Artificial intelligence, hiring and employment : job postings evidence from Sweden
(2025) In Applied Economics Letters- 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 to 2022 and full-population administrative data for Sweden. We exploit 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... (More)
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 to 2022 and full-population administrative data for Sweden. We exploit 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.
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- author
- Engberg, Erik ; Hellsten, Mark ; Javed, Farrukh LU ; Lodefalk, Magnus LU ; Sabolová, Radka ; Schroeder, Sarah and Tang, Aili
- organization
- publishing date
- 2025
- type
- Contribution to journal
- publication status
- epub
- subject
- keywords
- Artificial intelligence, automation, labour demand, technological change
- in
- Applied Economics Letters
- publisher
- Routledge
- external identifiers
-
- scopus:105004803183
- ISSN
- 1350-4851
- DOI
- 10.1080/13504851.2025.2497431
- language
- English
- LU publication?
- yes
- id
- f9770a6c-481f-4c5d-b18e-5aa39dd6b50f
- date added to LUP
- 2025-09-18 13:31:09
- date last changed
- 2025-10-14 09:39:14
@article{f9770a6c-481f-4c5d-b18e-5aa39dd6b50f,
abstract = {{<p>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 to 2022 and full-population administrative data for Sweden. We exploit 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.</p>}},
author = {{Engberg, Erik and Hellsten, Mark and Javed, Farrukh and Lodefalk, Magnus and Sabolová, Radka and Schroeder, Sarah and Tang, Aili}},
issn = {{1350-4851}},
keywords = {{Artificial intelligence; automation; labour demand; technological change}},
language = {{eng}},
publisher = {{Routledge}},
series = {{Applied Economics Letters}},
title = {{Artificial intelligence, hiring and employment : job postings evidence from Sweden}},
url = {{http://dx.doi.org/10.1080/13504851.2025.2497431}},
doi = {{10.1080/13504851.2025.2497431}},
year = {{2025}},
}