• RAVICHADAR RAO.VADDE

Institutional Repositories (IRs) serve as crucial platforms for preserving and disseminating scholarly output, yet they often face challenges related to content ingestion, discoverability, metadata quality, and user engagement. This article explores the transformative potential of Artificial Intelligence (AI) in revolutionizing IR operations and enhancing their value proposition. We analyze key prospects, including AI-driven automation of metadata creation and enrichment, intelligent content recommendation systems, enhanced semantic search capabilities, automated quality control for submissions, and advanced analytics for usage patterns. These AI applications promise to significantly improve efficiency, discoverability, and the overall user experience within IRs. However, the widespread adoption of AI in this domain is not without obstacles. Critical challenges include the high cost of AI implementation, the need for robust and high-quality training data, concerns regarding data privacy and security, the potential for algorithmic bias in content processing, and the necessity for upskilling library professionals. We argue that while AI offers unprecedented opportunities to elevate IRs from passive archives to dynamic, intelligent knowledge hubs, its successful integration requires strategic planning, ethical governance, and a balanced approach that leverages AI's strengths while mitigating its inherent risks.

Artificial Intelligence, Institutional Repositories, Digital Preservation, Scholarly Communication, Metadata Automation, Semantic Search, AI in Libraries, Obstacles, Prospects.

"USING ARTIFICIAL INTELLIGENCE TO REVOLUTIONISE INSTITUTIONAL REPOSITORIES: PROSPECTS AND OBSTACLES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.166-170, February-2026, Available :http://www.jetir.org/papers/JETIRHJ06035.pdf

"USING ARTIFICIAL INTELLIGENCE TO REVOLUTIONISE INSTITUTIONAL REPOSITORIES: PROSPECTS AND OBSTACLES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. pp166-170, February-2026, Available at : http://www.jetir.org/papers/JETIRHJ06035.pdf