{"title":"The Myth of Black Obsolescence","authors":"Jason Resnikoff","doi":"10.1017/S0147547922000242","DOIUrl":null,"url":null,"abstract":"A few years ago, the global consulting firm McKinsey and Company began issuing a series of increasingly urgent reports concerning “automation” and the future of work. Defining automation broadly as artificial intelligence and “other digital technologies,” the company promised in its reports that it could advise companies how they might prepare. Amidst this flurry of publication, McKinsey produced several articles specifically on the theme of “The Future of Work in Black America.” With “a new and proprietary data set”—a data set so proprietary readers were not privileged to see it—McKinsey claimed that “automation” would hurt the job prospects of Black Americans, and in particular Black men, more deeply and more broadly than any other demographic group in the United States. The jobs Black people held, McKinsey seemed to believe, were precisely those best performed by robots. For McKinsey's analysts, this conclusion was all but obvious when one considered, first, the racist exclusion of Black Americans from the resources of society, and second, the levels of education required to obtain the jobs Black people in America disproportionately hold, like “truck drivers, food service workers, and office clerks.”","PeriodicalId":14353,"journal":{"name":"International Labor and Working-Class History","volume":"102 1","pages":"124 - 145"},"PeriodicalIF":0.5000,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Labor and Working-Class History","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1017/S0147547922000242","RegionNum":3,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HISTORY","Score":null,"Total":0}
引用次数: 1
Abstract
A few years ago, the global consulting firm McKinsey and Company began issuing a series of increasingly urgent reports concerning “automation” and the future of work. Defining automation broadly as artificial intelligence and “other digital technologies,” the company promised in its reports that it could advise companies how they might prepare. Amidst this flurry of publication, McKinsey produced several articles specifically on the theme of “The Future of Work in Black America.” With “a new and proprietary data set”—a data set so proprietary readers were not privileged to see it—McKinsey claimed that “automation” would hurt the job prospects of Black Americans, and in particular Black men, more deeply and more broadly than any other demographic group in the United States. The jobs Black people held, McKinsey seemed to believe, were precisely those best performed by robots. For McKinsey's analysts, this conclusion was all but obvious when one considered, first, the racist exclusion of Black Americans from the resources of society, and second, the levels of education required to obtain the jobs Black people in America disproportionately hold, like “truck drivers, food service workers, and office clerks.”
期刊介绍:
ILWCH has an international reputation for scholarly innovation and quality. It explores diverse topics from globalisation and workers’ rights to class and consumption, labour movements, class identities and cultures, unions, and working-class politics. ILWCH publishes original research, review essays, conference reports from around the world, and an acclaimed scholarly controversy section. Comparative and cross-disciplinary, the journal is of interest to scholars in history, sociology, political science, labor studies, global studies, and a wide range of other fields and disciplines. Published for International Labor and Working-Class History, Inc.