2025, Vol. 8, Issue 1

From an organizational perspective, resistance to change, lack of AI literacy among project professionals, and legacy infrastructure further complicate AI adoption. Many project teams are unprepared to integrate AI tools into existing workflows, leading to underutilization or outright rejection of these technologies. Additionally, the skill gap in AI-related competencies poses a major constraint, as project managers and team members often lack the technical knowledge required to effectively interpret or leverage AI-driven insights. Ethical considerations also play a critical role. Questions around data privacy, accountability, and the potential displacement of human roles must be carefully addressed to ensure responsible AI deployment. Legal and regulatory frameworks add another layer of complexity, particularly when AI tools are used for personnel evaluation or contractual decision-making. This paper explores these core challenges in detail, emphasizing the need for a strategic, inclusive, and ethically sound approach to AI integration in project management. Overcoming these obstacles is vital for unlocking the true potential of AI not just as a tool, but as a collaborative partner in delivering successful and future-ready projects.