The focus of this chapter is to give a snapshot of the challenges intellectual capital and fast-developing AI bring to organisational operations. Knowledge management is the key when building intellectual capital and AI leads to high risks in developing the structural, human and relational capital components. The corruption of information together with deepfake technologies sets high demand on understanding and developing the IC assets and use of them in any organisation. The skill set needed includes new professions like prompt engineering, but also new types of actions ensuring data set integrity in using AI tools for enhancing the capabilities of analytics and especially synthesis of the organisation’s internal information (data sets and human knowledge). Using AI for organisational information intense services needs to be well traceable, e.g. due to liability issues which stem from misinformation generated by the AI, even if the original data sets would be non-corrupted in the first place. AI develops fast, and to have organisations grow into the use of it requires a clear development strategy for the take-up. When we understand the operative principles of AI systems and tools, we simultaneously will understand the role of verifying the quality of the AI implies in the IC of organisations, being a powerful tool to speed up the processes of using the multilayer IC in a safe(r) manner.