AI in Construction: A Comprehensive Review

Abstract: Artificial intelligence (AI) is transforming the construction industry by enhancing efficiency, safety, and sustainability through automation and data-driven decision-making. Literature highlights that while AI adoption in construction is growing, there is a need for further research and industry collaboration to fully realize its potential across diverse construction projects. Therefore, this study examines the various applications of AI in construction, including automation of tasks, predictive maintenance, project management, and building information modeling. An extensive literature review was performed, and the results revealed that AI technologies such as machine learning, computer vision, and natural language processing are employed to optimize resource allocation, improve safety monitoring, and automate repetitive tasks, reducing labor costs and human error. Predictive models, driven by AI, forecast equipment failure, improving the longevity of machinery, and reducing downtime. AI-integrated building information modeling systems enable better planning and real-time adjustments, while AI algorithms optimize material usage and energy efficiency, contributing to sustainable construction practices. Despite the advantages, challenges such as data privacy concerns, the need for skilled personnel, and the high cost of AI integration remain significant barriers. The outcomes of this research provide valuable directions for stakeholders including construction companies, policy makers, and technology providers looking to enhance construction productivity, safety, and sustainability through AI-driven solutions.