To Örebro University

oru.seÖrebro University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Artificial intelligence, hiring and employment: job postings evidence from Sweden
Örebro University, Örebro University School of Business. The Ratio Institute, Stockholm, Sweden.
The Ratio Institute, Stockholm, Sweden; Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark.
Department of Statistics, Lund University, Lund, Sweden.
Örebro University, Örebro University School of Business. The Ratio Institute, Stockholm, Sweden; The Global Labor Organization (GLO), Essen, Sweden.ORCID iD: 0000-0003-0149-9598
Show others and affiliations
2025 (English)In: Applied Economics Letters, ISSN 1350-4851, E-ISSN 1466-4291Article in journal (Refereed) Epub ahead of print
Abstract [en]

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.

Place, publisher, year, edition, pages
Routledge, 2025.
Keywords [en]
Artificial intelligence, technological change, automation, labour demand
National Category
Economics
Identifiers
URN: urn:nbn:se:oru:diva-121046DOI: 10.1080/13504851.2025.2497431ISI: 001482815400001Scopus ID: 2-s2.0-105004803183OAI: oai:DiVA.org:oru-121046DiVA, id: diva2:1958574
Funder
The Jan Wallander and Tom Hedelius Foundation, P19-0234Torsten Söderbergs stiftelse, E46/21; ET3/23
Note

Funding: Lodefalk, Engberg, Hellsten, and Sabolová acknowledge support from Ratio Institute. Lodefalk also received funding from the Jan Wallander and Tom Hedelius Foundation [P19-0234] and the Torsten Söderberg Foundation [E46/21, ET3/23]. Sabolová received support from the Jean Monnet Network and Erasmus+. Schroeder from the Carlsberg Foundation.

Available from: 2025-05-15 Created: 2025-05-15 Last updated: 2026-03-20Bibliographically approved
In thesis
1. The Impact of AI on the Labour Market: Essays on Transformative Technology, Occupations, and Firms
Open this publication in new window or tab >>The Impact of AI on the Labour Market: Essays on Transformative Technology, Occupations, and Firms
2026 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The topic of this thesis is the economics of transformative technology, with the impact of artificial intelligence (AI) on the labour market as the primary focus.

Analysing German data, Essay I shows that occupational AI exposure was associated with wage gains, and an increased focus on knowledge-intensive tasks. There is a clear contrast between the types of work that are exposed to AI, versus robotics.

Essay II finds that AI exposure is associated with AI adoption and increased labour demand, as measured by job vacancy postings, in Swedish establishments/workplaces.

Essay III develops a novel measure of occupational AI exposure, called Dynamic AI Occupational Exposure (DAIOE). AI exposure is shown to be associated with upskilling at the firm level in Sweden, Denmark, and Portugal.

Essay IV analyses the labour market implications of the growing social and verbal capabilities of large language models (LLMs). Analysis of occupational data from O*NET and job ads provides a map of the most important types of social work tasks. Among social tasks, verbal communication tasks have the strongest association with occupational exposure to LLMs.

Essay V is about the impact of venture capital (VC) on start-up firms. Investment from both private and governmental VCs is found to increase sales with a 2-3 year delay, driven primarily by efficiency gains, and to some extent, capital investment. Governmental VCs are more likely to make follow-on investments in non-growing firms.

Place, publisher, year, edition, pages
Örebro: Örebro University, 2026. p. 41
Series
Örebro Studies in Economics, ISSN 1651-8896 ; 50
Keywords
Artificial intelligence, Technology, Labour market, Entrepreneurship
National Category
Economics
Identifiers
urn:nbn:se:oru:diva-127710 (URN)9789175297552 (ISBN)9789175297569 (ISBN)
Public defence
2026-04-22, Örebro universitet, Forumhuset, Hörsal F, Fakultetsgatan 1, Örebro, 13:15 (English)
Opponent
Supervisors
Available from: 2026-03-03 Created: 2026-03-03 Last updated: 2026-03-24Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Engberg, ErikLodefalk, Magnus

Search in DiVA

By author/editor
Engberg, ErikLodefalk, Magnus
By organisation
Örebro University School of Business
In the same journal
Applied Economics Letters
Economics

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 191 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf