Abstract

The increasing complexity and dynamic nature of modern business environment demand innovative approaches to project management. This paper explores the transformative potential of Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs) in revolutionizing project management practices across all ten knowledge areas outlined in the PMBOK® Guide. Through a comprehensive study of 84 organizations spanning diverse industries—construction, IT, pharmaceuticals, and aerospace in the EU, UK, USA, and the Middle East -– this research highlights how these advanced technologies enhance efficiency, accuracy, and decision-making in project management.

The study presents practical use cases illustrating the integration of AI-driven tools for scope, schedule, cost, quality, risk, resource, procurement, communication, stakeholder, and integration management. From automating repetitive tasks and providing real-time monitoring to enabling predictive analytics and improving stakeholder engagement, these technologies deliver significant time and cost savings.

This research emphasizes the originality of combining cutting-edge AI technologies with traditional project management frameworks, offering a forward-looking perspective on maximizing project success. By demonstrating their applicability in diverse real-world scenarios, the paper provides actionable insights for organizations seeking to adopt intelligent project management solutions. The findings underscore the vital role of AI, ML, and LLMs in shaping the future of project management, paving the way for more agile, efficient, and successful project delivery in an increasingly competitive landscape.