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Research Paper Volume 8 Issue 4 2299 - 2308 August 27, 2025

The Transformative Impact of AI and Automation on Employment Patterns: An Analysis of Workforce Adaptation, Skills Demand, and Socioeconomic Inequality in the Digital Age

Lead author · Corresponding
Intekhab Alam
Student at Aligarh Muslim University, India
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.1110689
Abstract

The Rapid advancement of artificial intelligence (AI) and automation technologies is fundamentally altering employment patterns across the globe. This study investigates the multifaceted impact of these technologies on the labour market, focusing on workforce adaptation, evolving skills demand, and the widening socioeconomic inequalities in the digital era. While automation threatens to displace millions of routine jobs, it simultaneously generates new opportunities requiring advanced technical and cognitive skills. The research explores how workers and organizations adjust to these changes through reskilling and upskilling initiatives, as well as the role of policy frameworks in shaping equitable labour market outcomes. By analysing sectoral variations and demographic disparities, this paper highlights the challenges and opportunities presented by the ongoing digital transformation. The findings underscore the need for comprehensive strategies to foster inclusive growth, mitigate inequality, and prepare the workforce for the demands of a technology-driven future.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 8, Issue 4, Page 2299 - 2308
DOI: https://doij.org/10.10000/IJLMH.1110689
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CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
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Copyright © IJLMH 2026
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The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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