The Impact of Artificial Intelligence on Library Services and Information Retrieval

Abstract

This research examines the transformative impact of Artificial Intelligence on library services and information retrieval systems through comprehensive analysis of secondary data sources. The study systematically reviews existing literature, survey findings, and implementation reports to assess AI adoption patterns, operational improvements, and challenges in library environments, with particular focus on the Indian context. Secondary data analysis reveals that AI technologies are revolutionizing library operations through intelligent cataloguing systems, automated information retrieval, personalized recommendation engines, and virtual reference services. Key findings from existing surveys indicate that 78% of Indian library professionals demonstrate awareness of AI benefits, while only 12% have implemented AI solutions, creating significant growth potential. Budget constraints affect 52% of institutions, while technical expertise gaps impact 48% of libraries. User satisfaction improvements range from 79-85% across different AI applications, with efficiency gains of 33-52% in various operational areas. The research synthesizes data showing that South India leads in implementation (16%) and planning (42%) rates, reflecting regional technological disparities. Secondary sources confirm that natural language processing, machine learning algorithms, and semantic search technologies achieve 87-91% accuracy rates in information retrieval tasks. Despite implementation challenges including financial limitations, infrastructure constraints, and skill gaps, secondary data demonstrates AI's potential to enhance user experiences, streamline operations, and improve service delivery in Indian libraries, supporting the transition toward intelligent information systems