The purpose of this chapter is to analyze the challenge of artificial knowledge on knowledge management systems. Artificial knowledge is an emergent concept that was developed after the generation of humanlike dialogue through Generative AI (GenAI) applications. It is a result of the machine learning processes and of using Large Language Models (LLMs). Artificial knowledge is generated by algorithms using syntactic rules that make it different than human knowledge. Artificial knowledge is exclusively rational, and it has no relevance with respect to truth, like human knowledge. Artificial knowledge is now a component of knowledge fields within any knowledge management system, and it challenges almost all knowledge processes. However, artificial knowledge cannot influence tacit knowledge creation and its transformation into explicit knowledge. Artificial knowledge influences processes based on explicit knowledge and routine decision-making processes. The most important challenge for the knowledge managers is how to integrate human knowledge and artificial knowledge within a knowledge management system.