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dc.contributor.authorFrank, Morgan R
dc.contributor.authorSun, Lijun
dc.contributor.authorCebrian, Manuel
dc.contributor.authorYoun, Hyejin
dc.contributor.authorRahwan, Iyad
dc.date.accessioned2021-10-27T20:10:04Z
dc.date.available2021-10-27T20:10:04Z
dc.date.issued2018
dc.identifier.urihttps://hdl.handle.net/1721.1/134961
dc.description.abstract© 2018 The Authors. The city has proved to be the most successful form of human agglomeration and provides wide employment opportunities for its dwellers. As advances in robotics and artificial intelligence revive concerns about the impact of automation on jobs, a question looms: how will automation affect employment in cities? Here, we provide a comparative picture of the impact of automation across US urban areas. Small cities will undertake greater adjustments, such as worker displacement and job content substitutions. We demonstrate that large cities exhibit increased occupational and skill specialization due to increased abundance of managerial and technical professions. These occupations are not easily automatable, and, thus, reduce the potential impact of automation in large cities. Our results pass several robustness checks including potential errors in the estimation of occupational automation and subsampling of occupations. Our study provides the first empirical law connecting two societal forces: urban agglomeration and automation’s impact on employment.
dc.language.isoen
dc.publisherThe Royal Society
dc.relation.isversionof10.1098/RSIF.2017.0946
dc.rightsCreative Commons Attribution 4.0 International license
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceThe Royal Society
dc.titleSmall cities face greater impact from automation
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Society
dc.relation.journalJournal of the Royal Society Interface
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2019-07-25T15:48:24Z
dspace.orderedauthorsFrank, MR; Sun, L; Cebrian, M; Youn, H; Rahwan, I
dspace.date.submission2019-07-25T15:48:26Z
mit.journal.volume15
mit.journal.issue139
mit.metadata.statusAuthority Work and Publication Information Needed


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