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The Impact of AI on the Labour Market: Essays on Transformative Technology, Occupations, and Firms

Abstract

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.

Engberg, E. (2026). The Impact of AI on the Labour Market: Essays on Transformative Technology, Occupations, and Firms. Örebro University.

Details

Author
Engberg, E.
Publication year
2026
Published in

Örebro University.


Similar content

Article (with peer review)

Artificial Intelligence for Public Use

Lodefalk, M.; Engberg, E.; Lidskog, R.; Skargren, F.; Tang, A.
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Publication year

2026

Published in

Digital Society

Abstract

The public sector faces rising expectations, demographic change and persistent efficiency challenges. This article examines both the potential and limitations of AI in public services. Using an interdisciplinary conceptual framework, it analyses organisational, regulatory, technical and ethical barriers. It also simulates AI’s possible long-term effects on labour demand and productivity in Sweden using administrative data and occupational AI-exposure measures. The scenarios suggest that AI could help ease labour shortages and raise productivity, although effects vary substantially across subsectors and types of organisation. The results are scenarios, not forecasts.

Article (without peer review)

DAIOE: Dynamic AI Occupational Exposure (dataset and construction pipeline)

E. Engberg, H. Görg, M. Hellsten, F. Javed, M. Lodefalk, M. Längkvist, N. Monteiro, H. Kyvik Nordås, G. Pulito, S. Schroeder & A. Tang

Publication year

2026

Published in

Zenodo

Abstract

DAIOE is a dataset of occupation-year measures of exposure to artificial intelligence, accompanied by its construction pipeline and documentation. The index combines progress across public AI benchmarks with occupational ability profiles to estimate how exposure changes over time. The dataset covers multiple occupational classifications, including Swedish SSYK. It is a research data resource, not a peer-reviewed article.

Reports

Who is afraid of AI? Who should be?

Engberg, E., Görg, H., Hellsten, M., Javed, F., Lodefalk, M., Längkvist, M., & ..

Publication year

2026

Published in

Kiel Policy Brief, 2026.

Abstract

  • Occupations that are highly cognitive, non-physical, and low in social interaction — typically higher-skill white-collar roles such as data analysts, software developers, and translators — turn out to be highly AI-exposed
  • Occupations requiring manual dexterity or intensive interpersonal contact — such as construction labourers or nursing aides — remain among the least exposed to current AI technologies
  • Aggregate occupational exposure to AI has risen markedly since 2010, with especially rapid gains in the late 2010s and early 2020s
  • Our baseline estimates show no detectable effect of AI exposure on total firm employment, while it is associated with clear skill upgrading
    1. Engberg, E., Görg, H., Hellsten, M., Javed, F., Lodefalk, M., Längkvist, M., & .. (2026). Who is afraid of AI? Who should be?. Kiel Policy Brief, 2026.
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