An Extensive Examination of Uses of Machine Learning and Artificial Intelligence in The Construction Industry’s Project Life Cycle

The integration of Artificial Intelligence (AI) and Machine Learning (ML) in the construction industry has gained increasing momentum over the past decade. This study presents a systematic literature review aimed at evaluating the deployment of AI/ML technologies across the five key phases of the construction project life cycle: planning, design, construction, operation and maintenance, and demolition. The review follows PRISMA guidelines and employs a three-stage filtering process to analyze publications from 2013 to 2023. Findings indicate that the planning and construction phases feature the most extensive and mature applications, particularly in cost estimation, risk analysis, safety management, and scheduling optimization. In contrast, adoption in demolition and post-occupancy phases remains limited. The study also identifies major challenges including data quality, integration barriers, and ethical considerations. By mapping AI/ML use across lifecycle stages, this paper provides a structured foundation for further academic inquiry and practical implementation of intelligent technologies in construction.