Enhancing construction project management competencies with AI-driven assistants: A dual perspective from academia and industry

The adoption of assistants based on artificial intelligence (AI) in the construction industry is creating new opportunities and challenges for project management. Despite the potential of these tools, few studies examine how they can enhance project management skills. Therefore, this study examines construction managers' perceptions of the influence of AI assistants on their project management competencies. A systematic literature review of 206 documents identified 35 core competencies required for effective construction project management. These competencies were categorized based on their relevance to the planning, execution, monitoring, and closure phases of construction projects. Using this framework, a structured questionnaire was developed and administered to 135 managers from academia and industry who use AI tools in construction management. They rated on a five-point scale how much they believe AI tools can improve each competency. An exploratory factor analysis (EFA) was conducted to identify knowledge areas and AI-influenced competency domains that can be strengthened through the application of AI tools. The findings suggest that AI tools have a positive impact on technological innovation capacity, scheduling efficiency, resource allocation, and project reporting. While significant differences were observed in the perceived applicability of AI based on participants’ roles and levels of experience, there was overall consensus on AI's important role in enhancing competencies for managing construction projects. This study contributes to the ongoing discussion about integrating AI into professional training and competency development in construction project management.