This work has investigated the convergence of the business paradigms of artificial intelligence, knowledge management, and emerging technologies. This work uses a relevant new database that considers the scientific literature on the field. The bibliometric methods used were related to the multiple correspondence analysis, which helped construct a conceptual map, and ensemble community detection clustering, which helped identify the relevant “cores” of the literature. As a relevant result, we found the key role of data-driven strategies but also the necessity of rethinking education and training. In fact, the rise of AI as a very relevant technology in knowledge management can impact how firms create and store knowledge. Of course, these changes necessitate adequate organizational changes to facilitate the integration with the systems, process, and, most, people.