Artificial Intelligence, Hiring and Employment: Job Postings Evidence from Sweden

Erik Engberg (), Mark Hellsten (), Farrukh Javed (), Magnus Lodefalk, Radka Sabolová (), Sarah Schroeder and Aili Tang ()
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
Mark Hellsten: Aarhus University, Postal: Aarhus University, Department of Economics, Fuglesangs Alle 4, 8210 Aarhus, Denmark, https://www.oru.se/english/employee/mark_hellsten
Farrukh Javed: Lund University, Postal: Lund Universtity, Box 117, SE - 21 00 Lund, Sweden, https://www.lunduniversity.lu.se/lucat/user/b8c8d0f7315437248f5d744dfc64eb72
Radka Sabolová: Örebro University School of Business, Postal: Örebro University, School of Business, SE - 701 82 ÖREBRO, Sweden, https://www.researchgate.net/profile/Radka-Sabolova
Aili Tang: Örebro University School of Business, Postal: Örebro University, School of Business, SE - 701 82 ÖREBRO, Sweden

No 2024:10, Working Papers from Örebro University, School of Business

Abstract: This paper investigates the impact of artificial intelligence (AI) on hiring and employment, using the universe of job postings published by the Swedish Public Employment Service from 2014-2022 and universal register data for Sweden. We construct a detailed measure of AI exposure according to occupational content and find that establishments exposed to AI are more likely to hire AI workers. Survey data further indicate that AI exposure aligns with greater use of AI services. Importantly, rather than displacing non-AI workers, AI exposure is positively associated with increased hiring for both AI and non-AI roles. In the absence of substantial productivity gains that might account for this increase, we interpret the positive link between AI exposure and non-AI hiring as evidence that establishments are using AI to augment existing roles and expand task capabilities, rather than to replace non-AI workers.

Keywords: Artificial Intelligence; Technological Change; Automation; Labour Demand (search for similar items in EconPapers)
JEL-codes: D22 J23 J24 O33 (search for similar items in EconPapers)
Pages: 17 pages
Date: 2024-11-07
New Economics Papers: this item is included in nep-eur, nep-hrm, nep-lma and nep-tid
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Working Paper: Artificial Intelligence, Hiring and Employment: Job Postings Evidence from Sweden (2024)
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