Artificial Intelligence in Architecture and the Construction Process: A Comprehensive Review

Abstract

Artificial Intelligence (AI) has brought transformative changes to traditional processes in architecture and construction, redefining workflows across all project stages. This paper provides a comprehensive examination of AI applications, highlighting its pivotal role from the articulation of initial requirements to operation and maintenance. In the early stages, AI tools facilitate client data collection, market analysis, and scenario generation, enabling a more targeted understanding of requirements. Furthermore, the use of genetic algorithms and Building Information Modeling (BIM) enhances creativity and collaboration during the design phase while simultaneously optimizing costs and efficiency. 
During the construction phase, AI supports autonomous equipment operations, real-time progress monitoring through drones and sensors, and data analysis to identify issues and optimize resources. After project completion, intelligent management systems ensure proper functionality and predictive maintenance by leveraging data to enhance performance.
Emphasizing AI’s contribution to precision, speed, and creativity, this study underscores how its integration is reshaping industry practices, reducing costs, enhancing safety, and offering significant opportunities for further innovation and sustainability.