Opportunities in AI-powered Knowledge Sharing

Artificial intelligence (AI) is transforming knowledge sharing (KS) from static repositories into adaptive, intelligent ecosystems. By leveraging machine learning (ML), natural language processing (NLP), and knowledge graphs, AI enhances accessibility through translation and summarisation, accelerates retrieval via semantic search and chatbots, and fosters collaboration by identifying expertise and recommending connections. It also generates real-time insights by continuously analysing organisational data. Examples such as LinkedIn’s AI-powered knowledge graph and applications in customised learning, customer engagement, and digital twins demonstrate how AI improves innovation, agility, and cross-functional knowledge flows. Emerging opportunities include conversational AI, immersive AR/VR knowledge transfer, and knowledge-as-a-service (KaaS), with federated learning and hyper-personalised KS shaping the future. However, these benefits depend on robust governance, including privacy protection, bias mitigation, and organisational change management, to ensure trust and ethical use. This chapter highlights AI’s potential to create smarter, more connected, and resilient organisations while keeping human oversight central.