Mapping the global skills gap: An analysis of regional and sectoral challenges in a transforming global economy
Innocent Tinashe Mutero ORCID ↗ · Nyankomo Marwa
International Journal of Research in Business and Social Science · 2026 · Vol. 15 / Issue 4 · 293-301
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Abstract
The global skills gap is the foremost obstacle to business transformation. Across sectors and regions, established forms of expertise are being reshaped or rendered insufficient, creating widespread uncertainty about the durability of existing skill sets. This condition, often described as skill instability, reflects a growing need for continual learning and adaptation as occupational demands evolve. This study employs a critical analysis of data from leading international organizations to map the distinct nature of this challenge across the world’s regions and industries. The study demonstrates that its nature differs fundamentally between regions and sectors. In advanced economies, the crisis is a shortage of specialized digital and green skills. In developing regions, the deficits are more foundational, rooted in basic digital literacy and technical-vocational training. Everywhere, however, a structural mismatch is worsening economies are creating complex new jobs faster than they are training workers for them, even as automation displaces lower-skilled roles. To navigate this dual challenge, we argue that technology, especially AI, must be seen as a tool to augment human potential. The solution is a decisive strategic pivot: from reactive hiring to proactive human capital development. This requires nuanced, region-specific policies and a foundational corporate commitment to lifelong learning to build a resilient and inclusive future workforce.
Keywords: {'name': 'Skills Gap'}, {'name': 'Skill-Biased Technological Change'}, {'name': 'Reskilling & Upskilling'}, {'name': 'Technological Augmentation'}
Authors & affiliations
Innocent Tinashe Mutero
University of Johannesburg
Nyankomo Marwa
University of Johannesburg
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DOI: 10.1016/S0169-7218(11)02410-5
DOI: 10.1016/j.jeoa.2023.100476
DOI: 10.3390/econometrics11020016
DOI: 10.1007/978-1-4615-0325-5_6
Becker, G. S. (1992). Human capital and the economy. Proceedings of the American Philosophical Society, 136(1), 85–92.
DOI: 10.1191/1478088706qp063oa
Bryman, A. (2016). Social research methods (5th ed.). Oxford University Press.
DOI: 10.1787/14e62ec0-en
Cedefop. (2022). The future of vocational education and training in Europe: Reshaping the system for the green transition. Publications Office of the European Union. http://data.europa.eu/doi/10.2801/08824
DOI: 10.1257/jep.33.2.71
DOI: 10.18235/0003368
Denscombe, M. (2010). Qualitative data. In The good research guide for small-scale social research projects (4th ed., pp. 202–307). Open University Press.
DOI: 10.1002/ace.20556
Gekara, V., Snell, D., Molla, A., & Karanasios, S. (2020). International scan of approaches taken by select economies to build the digital skills of the existing workforce in response to the digital transformation of industry. Swinburne University of Technology. https://consensus.app/papers/international-scan-of-approaches-taken-by-select-gekara-molla/2dfd2fd166945f00bf1c8e79454236d7/
DOI: 10.1126/sciadv.ads1560
Inter-American Development Bank (IDB). (2022). The future of jobs in Latin America and the Caribbean: Preparing for the digital revolution. Inter-American Development Bank.
DOI: 10.1177/09708464241252316
DOI: 10.34021/ve.2024.07.03(5)
DOI: 10.1007/978-3-031-35936-1_18
DOI: 10.3390/world6020057
DOI: 10.1177/01171968251329973
DOI: 10.1016/j.tele.2024.102185
DOI: 10.3390/ijerph18020755
DOI: 10.1787/27452f29-en
DOI: 10.1787/27452f29-en
DOI: 10.1787/194a947b-en
Rayhan, A. (2023). The future of work: How AI and automation will transform industries. ResearchGate. https://www.researchgate.net/publication/372589640
DOI: 10.1080/1060586X.2020.1780727
DOI: 10.1111/1758-5899.13299
DOI: 10.54945/jjpp.v7i2.224
DOI: 10.31439/UNISCI-225
DOI: 10.4135/9781412985802
World Bank. (2021). Demand for digital skills in Sub-Saharan Africa. World Bank Group. https://documents1.worldbank.org/curated/en/099614312152318607/pdf/IDU0b36e9e030767f0417e0afb806e2ffdf1e8bf.pdf
World Economic Forum (WEF). (2023). The future of jobs report 2023. World Economic Forum. https://www.weforum.org/publications/the-future-of-jobs-report-2023/
World Economic Forum (WEF). (2025). Future of jobs report 2025. World Economic Forum. https://reports.weforum.org/docs/WEF_Future_of_Jobs_Report_2025.pdf
DOI: 10.52372/jps39104