Title: Rethinking knowledge management in an emerging AI landscape

Authors: Naveed Ul Haq; Abdul Rashid Kausar

Addresses: Office of Research Innovation and Commercialisation (ORIC), University of Management and Technology (UMT), Lahore, Pakistan ' Department of Management, Dr Hasan Murad School of Management (HSM), University of Management and Technology (UMT), Lahore, Pakistan

Abstract: In today's context, rethinking knowledge management (KM) from the artificial intelligence (AI) perspective is necessary for organisations to gain a competitive advantage by adopting different innovative techniques and strategies. This conceptual study will discuss the dynamic interplay between KM and AI in modern organisational structures and processes. It explores how AI transforms traditional KM practices, focusing on AI's ability to automate knowledge discovery, enhance decision-making, and foster innovation and collaboration. The results show that integrating AI into KM is crucial to organisational efficiency, productivity, and competitiveness. It further highlights the challenges and opportunities of this integration, emphasising the importance of ethical considerations, data privacy, and user trust. Further, we examined the different case studies and real-world examples of organisations (IBM Watson, Microsoft SharePoint, SAP, Deloitte, and Siemens) that successfully implemented AI with KM systems. Finally, it proposes strategies for organisations to manage AI technologies within their KM frameworks.

Keywords: knowledge management; KM; artificial intelligence; AI; AI landscape; AI-driven systems.

DOI: 10.1504/IJKMS.2026.153875

International Journal of Knowledge Management Studies, 2026 Vol.17 No.2, pp.148 - 171

Received: 26 Feb 2024
Accepted: 11 Dec 2024
Published online: 29 May 2026 *

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