Abstract

Despite its reputation as one of the least digitized sectors, the construction industry increasingly adopts artificial intelligence (AI) and construction technologies. However, previous research has not adequately explored the benefits of AI techniques and construction technologies nor the correlations between them. This study aims to fill this knowledge gap. To this end, the authors used a multistep research methodology. First, a systematic literature review of studies published between 1985 and 2022 was conducted to identify AI techniques and construction technologies. Second, content and frequency analysis were performed to determine the benefits associated with AI and technology adoption. Finally, a survey was developed, collected, and analyzed to (1) quantify the utilization of AI techniques and construction technologies; (2) assess the benefits of utilizing them; and (3) investigate the correlations between AI techniques, construction technologies, and key benefits. The study identified four AI techniques, 13 construction technologies, and 28 associated benefits. Results showed that widely adopted AI techniques are computer vision and knowledge-based systems (KBS) and the most adopted construction technologies include the global positioning system, building information modeling (BIM), the GIS, and unmanned aerial vehicles (UAVs). The key benefits are increased productivity, improved safety, improved monitoring and control, and informed decision-making. Correlations discovered in the study include (1) increased productivity, strongly associated with blockchain, BIM, and digital twin; (2) improved safety, closely linked with KBS, machine learning (ML), and robotics; (3) enhanced monitoring and control, associated with laser scanning, real-time systems, and UAVs; and, (4) informed decision-making, correlated with ML, natural language processing, and blockchain. This study provides a quantified comprehensive understanding of the benefits of AI and construction technologies, offering insights to prioritize innovations, and helping practitioners make informed investments for a competitive advantage.

Department(s)

Civil, Architectural and Environmental Engineering

International Standard Serial Number (ISSN)

1943-5568; 1076-0431

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2025 American Society of Civil Engineers, All rights reserved.

Publication Date

01 Dec 2025

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