Artificial Intelligence and Jobs: Evidence from US Commuting Zones.

Autor/inn/en	Bonfiglioli, Alessandra; Crinò, Rosario; Gancia, Gino; Papadakis, Ioannis
Institution	CESifo GmbH
Titel	Artificial Intelligence and Jobs: Evidence from US Commuting Zones. Gefälligkeitsübersetzung: Künstliche Intelligenz und Arbeitsplätze: Beweise aus US-Pendlerzonen.
Quelle	München (2023), 41 S. PDF als Volltext kostenfreie Datei (1); PDF als Volltext kostenfreie Datei (2) Link als defekt meldenVerfügbarkeit
Reihe	CESifo working paper. 10685
Sprache	englisch
Dokumenttyp	online; Monographie
Schlagwörter	Künstliche Intelligenz; Automatisierung; Beschäftigungseffekt; Berufsgruppe; Qualifikation; Regionaler Arbeitsmarkt; Entlassung; Arbeitspapier; Auswirkung; Einflussfaktor; Regionaler Vergleich; Sektorale Verteilung; USA
Abstract	"We study the effect of Artificial Intelligence (AI) on employment across US commuting zones over the period 2000-2020. A simple model shows that AI can automate jobs or complement workers, and illustrates how to estimate its effect by exploiting variation in a novel measure of local exposure to AI: job growth in AI-related professions built from detailed occupational data. Using a shift-share instrument that combines industry-level AI adoption with local industry employment, we estimate robust negative effects of AI exposure on employment across commuting zones and time. We find that AI's impact is different from other capital and technologies, and that it works through services more than manufacturing. Moreover, the employment effect is especially negative for low-skill and production workers, while it turns positive for workers at the top of the wage distribution. These results are consistent with the view that AI has contributed to the automation of jobs and to widen inequality." The study refers to the period 2000-2020. (Author's abstract, IAB-Doku)..
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2024/1