International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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AI-Driven Upskilling for Rural Youth in India: A Systematic Literature Review

Author(s) Dr. Selvamani R, Prof. Dr. Mangaleswaran R
Country India
Abstract Background: Rural youth make up 70 % of India’s population, yet they remain excluded from many modern jobs because of long standing deficits in quality education, vocational training and digital infrastructure. As artificial intelligence (AI) accelerates automation and digitization, it simultaneously threatens low skilled employment and creates opportunities for adaptive learning platforms and remote mentorship. A persistent rural urban divide in digital literacy and internet access complicates the uptake of such technologies.

Review: The literature indicates a split between digital and sector specific upskilling initiatives. Digital platforms such as the India Digital Hub use AI powered recommendation engines to personalize learning and better align training with labor market needs. Sectoral programs, including agropreneurship and vocational education, incorporate AI tools for precision agriculture but struggle with outdated curricula and social biases that favour white collar work. Studies emphasize that without systemic interventions, AI benefits may remain unevenly distributed and leave rural youth vulnerable to cyclical unemployment.

Methodology: This review followed PRISMA guidelines and searched five databases (IEEE Xplore, Scopus, ACM Digital Library, Web of Science and Google Scholar) using clustered keywords around AI technologies, skill development, rural youth and the Indian context. The initial search produced 823 records; after removing duplicates and irrelevant entries, 433 remained. Title and abstract screening excluded 326 studies, leaving 73 for full text review. Ultimately, 15 studies met the inclusion criteria.

Results: AI driven platforms show promise in bridging geographical barriers and tailoring learning to local labour markets. However, their success depends on reliable connectivity, vernacular content and community-based mentorship. Sector specific initiatives demonstrate the potential of AI in precision agriculture but are hampered by access to capital and entrenched perceptions about vocational careers. Across studies, there is consensus that scalable models must connect localized training with evolving labour market demands.

Conclusion: AI can transform rural workforce development but may also deepen inequalities if implemented without attention to digital literacy, infrastructure and sociocultural context. Vernacular AI tools and hybrid learning models offer inclusive potential, yet effective deployment requires ethical frameworks, participatory design and flexible policies that accommodate regional diversity. Future research should prioritise longitudinal studies and subnational analyses to inform targeted interventions.
Keywords AI-driven upskilling, Rural youth, Employment, Digital literacy, Systematic Literature Review
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-07
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.62994
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