Jobs at Risk of Automation in the USA: Implications for Community Colleges

Autor/inn/en	Yamashita, Takashi; Cummins, Phyllis A.
Titel	Jobs at Risk of Automation in the USA: Implications for Community Colleges
Quelle	In: Community College Journal of Research and Practice, 46 (2022) 5, S.374-377 (4 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Yamashita, Takashi) ORCID (Cummins, Phyllis A.) Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1066-8926
DOI	10.1080/10668926.2021.1876782
Schlagwörter	Automation; Community Colleges; Risk; Job Skills; College Role; Vocational Education; Access to Education; Occupations; Industry; Job Training; Age Differences; Current Population Survey + Suchen Sie Ihr Suchwort? Community college; Community College; Risiko; Produktive Fertigkeit; Ausbildung; Berufsbildung; Education; Access; Bildung; Zugang; Bildungszugang; Beruf; Berufsumfeld; Industrie; Berufsqualifizierender Bildungsgang; Age; Difference; Age difference; Altersunterschied
Abstract	Advancing technologies such as artificial intelligence and robots are steadily replacing jobs in the USA. Continuous skill-upgrading and re-skilling are critical for workers to remain employable throughout their careers. In these social and economic contexts, community colleges play significant roles to provide workforce education and training because of their open admission, lower tuition, and shorter and more specific occupational programs compared to four-year universities. However, the detailed data of jobs at risk of automation are currently unavailable to inform future community college programs. This study used the national occupation and risk-of-automation data to estimate specific numbers of jobs at risk by industries and age groups. Results showed that approximately 48% of the jobs could be replaced within two decades. Four industries (1) service; (2) sales and office; (3) natural resources, construction, and maintenance; and (4) production, transportation, and material moving were at a particularly higher risk (up to 75%). At the same time, computer, engineering, and health-care occupations had a lower risk (up to 12%). The estimated numbers of jobs at risk inform community colleges' strategic planning. [For the corresponding grantee submission, see ED618484.] (As Provided).
Anmerkungen	Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01