The Impact of AI on Employment and Job Security: A Case Study of Palghar City
Abstract Purpose: The rapid integration of artificial intelligence (AI) into the workforce is reshaping job markets globally. This study examines the impact of AI on employment and job security in Palghar City, focusing on workforce perceptions and preparation for AI-driven changes. Design/Methodology/Approach: Primary Data was collected from 100 participants adopting Simple Random Sampling Method in Palghar City. Secondary data from government reports and industry studies supplemented the analysis. Data was interpreted using percentage analysis. Findings: The study revealed that 61% of respondents believe their jobs are likely to be impacted by AI within a decade. While 54% recognized the critical need for upskilling, only 30% reported accessible reskilling opportunities. Sector-wise, manufacturing and clerical roles were perceived as most vulnerable. Despite low AI familiarity and 37% expected government intervention to mitigate job losses. Research Limitations: The study is limited to Palghar City and a relatively small sample size (N=100). Research Implications: The findings underscore the urgent need for localized reskilling programs and AI literacy campaigns. Educational institutions and policymakers must prioritize digital skill development and equitable access to training resources to align with AI-driven labor market demands. Paper Type: Research Paper
Institutions
- Department of Commerce (AU)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-30
- DOI
- https://doi.org/10.5281/zenodo.15826468
- Primary Topic
- Cyberloafing and Workplace Behavior
- Type
- article
- Field-Weighted Citation Impact
- 0.00