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The construction industry is responsible for approximately 39 % of global carbon emissions . This paper presents a systematic literature review on the advancements and applications of Artificial Intelligence (AI) in Automated Sustainable Construction Engineering Management. It investigates the transformative role of AI in driving construction automation, sustainability , and improving operational efficiency. The review highlights key IoT , digital twins , and big data analytics developments for real-time construction site monitoring, carbon footprint reduction, and structural health monitoring . In addition, project management automation, including automatic quality control and cost-duration prediction using green AI is reviewed. The article explores the integration of AI in construction robotics, including 4D printing and smart robotics. It highlights the importance of electroencephalogram for human-centric safety, augmented reality for training, and energy-efficient Heating, Ventilation, and Air Conditioning (HVAC) control systems for green buildings. It addresses challenges, limitations, and future research directions for AI in fostering sustainable, efficient, and automated construction.
Elmousalami et al. (2025) studied this question.