In the rapidly evolving landscape of construction project management, artificial intelligence (AI) is emerging as a game-changer, promising to revolutionize how projects are planned, executed, and managed. A recent study published in the *Journal of Design for Resilience in Architecture and Planning* (translated as *Journal of Resilient Design in Architecture and Planning*) explores the transformative potential of AI in construction project management, highlighting its role in enhancing efficiency, sustainability, and resilience.
The research, led by Sezer Savaş from Istanbul University, delves into the principal functions of construction project management, including time management, cost estimation, quality assurance, and risk mitigation. The study reveals that AI-driven approaches significantly improve operational efficiency by enabling proactive identification of schedule delays, cost overruns, and safety hazards. For instance, image-recognition systems integrated with Internet-of-Things (IoT) sensors facilitate real-time monitoring of site conditions, allowing for adaptive responses to disruptions. “AI-driven approaches significantly enhance operational efficiency and system resilience by enabling proactive identification of schedule delays, cost overruns, and safety hazards,” Savaş explains.
One of the most compelling aspects of the research is its focus on design management. Generative design algorithms and AI-enhanced Building Information Modeling (BIM) integration have the potential to automate clash detection, optimize form and function, and generate innovative design alternatives that align with cost, energy, and sustainability objectives. This is particularly relevant for the energy sector, where the demand for sustainable and efficient construction practices is growing. By leveraging AI, construction projects can achieve better energy performance, reduce costs, and enhance overall project resilience.
However, the study also identifies critical barriers to widespread AI adoption. Fragmented and non-standardized data ecosystems impede model training and interoperability with legacy systems. Organizational resistance and a shortage of professionals skilled in both AI and construction further hinder implementation. Ethical and legal concerns, stemming from the “black-box” nature of many AI algorithms, complicate accountability in safety-critical decisions.
Despite these challenges, the research highlights the strategic role of AI not only as a technological innovation but also as a catalyst for cultural and organizational transformation. Savaş emphasizes the need for targeted future research directions, including empirical validation of AI tools in live project environments, development of sector-specific AI frameworks, interdisciplinary collaboration, and educational initiatives to upskill the workforce.
The study, published in the *Journal of Design for Resilience in Architecture and Planning*, offers a comprehensive overview of the current state and future potential of AI in construction project management. As the construction industry continues to evolve, AI is poised to play a pivotal role in shaping more resilient, sustainable, and high-performing projects. By addressing the identified challenges and leveraging the transformative potential of AI, the construction industry can achieve significant advancements in project management and delivery.