The Effects of AI-Driven Automation on Job Roles, Employment Rates, and the Future Skills Landscape across Industries
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V4I4P111Keywords:
AI-Driven Automation, Employment Transformation, Future Skills, Industrial Restructuring, Digital Workforce, Reskilling, UpskillingAbstract
The automation of the world’s labor markets through artificial intelligence (AI) is changing the occupational structure, altering employment patterns, and accelerating demand for new skills. In this paper, the researcher will describe the multidimensional impact of automation on industries within a conceptual and literature-based framework, synthesized from recent studies by the OECD, ILO, McKinsey, and the World Economic Forum. The discussion examines the effect of automation, which has not only increased productivity but also replaced routine jobs, bringing about a structural change in hybrid human-machine work. It is found that as low- and medium-skilled work is more vulnerable to automation, new skills are emerging in digital, cognitive, and creative areas that emphasize flexibility and lifelong reskilling. The article also mentions the sector’s asymmetries, pointing to significant change in manufacturing, finance, healthcare, and education. It concludes with a conceptual framework that connects the intensification of automation, employment elasticity, and skill transformation, offering insights for policymakers and organizational executives as they navigate the evolving future of work
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