Artificial intelligence (AI) is increasingly integrated into organizational processes, especially in knowledge management. This chapter explores knowledge sharing in the context of AI adoption. The core question addressed is whether AI can genuinely support the transfer of knowledge in its complexity or only in its explicit form. Through a conceptual analysis, the chapter investigates how AI processes explicit, or codified knowledge, efficiently but encounters significant limitations in handling tacit knowledge, which is experiential, contextual, and often difficult to articulate. The discussion highlights AI’s potential to complement, but not replace, human contributions in knowledge sharing. While AI tools enhance access to structured knowledge and support decision-making, the full transmission of tacit knowledge still requires human judgment, intuition, and contextual understanding. The chapter contributes to the broader discourse on digital transformation by clarifying AI’s role in organizational knowledge processes and emphasizing the importance of human–AI complementarity. It underscores the idea that the true value of AI lies in augmenting human capabilities rather than replicating them, proposing a hybrid approach to knowledge management that balances technological efficiency with human insight.