IDEAS home Printed from https://ideas.repec.org/a/ine/journl/v59y2024i68p48-71.html
   My bibliography  Save this article

The transformative role of AI in reshaping employment trends across South Asia

Author

Listed:
  • Md. Azizur RAHMAN

    (East West University,Dhaka,Bangladesh)

  • Salma AKTER

    (East West University,Dhaka,Bangladesh)

Abstract

Background: The worldwide spread of AI alone, reaching 132.2 billion dollars in 2022, showed the disruptive potential of the technology. According to forecasts, by 2030, AI would create 800 million and erase 730 million jobs, hence calling for a deeper analysis of how AI is changing work. AI-related jobs naturally increased 338% relative to 2015-2020, given that by 2025, half of the workforce would have to be upskilled to keep in step with the improvement of AI. Objective: The influence of AI on job patterns will be analyzed in this research, focusing on the delicate balance between job creation and job displacement. Considering these processes, we will be guiding stakeholders toward solutions supportive of both innovation and adaptability. Methodology: This would explicitly follow a mixed-methods approach that combines quantitative data, such as industry reports and surveys, with in-depth qualitative interviews with regional specialists, experts, and key informants across South Asia, to bring into view critical emergent patterns in the areas of AI investment, adoption rates, job creation, and displacement, and any skill transfers that may be occurring. Results: AI-driven job creation, displacement, and skill transition exhibit a buoyant landscape in South Asia. Automation-induced job losses are widespread but generally compensated for new opportunities, especially in IT, manufacturing, and health. India creates more IT jobs than it loses in traditional manufacturing. Experts support the reskilling projects in Pakistan, Bangladesh, and Nepal. Sri Lanka's focus on AI in tourism creates new jobs and ameliorates the loss somewhere else. These findings raise the need for South Asian governments to make necessary investments in training programs that are matched to global trends. Originality: This research is unique because it leads an investigation into why skeptics consider slow AI adoption in South Asia, and it further creates valuable insights into the global implications of AI.

Suggested Citation

  • Md. Azizur RAHMAN & Salma AKTER, 2024. "The transformative role of AI in reshaping employment trends across South Asia," Romanian Journal of Economics, Institute of National Economy, vol. 59(2(68)), pages 48-71, December.
  • Handle: RePEc:ine:journl:v:59:y:2024:i:68:p:48-71
    as

    Download full text from publisher

    File URL: http://www.revecon.ro/articles/2024-2/2024-2-4.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gust, Sarah & Hanushek, Eric A. & Woessmann, Ludger, 2024. "Global universal basic skills: Current deficits and implications for world development," Journal of Development Economics, Elsevier, vol. 166(C).
    2. Rafael Novella & David Rosas-Shady & Alfredo Alvarado, 2023. "Are we nearly there yet? New technology adoption and labor demand in Peru," Science and Public Policy, Oxford University Press, vol. 50(4), pages 565-578.
    3. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
    4. Atkins, Rachel M.B. & Hernández-Lagos, Pablo & Jara-Figueroa, Cristian & Seamans, Robert, 2023. "JUE Insight: What is the impact of opportunity zones on job postings?," Journal of Urban Economics, Elsevier, vol. 136(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiangyi Li & Qing Wang & Ying Tang, 2024. "The Impact of Artificial Intelligence Development on Urban Energy Efficiency—Based on the Perspective of Smart City Policy," Sustainability, MDPI, vol. 16(8), pages 1-22, April.
    2. Yang Shen, 2024. "Future jobs: analyzing the impact of artificial intelligence on employment and its mechanisms," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-33, April.
    3. Cao, Sean & Jiang, Wei & Wang, Junbo & Yang, Baozhong, 2024. "From Man vs. Machine to Man + Machine: The art and AI of stock analyses," Journal of Financial Economics, Elsevier, vol. 160(C).
    4. Chen, Pengyu & Chu, Zhongzhu & Zhao, Miao, 2024. "The Road to corporate sustainability: The importance of artificial intelligence," Technology in Society, Elsevier, vol. 76(C).
    5. Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2024. "AI adoption in America: Who, what, and where," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 375-415, March.
    6. Cong Cheng & Zefeng Miao, 2025. "Leveraging digital connectivity for innovation performance: a fsQCA study on Chinese high-tech manufacturing firms," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
    7. Kai Feng & Han Hong, 2024. "Statistical Inference of Optimal Allocations I: Regularities and their Implications," Papers 2403.18248, arXiv.org, revised Apr 2024.
    8. Sarah Gust & Eric A. Hanushek & Ludger Wößmann, 2024. "Globale Bildungsdefizite: Wie fehlende Grundkompetenzen Entwicklungschancen hemmen," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 77(01), pages 31-34, January.
    9. Pritchett, Lant, 2024. "Investing in Human Capital in Africa: A framework for research," International Journal of Educational Development, Elsevier, vol. 107(C).
    10. Pritchett, Lant, 2024. "Investing in human capital in Africa: a framework for research," LSE Research Online Documents on Economics 123655, London School of Economics and Political Science, LSE Library.
    11. Antonio Minniti & Klaus Prettner & Francesco Venturini, 2024. "Unslicing the pie: AI innovation and the labor share in European regions," Department of Economics Working Papers wuwp369, Vienna University of Economics and Business, Department of Economics.
    12. Fossen, Frank M. & McLemore, Trevor & Sorgner, Alina, 2024. "Artificial Intelligence and Entrepreneurship," IZA Discussion Papers 17055, Institute of Labor Economics (IZA).
    13. Roberts, Deborah L. & Candi, Marina, 2024. "Artificial intelligence and innovation management: Charting the evolving landscape," Technovation, Elsevier, vol. 136(C).
    14. Jiao, Anqi & Lu, Juntai & Ren, Honglin & Wei, Jia, 2024. "The role of AI capabilities in environmental management: Evidence from USA firms," Energy Economics, Elsevier, vol. 134(C).
    15. Chen, Jia & Wang, Ning & Lin, Tongzhi & Liu, Baoliu & Hu, Jin, 2024. "Shock or empowerment? Artificial intelligence technology and corporate ESG performance," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 1080-1096.
    16. Xavier Gabaix & Ralph S J Koijen & Robert Richmond & Motohiro Yogo, "undated". "Artificial intelligence and big holdings data: Opportunities for central banks," BIS Working Papers 1222, Bank for International Settlements.
    17. Saam Marianne, 2024. "The Impact of Artificial Intelligence on Productivity and Employment – How Can We Assess It and What Can We Observe?," Intereconomics: Review of European Economic Policy, Sciendo, vol. 59(1), pages 22-27, February.
    18. Gathmann, Christina & Kagerl, Christian & Pohlan, Laura & Roth, Duncan, 2024. "The pandemic push: Digital technologies and workforce adjustments," Labour Economics, Elsevier, vol. 89(C).
    19. Luca Grilli & Sergio Mariotti & Riccardo Marzano, 2024. "Artificial intelligence and shapeshifting capitalism," Journal of Evolutionary Economics, Springer, vol. 34(2), pages 303-318, April.
    20. Zhao, Zhiqi & Yue, Yong & Wang, Wangshuai, 2024. "Unintended consequences of tax incentives on firms' human capital composition: Evidence from China," China Economic Review, Elsevier, vol. 84(C).

    More about this item

    Keywords

    Artificial Intelligence; Job displacement; Job creation; South Asia; Quantitative analysis;
    All these keywords.

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ine:journl:v:59:y:2024:i:68:p:48-71. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Valentina Vasile (email available below). General contact details of provider: https://edirc.repec.org/data/inacaro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.