Generative Artificial Intelligence in Contemporary Project Management

General Background: Digital transformation has reshaped project management practices across industries. Specific Background: Generative artificial intelligence has emerged as a novel technological development supporting planning, decision-making, and coordination activities in project environments. Knowledge Gap: Despite growing interest, empirical evidence on how project managers appropriate generative artificial intelligence in their daily tasks remains limited. Aims: This study aims to examine the role and application of generative artificial intelligence within project management practices. Results: The findings indicate that generative artificial intelligence is primarily utilized to support project planning, decision support, and task execution, while human judgment remains central to managerial decision-making. Novelty: The study provides empirical insights into human–AI collaboration in project management, an area that is still underexplored in current literature. Implications: The results contribute to academic understanding and offer practical guidance for project managers seeking to integrate generative artificial intelligence responsibly within project workflows. Keywords: Generative Artificial Intelligence, Project Management, Digital Transformation, Human–AI Collaboration, Decision Support Key Findings Highlights: Generative AI is mainly applied as a support tool in managerial tasks. Human expertise remains essential in interpreting AI-generated outputs. Adoption patterns reflect ongoing digital transformation in projects.