International Journal of Technology and Applied Science

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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 17 Issue 3 (March 2026) Submit your research before the last 3 days of this month to publish your research paper in the current issue.

Artificial Intelligence and the Future of Employment: A Sociological Perspective

Author(s) Dr. K. M. Desai
Country India
Abstract Artificial Intelligence (AI) represents one of the most transformative technological developments of the 21st century. Unlike previous technological revolutions that primarily replaced manual labour, AI increasingly substitutes cognitive and decision-making tasks, fundamentally altering labour markets and social structures. This study examines the sociological implications of AI on employment patterns, focusing on job displacement, job transformation, skill polarisation, inequality, and changing work identities. Drawing upon functionalism, conflict theory, and symbolic interactionism, the research interprets AI-driven labour market transformation as a structural social change rather than merely a technological upgrade. Using qualitative secondary data analysis from global labour reports, academic literature, and policy documents, the paper finds that AI generates both opportunities and risks. While it enhances productivity and creates high-skilled employment, it simultaneously deepens socio-economic inequality, weakens labour security, and restructures occupational hierarchies. The study concludes that the future of employment depends not solely on technological innovation but on governance, education systems, and social policy interventions.
Keywords Artificial Intelligence, Employment, Automation, Technological Change, Labour Market, Social Inequality, Sociology of Work
Field Sociology
Published In Volume 17, Issue 3, Array 2026
Published On 2026-03-06
Cite This Artificial Intelligence and the Future of Employment: A Sociological Perspective - Dr. K. M. Desai - IJTAS Volume 17, Issue 3, Array 2026.

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