AI driven construction: unlocking efficiencies, improving safety and optimising outcomes

This study aims to investigate and analyse the current knowledge and perspectives of AI applications within the construction industry in the UK, addressing a critical gap in the existing literature. The study aims to provide a deeper understanding of the industry’s need for digitalisation by understanding the views of construction industry professionals. The study uses a mixed-methods approach, utilising survey data from UK construction professionals analysed through descriptive, reliability, and analysis of variance tests. The results indicate a strong interest in artificial intelligence (AI) tools among construction industry professionals. Still, this interest is hindered by a lack of hands-on experience, leading to a lack of faith in AI’s capabilities. These findings provide a direction for integrating AI into the construction industry.

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Publication Details

Journal
Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction
Published
2026-08-25
DOI
https://doi.org/10.1680/jsmic.24.00041
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.00
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article

AI driven construction: unlocking efficiencies, improving safety and optimising outcomes

M. Sohail, Khaled Aljaber, Nawaf Junaidi (24423008)
Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction
BIM and Construction Integration
article

AI driven construction: unlocking efficiencies, improving safety and optimising outcomes

M. Sohail, Khaled Aljaber, Nawaf Junaidi (24423008)
article en

Abstract

This study aims to investigate and analyse the current knowledge and perspectives of AI applications within the construction industry in the UK, addressing a critical gap in the existing literature. The study aims to provide a deeper understanding of the industry’s need for digitalisation by understanding the views of construction industry professionals. The study uses a mixed-methods approach, utilising survey data from UK construction professionals analysed through descriptive, reliability, and analysis of variance tests. The results indicate a strong interest in artificial intelligence (AI) tools among construction industry professionals. Still, this interest is hindered by a lack of hands-on experience, leading to a lack of faith in AI’s capabilities. These findings provide a direction for integrating AI into the construction industry.

Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction
Loughborough University (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 14%
BIM and Construction Integration
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AI driven construction: unlocking efficiencies, improving safety and optimising outcomes — M. Sohail, Khaled Aljaber, et al. · Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction (2026) | TGRS Research Map | TGRS