Universities and the labor market in the age of artificial intelligence: A review on education and governance
DOI:
https://doi.org/10.22320/hem.v24i2.7511Keywords:
Artifical Intelligence, Labor Market, Universities, CompetenciesAbstract
This study examines how universities are responding to labor-market transformations driven by artificial intelligence (AI). Through a structured literature review in Scopus and Web of Science, 38 scholarly articles and international policy documents were analyzed. The findings converge around three themes: human capital (technical, cognitive, and socio-emotional competencies), employability (labor-market entry and performance), and the triple helix (university–industry–government collaboration). The literature highlights growing demand for hybrid skill sets and ethical AI governance frameworks, while also revealing gaps in curricula and in coordination with productive sectors. Future research is encouraged on the notion of “AI Capital,” the design of continuous-learning ecosystems, and university governance models that support the strategic integration of AI across organizations.
References
Alam, M. J., Noman, S., Mujib, M. N. I., & Khan, W. S. (2025). An assessment of graduates skills gap for sustainable employability during the 4IR in Bangladesh. https://doi.org/10.1016/j.ssaho.2025.101780 DOI: https://doi.org/10.1016/j.ssaho.2025.101780
Becker, G. S. (1993). Human Capital A Theoretical and Empirical Analysis, with Special Reference to Education (3rd ed.). DOI: https://doi.org/10.7208/chicago/9780226041223.001.0001
Brynjolfsson, Erik., & Mcafee, Andrew. (2017). Machine, Platform, Crowd . W. W. Norton & Company.
Camacho-Zuñiga, C., Salas-Maxemín, S., Valle-Arce, A. P., Caratozzolo, P., & Chans, G. M. (2025). Toward a continuous learning educational model: insights from the experience of a Mexican private university. https://doi.org/10.3389/feduc.2025.1485034 DOI: https://doi.org/10.3389/feduc.2025.1485034
Cheng, S., Cao, R., & Md Rashid, S. (2025). The influence of employability skills on quality of employment in AI-driven labour market transformations: the roles of academic achievement and motivation. https://doi.org/10.1057/s41599-025-05872-y DOI: https://doi.org/10.1057/s41599-025-05872-y
Etzkowitz, H., & Leydesdorff, L. (2000). The dynamics of innovation: from National Systems and “Mode 2” to a Triple Helix of university–industry–government relations. Research Policy, 29(2), 109–123. https://doi.org/10.1016/S0048-7333(99)00055-4 DOI: https://doi.org/10.1016/S0048-7333(99)00055-4
García-Martínez, A., & Pujol, F. (2025). EurekAI: Marco para la integración pedagógica de la Inteligencia Artificial en la educación universitaria. https://doi.org/10.15581/028.00016 DOI: https://doi.org/10.70664/retis.v2i1.006
Gemmell, L., Wenham, L., & Hauert, S. (2021). Skilling the Gap: 21 Conversations on Designing Education for Those Left Behind as Robotics and Artificial Intelligence Advance. https://doi.org/10.1002/aisy.202000169 DOI: https://doi.org/10.1002/aisy.202000169
Grama, B., & Todericiu, R. (2025). The Evolution of Skill Dynamics in the Context of the Future of Work. https://doi.org/10.2478/sbe-2025-0028 DOI: https://doi.org/10.2478/sbe-2025-0028
Kendzia, M. J., Linder, L., & Barthelmess, P. Y. (2025). The rise of AI careers and curricular shifts in Swiss higher education. https://doi.org/10.1016/j.ssaho.2025.102059 DOI: https://doi.org/10.1016/j.ssaho.2025.102059
LeFebvre, L., & LeFebvre, R. A. (2025). RESEARCH-AI résumés: learning to improve self-presentation for the labor market. https://doi.org/10.3389/feduc.2025.1576196 DOI: https://doi.org/10.3389/feduc.2025.1576196
Milian, R. P., & Munro, Y. (2020). Credit transfer, articulation & the future of work: towards a federal strategy. https://doi.org/10.47678/cjhe.vi0.188769
OECD. (2023). OECD ECONOMIC OUTLOOK 113. https://doi.org/10.1787/ce188438-en
Olaitan, O. O., Vijayalekshmi, S., & Vinoth-Kumar, D. V. (2024). Integrating 4IR Technologies into Higher Education in South Africa: Opportunities, Challenges, and Strategies. https://doi.org/10.26803/ijlter.23.11.8 DOI: https://doi.org/10.26803/ijlter.23.11.8
Ponce del Castillo, Aída. (2020). Labour in the age of AI: why regulation is needed to protect workers (ETUI). DOI: https://doi.org/10.2139/ssrn.3541002
Portocarrero Ramos, H. C., Cruz Caro, O., Sánchez Bardales, E., Quiñones Huatangari, L., Trigoso, J. A., Maicelo Guevara, J. L., & Chávez Santos, R. (2025). Artificial intelligence skills and their impact on the employability of university graduates. https://doi.org/10.3389/frai.2025.1629320 DOI: https://doi.org/10.3389/frai.2025.1629320
Shrivastava, P. (2025). Understanding acceptance and resistance toward generative AI technologies: a multi-theoretical framework integrating functional, risk, and sociolegal factors. https://doi.org/10.3389/frai.2025.1565927 DOI: https://doi.org/10.3389/frai.2025.1565927
Simeonov, S., Feradov, F., Marinov, A., & Abu-Alam, T. (2024). Integration of AI Training in the Field of Higher Education in the Republic of Bulgaria: An Overview. https://doi.org/10.3390/educsci14101063 DOI: https://doi.org/10.3390/educsci14101063
The Goldman Sachs Group, Inc. (2023). Annual Report 2023.
UNESCO. (2021). Reimagining our futures together: a new social contract for education. Educational and Cultural Organization of the United Nations.
WEF. (2025). Future of Jobs Report. www.weforum.org
Yorke, M. (2006). Employability in higher education: what it is – what it is not. Learning & Employability, 1, 24.
