The Elusive Returns to AI Skills: Evidence from a Field Experiment.

Autor/inn/en	Firpo, Teo; Niemann, Lukas; Danilov, Anastasia
Institution	Collaborative Research Center TRR 190 Rationality and Competition
Titel	The Elusive Returns to AI Skills: Evidence from a Field Experiment. Gefälligkeitsübersetzung: Die schwer fassbaren Erträge von KI-Kompetenzen: Erkenntnisse aus einem Feldversuch.
Quelle	München; Berlin (2025), 49 S. PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Reihe	Discussion paper / Rationality & Competition, CCR TRR 190. 552
Beigaben	Anhang
Sprache	englisch
Dokumenttyp	online; Monografie
Schlagwörter	Informationstechnische Bildung; Fremdeinschätzung; Kognitive Kompetenz; Künstliche Intelligenz; Bildungsertrag; Fachkenntnisse; Soziale Qualifikation; Personalauswahl; Arbeitsuchender; Überqualifikation; Anwendung; Arbeitspapier; Auswirkung; Sektorale Verteilung; Personalleiter; Großbritannien
Abstract	"As firms increasingly adopt Artificial Intelligence (AI) technologies, how they adjust hiring practices for skilled workers remains unclear. This paper investigates whether AI-related skills are rewarded in talent recruitment by conducting a large-scale correspondence study in the United Kingdom. We submit 1,185 résumés to vacancies across a range of occupations, randomly assigning the presence or absence of advanced AI-related qualifications. These AI qualifications are added to résumés as voluntary signalsand not explicitly requested in the job postings. We find no statistically significant effect of listing AI qualifications in résumés on interview callback rates. However, a heterogeneity analysis reveals some positive and significant effects for positions in Engineering and Marketing. These results are robust to controlling for the total number of skills listed in job ads, the degree of match between résumés and job descriptions, and the level of expertise required. In an exploratory analysis, we find stronger employer responses to AI-related skills in industries with lower exposure to AI technologies. These findings suggest that the labor market valuation of AI-related qualifications is context-dependent and shaped by sectoral innovation dynamics." The study refers to the period 2021-2022 (Author's abstract, IAB-Doku).
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2026/4