AI, ML and DL are transforming the building and construction industry 4.0. Robotics, IoT, Digital Twins, 4D Printing, Cloud AR/VR, Blockchain are future trends. AI techniques can be used throughout the whole building lifecycle. Sensor and vision-based data acquisition can facilitate ML/DL implementation. This article presents a state-of-the-art review of the applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in the facets of architectural design and visualization; material design and optimization; structural design and analysis; offsite manufacturing and automation; construction management, progress monitoring, and safety; smart operation, building management and health monitoring; and durability, life cycle analysis, and circular economy.

Artificial intelligence (AI) is set to become an integral part of the construction process.

Artificial intelligence (AI) is set to become an integral part of the construction process. With Building Information Modelling (BIM) extending further across the project lifecycle, the shift to data-driven design and construction is resulting in increasing amounts of data being generated in all phases of a project. Stakeholders throughout the design and build value chain are spending more and more of their time as information managers attempting to organise and synthesise the meaning of this information. AI and machine learning (ML) techniques are proving to be powerful tools to maximise the value and realise potential of data to drive timely decisions faster, impacting architecture, engineering, construction and building operations. Data is the fuel that powers AI.