Recent developments of Generative Technologies in the field of Artificial Intelligence (GenAI) have demonstrated substantial progress, particularly in the area of participating in a human driven dialogue in a meaningful manner and of representing knowledge without explicit modelling of knowledge, capturing its implicit and tacit nature as well. These developments open a wide range of new applications and for the first time in the development of IT-supported Knowledge Management (KM) it appears to be the case that GenAI is getting suitable for knowledge intensive tasks that were reserved for humans until now. In the light of these developments the established SECI model is being investigated with respect to the impact that GenAI could have on each of the four sectors and how human user and machines can interact in novel ways under the paradigm of the SECI model. Finally, some suggestions are made to enhance the model in order to reflect the current developments and maintain the expressive power of SECI in the age of Generative AI.