The integration of Artificial Intelligence (AI) into the comprehensive project management field is revolutionizing the landscape of nowadays organizations. This paper explores the transformative role of AI in reshaping the responsibilities and functions of project managers. With AI’s capabilities to automate tasks, enhance data analysis, and improve risk assessment, there is a significant shift in traditional project management practices that potentially offers limitless opportunities for organizational enhancement. This study specifically examines how AI is impacting project management across various dimensions including planning, execution, monitoring, and control. Utilizing both qualitative and quantitative data collected from a questionnaire distributed among professionals in different fields, the research analyzes the specific areas of project management that benefit most from AI technologies. The analysis aims to understand the practical impact of these technologies on project results and the evolution of the project manager role. The findings are expected to indicate a shift towards a more oversight-driven role where project managers are increasingly reliant on AI tools to handle operational tasks while they strategize and navigate complex project landscapes. This shift is reshaping the skill set required for successful project management, emphasizing the need for strong analytical skills and a deep understanding of AI capabilities and limitations. The empirical evidence gathered through this research will underscore the significant advantages that AI integration brings to project management across various industries. These include increased efficiency, improved accuracy in project tracking and forecasting, and enhanced risk management—all contributing to more successful project outcomes. However, the transition also necessitates a reevaluation of the project manager’s role, shifting from traditional task management to more strategic and analytical functions. This transformation, driven by AI, prepares practitioners for more dynamic and effective project management practices, ultimately leading to greater project success and organizational efficiency.

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The Impact of Artificial Intelligence in the Project Manager Role

  • Aurel Mihail Titu,
  • Madalina Maria Pana,
  • Andreea Maria Moldoveanu

摘要

The integration of Artificial Intelligence (AI) into the comprehensive project management field is revolutionizing the landscape of nowadays organizations. This paper explores the transformative role of AI in reshaping the responsibilities and functions of project managers. With AI’s capabilities to automate tasks, enhance data analysis, and improve risk assessment, there is a significant shift in traditional project management practices that potentially offers limitless opportunities for organizational enhancement. This study specifically examines how AI is impacting project management across various dimensions including planning, execution, monitoring, and control. Utilizing both qualitative and quantitative data collected from a questionnaire distributed among professionals in different fields, the research analyzes the specific areas of project management that benefit most from AI technologies. The analysis aims to understand the practical impact of these technologies on project results and the evolution of the project manager role. The findings are expected to indicate a shift towards a more oversight-driven role where project managers are increasingly reliant on AI tools to handle operational tasks while they strategize and navigate complex project landscapes. This shift is reshaping the skill set required for successful project management, emphasizing the need for strong analytical skills and a deep understanding of AI capabilities and limitations. The empirical evidence gathered through this research will underscore the significant advantages that AI integration brings to project management across various industries. These include increased efficiency, improved accuracy in project tracking and forecasting, and enhanced risk management—all contributing to more successful project outcomes. However, the transition also necessitates a reevaluation of the project manager’s role, shifting from traditional task management to more strategic and analytical functions. This transformation, driven by AI, prepares practitioners for more dynamic and effective project management practices, ultimately leading to greater project success and organizational efficiency.