NAVIGATING THE FUTURE OF WORK: STRATEGIES FOR WORKFORCE TRANSFORMATION IN THE AGE OF AUTOMATION AND ARTIFICIAL INTELLIGENCE

Authors

  • Dr. N. C Martin Assistant Professor, Department of Business Administration, Loyola College ( Autonomous ) Chennai- 600 034

DOI:

https://doi.org/10.29121/ijetmr.v12.i(4SE).2025.1581

Keywords:

Artificial Intelligence, Workforce Transformation, Automation

Abstract

The rapid evolution of automation and artificial intelligence (AI) is driving a monumental transformation in the global workforce. These advancements have revolutionized industries by improving productivity and innovation but have also posed challenges like job displacement, skill mismatches, and organizational inertia. This paper explores the drivers and dynamics of workforce transformation through a mixed-methods approach. Data collected from 500 business leaders and interviews with 20 HR experts underscore the urgency for strategic workforce planning, re-skilling initiatives, adaptive organizational designs, and effective change management. We propose a comprehensive framework to equip organizations to navigate this evolving landscape effectively. By integrating workforce agility, talent development, and proactive planning, the framework provides a road map to achieve resilience and sustainability in an AI-driven world.

Downloads

Download data is not yet available.

References

Autor, D. H. (2015). Why Are There Still So Many Jobs? the History and Future of Workplace Automation. Journal of Economic Perspectives, 29(3), 3–30. https://doi.org/10.1257/jep.29.3.3

Bessen, J. (2019). AI and Jobs: the Role of Demand. Economics of Artificial Intelligence, 2(3), 1–14. https://doi.org/10.3386/w24235

Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in A Time of Brilliant Technologies. W.W. Norton & Company.

Deloitte Insights. (2020). Global Human Capital Trends 2020: the Social Enterprise At Work. Deloitte University Press.

Frey, C. B., & Osborne, M. A. (2017). The future of Employment: How Susceptible Are Jobs To Computerisation? Technological Forecasting and Social Change, 114, 254–280. https://doi.org/10.1016/j.techfore.2016.08.019

Kaplan, J. (2016). Humans Need Not Apply: A Guide To Wealth And Work in the Age of Artificial Intelligence. Yale University Press.

Manyika, J., Chui, M., Bughin, J., Dobbs, R., Bisson, P., & Marrs, A. (2017). A Future That Works: Automation, Employment, and Productivity. McKinsey Global Institute.

McKinsey Global Institute. (2017). Jobs Lost, Jobs Gained: What the Future of Work Will Mean for jobs, Skills, and Wages.

OECD. (2019). Preparing for the Future of Work in the Digital Age. Organization for Economic Co-operation and Development.

World Economic Forum. (2018). The Future of jobs report 2018. World Economic Forum.

Downloads

Published

2025-04-30

How to Cite

N. C Martin. (2025). NAVIGATING THE FUTURE OF WORK: STRATEGIES FOR WORKFORCE TRANSFORMATION IN THE AGE OF AUTOMATION AND ARTIFICIAL INTELLIGENCE. International Journal of Engineering Technologies and Management Research, 12((4SE), 40–47. https://doi.org/10.29121/ijetmr.v12.i(4SE).2025.1581