Artificial Intelligence and Project Management: An Integrative Review of Current Approaches and Future Directions

Abstract

Artificial intelligence (AI) is already changing the face of project management due to its ability to boost processes involved in project planning, project execution, project monitoring, and project decision-making. The paper will discuss the basis of the use of AI in project management, and will consider the ways in which it is used today in project management in the form of scheduling, resource optimization, risk prediction, communication, performance tracking. Some of the advantages connected with AI incorporation include a higher level of accuracy, efficiency, cost-saving, and more substantial stakeholder cooperation. Issues like data quality, ethical issues, high expenses, and reluctance to use present a challenge to the realization of widespread implementation. Two possible future directions are emerging technologies such as generative AI, digital twins and autonomous agents, all seemingly well-suited to complement IoT, block chain, and cloud platforms. The review demonstrates unaddressed research gaps in some series of empirical validation, sector-specific applications, ethics and skill development, and the need to create a balanced human-AI working relationship to meet goals of sustainable projects.