AI in Project Management: Technical Prerequisites, Digital Knowledge, and Organizational Maturity

Abstract

The integration of Artificial Intelligence (AI) in project management is reshaping managerial roles, organizational maturity, and required technical competencies. This study examines the relationships between key constructs influencing AI adoption in project management: Technical Prerequisites (TP), Digital Knowledge of the Project Manager (DGK), Changes in the Project Manager’s Job due to AI-driven Digital Transformation (CDT), and AI-driven Digital Maturity of the Organization (AIM). The data collected from 186 project management professionals across eight countries (Romania, Belgium, Austria, Germany, the Netherlands, Italy, the United Kingdom, and France) and was analyzed using Structural Equation Modeling (SEM) with SmartPLS 4.0. The results of the research demonstrate how important technical preparedness and digital expertise are to facilitating AI-driven changes in project-based settings. Furthermore, this paper offers a framework for businesses looking to improve digital maturity through project management techniques, as well as theoretical and practical insights into the changing capabilities needed for AI adoption.