The Impact of AI Adoption on the Global Workforce: A Systematic Review of Secondary Data
Description
This research examines the impact of Artificial Intelligence (AI) adoption on the global workforce, a subject of growing significance for policymakers, business leaders, and labor market stakeholders. Moving beyond speculative projections, the study systematically synthesizes secondary data spanning 2018 to 2025, drawing on empirical evidence from leading international organizations, including the World Economic Forum (WEF), the Organization for Economic Co-operation and Development (OECD), and the International Labour Organization (ILO).
The analysis reveals a consistent pattern of profound labor market restructuring characterized by substantial job churn. Routine-based occupations particularly in administrative support and data processing are experiencing displacement, while new employment opportunities are emerging across AI-intensive, technology-driven, and green economy sectors. Although aggregate projections indicate a marginally positive net employment effect, this overall figure obscures a deeper structural misalignment. Newly created roles frequently differ in sectoral location, skill composition, and geographical distribution from those being displaced.
A central finding of the study is the structural decline in demand for routine cognitive and manual competencies, accompanied by a sharp increase in requirements for technological proficiencies—such as AI literacy and data analytics—as well as higher-order human capabilities, including creativity, resilience, and critical thinking. Despite widespread recognition of these shifts, the research identifies a significant global “implementation gap,” wherein reskilling and upskilling initiatives are not keeping pace with the speed of technological transformation.
Furthermore, the workforce impact of AI adoption is highly uneven across sectors and regions. While manufacturing sectors face heightened automation exposure, fields such as healthcare demonstrate task augmentation dynamics. More critically, an emerging global AI divide is evident: advanced economies possess stronger adaptive capacity, whereas developing economies face risks of premature deindustrialization.
The study concludes that the workforce consequences of AI integration are neither technologically deterministic nor institutionally predetermined. Rather, outcomes will depend on the strategic effectiveness of education systems, the scale of reskilling infrastructures, and the robustness of public policy frameworks designed to manage technological transition.
Files
Maroof_2025_Thesis_AI_Global_Workforce.pdf
Files
(2.0 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:e1aa6034861cd5011b597c3d47c7c9fe
|
2.0 MB | Preview Download |
Additional details
References
- Tranfield, D., Denyer, D. and Smart, P. (2003). 'Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review', British Journal of Management, 14(3), pp. 207-222. Available at: https://doi.org/10.1111/1467-8551.00375
- Saunders, M. N. K., Lewis, P. and Thornhill, A. (2009). Research Methods for Business Students. 5th edn. Pearson education. Available at: https://books.google.com/books?hl=en&lr=&id=u-txtfaCFiEC&oi=fnd&pg=PA2&dq=Saunders,+M.+N.+K.,+Lewis,+P.+and+Thornhill,+A.+(2019).+Research+Methods+for+Business+Students.+8th+edn.+Harlow:+Pearson&ots=DyLUFjH79L&sig=hRlPpOK6OpPM1A92vKQXLMfKARM
- Lungu, M., (2022). The coding manual for qualitative researchers. American Journal of Qualitative Research, 6(1), pp.232-237. Available at: https://doi.org/10.29333/ajqr/12085
- Bryman, A. and Bell, E. (2022). Business Research Methods. 6th edn. Oxford: Oxford University Press. Available at: https://books.google.com/books?hl=en&lr=&id=hptjEAAAQBAJ&oi=fnd&pg=PP1&dq=Bryman,+A.+and+Bell,+E.+(2019).+Business+Research+Methods.+6th+edn.+Oxford:+Oxford+University+Press.&ots=Ddph49v4Zx&sig=nCdV3yL2FmGppISEUsDOqhYHk1M
- Johnston, M. P. (2014). Secondary Data Analysis: A Method of which the Time Has Come, Qualitative and Quantitative Methods in Libraries, 3(3), pp. 619-626. Available at: http://www.qqml.net/papers/September_2017_Issue/336QQML_Journal_2017_Johnston_619_626.pdf
- Susskind, D. and Susskind, R. (2015). The Future of the Professions: How Technology Will Transform the Work of Human Experts. Oxford University Press. Available at: https://www.canlii.org/w/canlii/2017CanLIIDocs3877.pdf
- Jick, T. D. (1979). 'Mixing Qualitative and Quantitative Methods: Triangulation in Action', Administrative Science Quarterly, 24(4), pp. 602-611. Available at: https://doi.org/10.2307/2392366
- Arntz, M., Gregory, T. and Zierahn, U. (2016). The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis. OECD Social, Employment and Migration Working Papers, no. 189. Paris: OECD Publishing. Available at: https://doi.org/10.1787/5jlz9h56dvq7-en
- Becker, G. S. (1993). Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education (3rd ed.). The University of Chicago Press. Available at: http://digamo.free.fr/becker1993.pdf
