This study aims to detail the extent of development and implementation of generative AI technology for project management support in the financial services sector, focusing on the impacts of the practical underdevelopment gap phenomena toward realization of benefits in key project tasks of risk management, budget and resource allocation, and product or deliverables quality management. Utilizing qualitative methodologies, five semi-structured interviews were conducted with various financial project experts to uncover experiences and sentiments toward generative driven project management AI support tools in project practice. The analysis of findings discovered notable practical impacts were realized in specific subtopics of the project management areas studied, namely project tasks of risk identification and budgeting estimations. Generative AI project tools are conventionally applied as comparison and visualization tools, aiding in project team awareness throughout planning and improving efficiency through automated generation of general risk registers and preliminary budget and resource requirement documents. The findings further validate the necessity of human subjectivity as the driving factor of the practical implementation and academic research gap of project management generative AI.