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The chapter consists of a systematic literature review (SLR) combined with the data analysis of the publicly available data of secondary cases. Whereas the above section was more theoretical and grounded on academic research, the following extended review adds realistic applications to the theory, i.e. case studies, to provide a practical perspective on the subject of how artificial intelligence (AI) dictates project management. A blend of the theoretical and practical understanding can offer the complete image of what AI is, where its benefits and dangers hide, and how it can impact morals in the course of the project implementation. The review follows PRISMA approach but regarding the enrichment, it is complemented with qualitative synthesis of secondary data in the form of white papers, industry case reports, company releases and reports and incoming information of trustworthy sources such as Statista, McKinsey, Deloitte, IBM, PMI, and Reuters. All in all, this juxtaposition of an SLR framework allows supporting the relevance of the dissertation in practice and contributing to bridging the theory-practice gap.