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Artificial Intelligence (AI) adoption accelerated rapidly between 2023–2025. Organizations across industries deploy generative AI, automation, and decision-support systems to boost productivity and reduce costs. This paper examines the evidence that AI is reshaping employment across sectors — sometimes creating new roles but also displacing existing ones — and uses company-level case studies (TCS, Infosys, Google/Alphabet, Walmart, Disney, and real time survey data) to map these dynamics. India, with a large IT workforce and rising AI adoption, faces both significant opportunity and risk: while AI could add hundreds of billions to GDP, it could also cause structural job displacements in business process roles and routine software services. Using mixed-methods evidence (news reports, government documents, industry studies), I analyse which job families are most vulnerable, estimate likely transition challenges for Indian workers, and propose a comprehensive policy and enterprise roadmap: large-scale reskilling (national AI training, apprenticeships), incentives for human-in-the-loop AI deployment, social safety nets, localized employment transition plans, and university–industry partnerships. Concrete short-term, medium-term, and long-term interventions are provided with suggested metrics for monitoring. The paper concludes that managed AI adoption — combining rapid skill upgrades, regulatory safeguards, and incentivized job creation — can convert disruption into inclusive growth rather than mass unemployment.
Keywords:
Artificial Intelligence (AI), Job Displacement, Workforce Transformation, Employment Automation, AI-Driven Layoffs, Technological Unemployment, Upskilling and Reskilling, Labor Market Disruption, India IT Sector, Digital Transformation, Future of Work, Machine Learning, Job Creation, Skills Gap, Economic Impact, Generative AI, Human Capital Development, Industry 4.0, Workforce Adaptation, Employment Policy, AI Ethics, Career Transition, Skill Development, Labor Economics.
Cite Article:
"Will Artificial Intelligence Impact Employment In The Future", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 12, page no.b1-b21, December-2025, Available :http://www.ijrti.org/papers/IJRTI2512101.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator