• Dr Gatla Krishna Reddy
• Dr M.Deepthi Reddy

Artificial Intelligence (AI) is rapidly transforming various sectors, including knowledge, library, and evidence services. This article explores the dual nature of AI adoption in these domains, analyzing both its significant benefits and the considerable obstacles to successful integration. We delineate how AI enhances knowledge management through automated content organization, sophisticated data synthesis, and improved decision-making. In library services, AI innovations revolutionize user experience via intelligent search engines, automated cataloging, and optimized workflows. Furthermore, AI advances evidence-based practices by improving data accessibility, facilitating complex analysis, and enhancing the precision of research findings. While acknowledging these profound opportunities for efficiency, accuracy, and innovation, the paper critically examines key challenges. These include the complexities of integrating AI into existing infrastructures, the imperative for workforce upskilling, substantial financial investments, paramount concerns regarding data privacy, and the critical need to mitigate algorithmic bias. We argue that realizing AI's full potential in these vital sectors demands a balanced, proactive approach that strategically addresses these obstacles, ensuring ethical governance and continuous adaptation to harness AI as a beneficial tool for information management and dissemination.

Artificial Intelligence, Knowledge Services, Library Services, Evidence-Based Practices, AI Integration, Benefits, Obstacles, Data Privacy, Algorithmic Bias, Workforce Upskilling.

"AI INTEGRATION IN KNOWLEDGE, LIBRARY, AND EVIDENCE SERVICES: BENEFITS AND OBSTACLES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.281-284, February-2026, Available :http://www.jetir.org/papers/JETIRHJ06056.pdf

"AI INTEGRATION IN KNOWLEDGE, LIBRARY, AND EVIDENCE SERVICES: BENEFITS 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. pp281-284, February-2026, Available at : http://www.jetir.org/papers/JETIRHJ06056.pdf