Artificial intelligence and skills in the workplace: An integrative research agenda
Open accessAbstract
The development and diffusion of artificial intelligence (AI) technologies in workplaces are transforming the nature of work practices and their constituent skill requirements. This dual transformation is challenging for workers, organisations and societies, who are faced with the need to develop and enhance extant and new skills required to succeed in increasingly AI-mediated work settings. Although literature has recognised skills as a key factor in the development and uptake of AI technologies, there has been paucity of empirical research on the precise nature of skill requirements in AI-mediated workplaces. This commentary argues that to advance our understanding of skill requirements in AI-mediated workplaces, an integrative, multidisciplinary, multimethod and multistakeholder approach is required. The commentary proposes an agenda for future research in this societally important but poorly understood area.
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Early exposure to technology concepts can significantly influence students' career paths and preparedness for the future.
“It was shown that early exposure to technology concepts can significantly influence students' career paths and preparedness for the future”
From Embracing the future of Artificial Intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education (2024) · cites this paper as Margaryan, 2023
Cites
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., et al. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.08.002 · Cited by 4,611 · see citing works
Rahwan, I., Cebrian, M., Obradovich, N., Bongard, J., Bonnefon, J.-F., Breazeal, C., Crandall, J. W., Christakis, N. A., Couzin, I. D., Jackson, M. O., et al. (2019) · Nature · doi:10.1038/s41586-019-1138-y · Cited by 1,364 · cited 1× · see citing works
“In addition, causal designs that could help shed light on the causes and consequences of skill transformation on the uptake of AI in the workplace would be required (Rahwan et al., 2019).”
BackgroundWhat can machine learning do? Workforce implications
Brynjolfsson, E., & Mitchell, T. (2017) · Science · doi:10.1126/science.aap8062 · Cited by 1,131 · cited 1× · see citing works
“At the organisational level, the embedding of AI has been uneven, with the availability of skills to develop, implement and use AI recognised as a key barrier to their uptake (Brynjolfsson and Mitchell, 2017; Frank et al., 2019).”
BackgroundAlgorithmic management in a work context
Jarrahi, M. H., Newlands, G., Lee, M. K., Wolf, C. T., Kinder, E., & Sutherland, W. (2021) · Big Data & Society · doi:10.1177/20539517211020332 · Cited by 532 · cited 5× · see citing works
“Scholars have critiqued the destabilising effect of such nomenclature on human dignity in the workplace, evidencing the non-trivial amount of human input that goes into training, validating and calibrating such tools to keep them running (Newlands, 2021).”
BackgroundInfluentialTubaro, P., Casilli, A. A., & Coville, M. (2020) · Big Data & Society · doi:10.1177/2053951720919776 · Cited by 262 · see citing works
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Walter, Y. (2024) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-024-00448-3 · Cited by 1,113 · see citing works
- Authors
- Margaryan, A.
- Affiliations
- Copenhagen Business School (DK)
- Corresponding author
- Margaryan, Anoush
- ORCID
- Margaryan, Anoush
- Venue
- Big Data & Society
- Publisher
- SAGE Publications
- Published
- 2023-07
- Volume
- 10
- Issue
- 2
- ISSN
- 2053-9517 (ISSN-L)
- OpenAlex
- W4387505955
- Cited by
- 30
- References
- 5
- Citations by year
- 2026: 7 · 2025: 17 · 2024: 6
- FWCI
- 6.12
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Big Data & Society (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- CBS Research Portal (Copenhagen Business School) (submittedVersion, cc-by-nc-nd)
- Funders
- Volkswagen Foundation (A130825)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
- Keywords
- artificial intelligence in the workplace, skill requirements, employability skills, work practices, future of work, research agenda, multidisciplinary research
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