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Paper Title

Bridging the Skills Gap: Reskilling and Upskilling India's Workforce for the AI Revolution

Keywords

  • Artificial Intelligence
  • technical expertise
  • soft skills
  • manufacturing
  • healthcare
  • finance
  • agriculture

Article Type

Research Article

Issue

Volume : 2 | Issue : 7 | Page No : IJLRA8868

Published On

December, 2024

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Abstract

Abstract The rapid advancement of Artificial Intelligence (AI) is transforming industries across the globe, including in India, where a large, young workforce offers both opportunities and challenges. To harness the potential of AI and automation, India must address the growing skills gap between the capabilities of its workforce and the demands of AI-driven sectors. This article explores the need for reskilling and upskilling India's workforce to prepare for the AI revolution. Reskilling involves teaching workers new skills to transition into roles that AI and automation have created, while upskilling enhances the existing skills of workers to adapt to new technologies. The article examines the current skills gap in India, including the lack of advanced technical expertise, limited soft skills, and regional disparities. It also highlights key initiatives such as the government's National AI Strategy, Skill India Mission, and collaborations with private sector companies to build AI competencies. Further, the article discusses industry-specific skill requirements in sectors like manufacturing, healthcare, finance, agriculture, and education, each of which requires tailored approaches for effective workforce transformation. Despite the potential challenges in scaling these efforts, such as cost, accessibility, and the need for continuous learning, the article emphasizes the importance of creating a robust ecosystem of government policies, corporate initiatives, and educational reforms. By bridging the skills gap, India can unlock the full potential of AI, ensuring its workforce is equipped to thrive in the digital economy and contribute to global AI leadership. Key words: Artificial Intelligence, technical expertise, soft skills, manufacturing, healthcare, finance, agriculture, and education.

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