Harnessing Artificial Intelligence for Sustainable Smart Construction: A PRISMA-Based Systematic Review

The construction industry is undergoing a significant technological transformation, with Artificial Intelligence (AI) playing a pivotal role in improving efficiency, sustainability, and decision-making. As complex projects evolve, traditional manual methods often lead to inefficiencies, delays, and increased safety risks. AI has emerged as a vital tool for optimizing construction processes, though there remains an incomplete understanding of its applications across various project stages. This study systematically identifies key AI applications that enhance smart construction throughout planning, design, execution, operation, and demolition phases. A Systematic Literature Review (SLR) was employed following the PRISMA framework, leading to the collection of 23 relevant articles from the Web of Science database. Descriptive and bibliometric analyses were conducted using VOSviewer to assess publication trends, research methodologies, geographical distribution, and the co-occurrence of AI-related keywords. Findings indicate that AI significantly aids in predictive analytics for risk assessment, generative design, construction monitoring, safety management, supply chain optimization, energy efficiency, and smart maintenance through digital twins. Furthermore, AI advances real-time site monitoring, waste sorting, and sustainability-driven deconstruction planning, which supports the implementation of the circular economy in construction. This study provides a structured overview of AI’s contribution to smart construction, offering insights to academics, policymakers, and industry professionals on driving the integration of AI in the built environment. The goal is to foster safer, more efficient, and sustainable construction practices in the future.