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

Year: 2026

Type: article

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.

Source: Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction

DOI: 10.1680/jsmic.24.00041

Authors: Nawaf Junaidi, M. Sohail, Khaled Aljaber

Institution: Loughborough University

Language: English

Topic: BIM and Construction Integration

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W7204158223

FWCI:

Cites: 30

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