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Artificial Intelligence and Economic Transformation: Implications for Growth, Employment, and Policy in the Digital Age

Author

Listed:
  • Shaukat, Hira
  • Ali, Amjad
  • Audi, Marc

Abstract

The rapid advancement of Artificial Intelligence (AI) has significantly influenced various industries, labor markets, and government institutions across the globe. This study explores the multifaceted impact of AI on economic growth, employment, and workforce skills. Drawing on sectoral data and comparative literature, the paper analyzes how AI-driven technologies shape growth and labor outcomes. While technological progress creates new opportunities for individuals equipped with advanced skills, it simultaneously displaces traditional, routine-based jobs, resulting in potential unemployment for less adaptable segments of the workforce. The study emphasizes the critical role of governance in addressing the challenges posed by AI and underscores the importance of proactive policy measures to ensure inclusive growth. It further explores the potential of AI in education, particularly in developing countries, where its integration can enhance students' employability skills. However, challenges such as affordability, ethical concerns, and overdependence on technology are also highlighted. The paper advocates for increased investment in reskilling initiatives, AI literacy programs, and the development of adaptive governance structures to facilitate the equitable integration of AI technologies. Overall, the findings offer strategic guidance for policymakers to design adaptive governance structures and reskilling programs.

Suggested Citation

  • Shaukat, Hira & Ali, Amjad & Audi, Marc, 2025. "Artificial Intelligence and Economic Transformation: Implications for Growth, Employment, and Policy in the Digital Age," MPRA Paper 127488, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:127488
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    References listed on IDEAS

    as
    1. Fiaz Ahmad Sulehri & Amjad Ali, 2024. "Nexus among Regulatory Framework, Economic Growth and Sustainable Development: Insights from Structural Equation Modeling Approach," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(1), pages 110-117.
    2. Ali, Amjad, 2022. "Financial Liberalization, Institutional Quality and Economic Growth Nexus: Panel Analysis of African Countries," MPRA Paper 116101, University Library of Munich, Germany.
    3. Ali, Amjad & Sumaira, Sumaira & Siddique, Hafiz Muhammad Abubakar & Ashiq, Saima, 2023. "Impact of Economic Growth, Energy Consumption and Urbanization on Carbon Dioxide Emissions in the Kingdom of Saudi Arabia," MPRA Paper 118832, University Library of Munich, Germany.
    4. Audi, Marc & Ali, Amjad & Fayad Hamadeh, Hani, 2022. "Nexus among innovations, financial development and economic growth in developing countries," MPRA Paper 115220, University Library of Munich, Germany.
    5. Howitt, Peter & Aghion, Philippe, 1998. "Capital Accumulation and Innovation as Complementary Factors in Long-Run Growth," Journal of Economic Growth, Springer, vol. 3(2), pages 111-130, June.
    6. Paul M. Romer, 1994. "The Origins of Endogenous Growth," Journal of Economic Perspectives, American Economic Association, vol. 8(1), pages 3-22, Winter.
    7. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    8. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    9. Muhammad Waqas Khan & Mehmet Akif Destek & Zeeshan Khan, 2025. "Income Inequality and Artificial Intelligence: Globalization and age dependency for developed countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 176(3), pages 1207-1233, February.
    10. Zirar, Araz & Ali, Syed Imran & Islam, Nazrul, 2023. "Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and research agenda," Technovation, Elsevier, vol. 124(C).
    11. Jorzik, Philip & Klein, Sascha P. & Kanbach, Dominik K. & Kraus, Sascha, 2024. "AI-driven business model innovation: A systematic review and research agenda," Journal of Business Research, Elsevier, vol. 182(C).
    12. Meiling Wang & Silu Pang & Ikram Hmani & Ilham Hmani & Cunfang Li & Zhengxia He, 2021. "Towards sustainable development: How does technological innovation drive the increase in green total factor productivity?," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(1), pages 217-227, January.
    13. Stepan Zemtsov, 2020. "New technologies, potential unemployment and ‘nescience economy’ during and after the 2020 economic crisis," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(4), pages 723-743, August.
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    Keywords

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    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

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