## 1 Introduction  
The worldwide COVID-19 pandemic highlighted the need to rethink existing working methods and approaches and has intensified the vulnerabilities of the industries, showing that more human-centric and sustainable solutions are required. The current transition from the \"old normal\" to the \"new normal\" can be observed as an opportunity to reshape and renew the role of the industry in society. In this context, the emerging Industry 5.0 concept was released [1].  
Industry 5.0 is based on Industry 4.0, which was first defined in Germany in 2011 as part of the country's high-tech strategy. Industry 4.0's principles are the integration of digital technologies for automation and data exchange in the manufacturing process; that is, it combines production methods with information and communication technologies such as Artificial Intelligence (AI). Furthermore, Industry 5.0 pursues to leverage the potential of technologies, such as advanced digitalization, AI and big data (BD), in the same way Industry 4.0 does, but deploying solutions for a more human-centric, sustainable, and resilient industry.  
[PERSON] et al. [1] point out that AI is one of the enabling technologies that will help shift to Industry 5.0; however, AI is not a new field. After World War II, several people started working on intelligent machines. [PERSON] may have been the first person researching AI in as early as 1947 [2]. Since then, AI has had several tops and downs and nowadays is in a new type phase. For instance, AI is being used in novel scenarios such as the COVID-19 pandemic for the early detection and diagnosis of patients and in the development of drugs and vaccines [3].  
It is important to note that it is not only manufacturing processes that will benefit from the application of new technologies: business procedures such as project management (PM)that are crucial in the daily operation of an organization are also expected to benefit from them. In fact, cutting-edge PM trends focus on the use of AI at work. PMI [4] discusses the role of AI in PM, highlighting that AI changes the types of projects being delivered and also how they are managed. Although such reports highlight that project leaders say that AI technologies are encouraging PM productivity and enhancing the quality of work, there are no studies covering this topic in the literature that focus on the analysis of AI techniques in the different PM performance domains (PDs) [5]. So, the question arises as to how AI will be able to boost PMPDs and procedures; and thus how the literature will develop to this end.  
To the best of our knowledge, there has been no systematic literature review (SLR) of the application of AI technologies in PMPDs, which are introduced in the Project Management Body of Knowledge 7 th edition (PMBOK7). Therefore, the goal of this paper is to explore the role of AI in emerging PM by analyzing the literature based on the PMPDs. This novel approach has not been previously explored in the literature, and our review provides insights into how AI techniques can be aligned with each of the PMPDs to enhance project performance. This unique contribution sets our paper apart from previous literature reviews.  
The rest of the paper is organized as follows. Section 2 provides an introduction to AI technologies and cutting-edge PM techniques. Then, in Section 3, the methodology conducted in this research is described, and in Section 4, the bibliometric analysis and the literature review are developed. Later, Section 5 discusses the findings obtained, and, finally, in Section 6, the conclusions of the paper are given.