of how likely technology could carry out work tasks, based on job and industry calculations combined with employment data and predictions.","excerpt":"This boils down to how likely it is that what you do could be carried out by technology instead.","url":"https://www.technologyreview.com/2019/01/23/137749/where-you-live-in-the-us-can-tell-you-how-likely-your-job-is-to-be-automated/","relationship":"Source-stated"},{"text":"Brookings’s report authors argue that regional differences make locally organized training and reskilling important.","excerpt":"The report authors emphasize that these regional differences are why training and reskilling programs need to be organized and implemented on a local level.","url":"https://www.technologyreview.com/2019/01/23/137749/where-you-live-in-the-us-can-tell-you-how-likely-your-job-is-to-be-automated/","relationship":"Source-stated"},{"text":"The article says younger workers and underrepresented groups disproportionately worked in jobs with many automatable tasks.","excerpt":"underrepresented groups and younger workers disproportionately worked in jobs with a high number of automatable tasks.","url":"https://www.technologyreview.com/2019/01/23/137749/where-you-live-in-the-us-can-tell-you-how-likely-your-job-is-to-be-automated/","relationship":"Source-stated"},{"text":"The article says jobs with higher education requirements were less likely to be replaced by technology.","excerpt":"Roles that had higher-level education requirements were less likely to be replaced by technology.","url":"https://www.technologyreview.com/2019/01/23/137749/where-you-live-in-the-us-can-tell-you-how-likely-your-job-is-to-be-automated/","relationship":"Source-stated"},{"text":"Escape Meridian reads the regional estimates as evidence of potential exposure, not a forecast of which workers will lose jobs or when.","excerpt":"The speed at which these roles will be automated is still up for debate, though.","url":"https://www.technologyreview.com/2019/01/23/137749/where-you-live-in-the-us-can-tell-you-how-likely-your-job-is-to-be-automated/","relationship":"Escape Meridian interpretation"}],"sourceMedia":{"status":"unchecked","sourceUrl":"https://www.technologyreview.com/2019/01/23/137749/where-you-live-in-the-us-can-tell-you-how-likely-your-job-is-to-be-automated/","checkedAt":null,"items":[]},"assumptions":[],"whatWouldChangeView":{"attribution":"Open question","text":"How well would locally tailored training prepare workers if demand for particular jobs changes as automation proceeds?"},"editorialComparisons":[],"live":{"title":"MIT Technology Review reports regional differences in jobs’ automation potential","summary":"MIT Technology Review published this report on January 23, 2019, describing Brookings research on which US regions and worker groups had jobs with greater “automation potential.” The article explains this as how likely it is that technology could carry out the tasks in a job; it is an estimate of potential, not a timetable for replacement.\n\nThe report combines estimates of task automation potential from McKinsey with state employment data and predictions. 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