Artificial Intelligence, Tasks, Skills and Wages: Worker-Level Evidence from Germany

Erik Engberg (), Michael Koch (), Magnus Lodefalk and Sarah Schroeder
Additional contact information
Erik Engberg: Örebro University School of Business, Postal: Örebro University, School of Business, SE - 701 82 ÖREBRO, Sweden, https://www.oru.se/english/employee/erik_engberg
Michael Koch: Aarhus University, Postal: Fuglesangs Allé 4, 2632, 114, 8210 Aarhus V, Denmark, https://pure.au.dk/portal/en/persons/mkoch%40econ.au.dk

No 2023:12, Working Papers from Örebro University, School of Business

Abstract: This paper documents novel facts on within-occupation task and skill changes over the past two decades in Germany. In a second step, it reveals a distinct relationship between occupational work content and exposure to artificial intelligence (AI) and automation (robots). Workers in occupations with high AI exposure, perform different activities and face different skill requirements, compared to workers in occupations exposed to robots. In a third step, the study uses individual labour market biographies to investigate the impact on wages between 2010 and 2017. Results indicate a wage growth premium in occupations more exposed to AI, contrasting with a wage growth discount in occupations exposed to robots. Finally, the study further explores the dynamic influence of AI exposure on individual wages over time, uncovering positive associations with wages, with nuanced variations across occupational groups.

Keywords: Artificial intelligence technologies; Task content; Skills; Wages (search for similar items in EconPapers)
JEL-codes: J23 J24 J44 N34 O33 (search for similar items in EconPapers)
Pages: 55 pages
Date: 2023-12-27
New Economics Papers: this item is included in nep-ain, nep-cmp, nep-eur, nep-lma and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Working Paper: Artificial Intelligence, Tasks, Skills and Wages: Worker-Level Evidence from Germany (2023)
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Persistent link: https://EconPapers.repec.org/RePEc:hhs:oruesi:2023_012

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