The combination of Building Information Modeling (BIM) and Artificial Intelligence (AI) is transforming multi-disciplinary engineering project management through enhanced coordination, real-time decision-making, and productivity. While BIM has been used to coordinate information and co-design, it does not have predictive analytics and automation capabilities. AI introduces the potential for enhancing BIM benefits through automating tasks, optimizing resource utilization, and enhancing decision-making. This paper presents the impact of AI-based BIM compared to traditional BIM for engineering management based on actual case studies and the history of the strengths, weaknesses, and industry implications. Results confirm that the integration with AI improves productivity in project works, cost management, and stakeholders' coordination, which are lessons gained by digital engineering and construction management practitioners. The convergence of BIM and AI is transforming interdisciplinary engineering project management in the form of improved coordination, productivity, and timely decision-making. This study makes use of a desktop research methodology which combines a structured literature review, identified case study analysis and meta-analysis of secondary sources that are utilized to assess and compare how traditional BIM and BIM with integrated AI perform in managing multi-disciplinary projects.