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

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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
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article

The Impact of AI on Employment and Job Security: A Case Study of Palghar City

Zenodo (CERN European Organization for Nuclear Research)
Cyberloafing and Workplace Behavior
article

The Impact of AI on Employment and Job Security: A Case Study of Palghar City

article en

Abstract

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

Zenodo (CERN European Organization for Nuclear Research)
Department of Commerce (AU)
Quality Education
Openalex Percentile: Top 31%
Cyberloafing and Workplace Behavior
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The Impact of AI on Employment and Job Security: A Case Study of Palghar City · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS