Lower-skilled occupations face greater upskilling pressure in U.S. job ads.

Autor/inn/en	Tong, Di; Wu, Lingfei; Evans, James A.
Titel	Lower-skilled occupations face greater upskilling pressure in U.S. job ads. Gefälligkeitsübersetzung: In den USA stehen gering qualifizierte Berufe in Stellenanzeigen unter einem größeren Druck, sich weiterzubilden.
Quelle	In: Nature Communications, 17 (2026) 1, 11 S. PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Zeitschriftenaufsatz
ISSN	2041-1723
DOI	10.1038/s41467-025-67992-y
Schlagwörter	Technologische Entwicklung; Stellenanzeige; Unternehmensgröße; Berufsgruppe; Höherqualifikation; Niedrig Qualifizierter; Qualifikationsanforderung; Qualifikationsanpassung; Qualifikationsprofil; Qualifikationswandel; MINT-Beruf; Jobbörse; Weiterbildungsbedarf; Auswirkung; USA
Abstract	"Substantial scholarship has estimated the susceptibility of jobs to automation, but little has examined how job contents evolve in the information age as new technologies substitute for tasks, shifting required skills rather than eliminating entire jobs. Here we explore patterns of occupational skill change and characterize occupations and workers subject to the greatest re-skilling requirements in the United States. Recent work found that changing skill requirements are greatest for STEM occupations in the 2010s. Nevertheless, analyzing 167 million online job posts covering 721 occupations, we find that when accounting for distance between skills, skill change is greater for lower-skilled occupations: those with fewer skills, lower wages, and less educational requirements. We further investigate the differences in skill change across employer and market size, as well as social demographic groups. We find that jobs from small employers and markets experienced larger skill upgrades to catch up with the skill demands of their large employers and markets. While these varied skill changes could create uneven reskilling pressures across workers, they may also lead to a narrowing of gaps in job quality and prospects. We conclude by showcasing our model's potential to chart job evolution directions using skill embedding spaces." The study refers to the period 2010-2018 (Author's abstract, IAB-Doku).
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2026/3