- Brynjolfsson, E. and McAfee, A., 2014. The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton and company. Available at: http://digamo.free.fr/brynmacafee2.pdf
- Christensen, C. M. (1997). The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail. Harvard Business Review Press. Available at: https://cpcglobal.org/publications/The%20Innovators%20Dilemma.pdf
- Frey, C. B. and Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, pp. 254–280. Available at: https://doi.org/10.1016/j.techfore.2016.08.019
- Mukhalipi, A. (2018). Human capital management and future of work: job creation and unemployment, a literature review', Open Access Library Journal, 5(9), p. 1. Available at: http://doi.org/10.4236/oalib.1104859
- Rogers, E. M. (2003). Diffusion of Innovations (3rd ed.). The Free Press. Available at: https://teddykw2.wordpress.com/wp-content/uploads/2012/07/everett-m-rogers-diffusion-of-innovations.pdf
- Scott, W. R. (2013). Institutions and Organizations: Ideas, Interests, and Identities (4th ed.). SAGE Publications. Available at: https://books.google.hu/books?id=NbQgAQAAQBAJ&printsec=frontcover&hl=hu&source=gbs_ge_summary_r&cad=0
- World Economic Forum (WEF). (2018). The Future of Jobs Report 2018. Geneva: World Economic Forum. Available at: http://www3.weforum.org/docs/WEF_Future_of_Jobs_2018.pdf
- World Economic Forum (WEF). (2020). The Future of Jobs Report 2020. Geneva: World Economic Forum. Available at: https://www3.weforum.org/docs/WEF_Future_of_Jobs_2020.pdf
- World Economic Forum (WEF). (2023). The Future of Jobs Report 2023. Geneva: World Economic Forum. Available at: https://www3.weforum.org/docs/WEF_Future_of_Jobs_2023.pdf
- World Economic Forum (WEF). (2025). The Future of Jobs Report 2025. Geneva: World Economic Forum. Available at: https://www3.weforum.org/docs/WEF_Future_of_Jobs_2025.pdf
- Organisation for Economic Co-operation and Development (OECD). (2019). OECD Employment Outlook 2019: The Future of Work. OECD Publishing. Available at: https://doi.org/10.1787/9ee00155-en
- Organisation for Economic Co-operation and Development (OECD). (2023). OECD Employment Outlook 2023: Artificial Intelligence and the Labour Market. OECD Publishing. https://doi.org/10.1787/08785bba-en
- IBM Corporation (2023). AI and Workforce Reskilling Strategy. Available at: https://www.ibm.com/think/insights/ai-upskilling
- IBM Corporation (2024). Upskilling and reskilling for talent transformation in the era of AI. Available at: https://www.ibm.com/think/insights/ai-upskilling
- International Labour Organization (ILO). (2021). World Social Protection Report 2020–22: Social Protection at the Crossroads – in Pursuit of a Better Future. Geneva: International Labour Office. Available at: https://www.ilo.org/sites/default/files/wcmsp5/groups/public/%40ed_protect/%40soc_sec/documents/publication/wcms_817572.pdf
- International Labour Organization (ILO). (2023). World Employment and Social Outlook. Available at https://www.ilo.org/sites/default/files/wcmsp5/groups/public/%40dgreports/%40inst/documents/publication/wcms_865332.pdf
- PricewaterhouseCoopers (PwC). (2021). AI Predictions 2021. Available at: https://www.pwc.tw/en/publications/bio-insights/precision-medicine.html
- PricewaterhouseCoopers (PwC). (2024). AI and productivity report. (2024). Available at: https://www.pwc.com/gx/en/issues/artificial-intelligence/wef-leveraging-generative-ai-for-job-augmentation-and-workforce-productivity-2024.pdf
- McKinsey Global Institute. (2017). A future that works: Automation, employment, and productivity. Available at: https://www.mckinsey.com/~/media/mckinsey/featured%20insights/digital%20disruption/harnessing%20automation%20for%20a%20future%20that%20works/mgi-a-future-that-works-full-report-updated.pdf
- McKinsey Global Institute. (2018). Notes from the AI frontier: applications and value of deep learning. Available at: https://www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-ai-frontier-applications-and-value-of-deep-learning
- McKinsey Global Institute. (2023). Generative AI and the future of work in America. Available at: https://www.mckinsey.com/mgi/our-research/generative-ai-and-the-future-of-work-in-america
- Braun, V. and Clarke, V. (2006). Using thematic analysis in psychology, Qualitative Research in Psychology, 3(2), pp. 77-101. Available at: https://doi.org/10.1191/1478088706qp063oa
- Creswell, J. W. and Creswell, J. D. (2017). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Los Angeles: Sage. Available at: https://us.sagepub.com/en-us/nam/research-design/book255675
- Easterby-Smith, M., Jaspersen, L. J., Thorpe, R. and Valizade, D. (2021). Management and Business Research. Sage. Available at: https://study.sagepub.com/easterbysmith7e
- Geertz, C. (1973). The Interpretation of Cultures. New York: Basic Books. Available at: https://www.basicbooks.com/titles/clifford-geertz/the-interpretation-of-cultures/9780465093557/