Skip to main navigation Skip to search Skip to main content

Redrawing the labour blueprint: PRISMA insights on AI in the construction industry

  • Brandon Day
  • , Koorosh Gharehbaghi
  • , Ken Farnes
  • , Kong Fah Tee*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Artificial intelligence (AI) is a powerful technology with an undefined range of capabilities, transforming many industries and their practices. The construction industry is one of the least digitised industries and largely lags in adopting AI. The limitless and unpredictable nature of AI’s development has generated a widespread fear of potential job displacements that counterpoints the acknowledged benefits of AI. This study seeks to identify the impact of the adoption of AI on employment. The potential effects on the labour force, specifically employees, employers, and society, will be examined. To achieve this aim, the study adopts a systematic literature review approach using the PRISMA protocol, complemented by an analytical framework for investigating how the progression of AI will affect employment, particularly within the construction industry. The findings of the study inform a range of parties that operate in the construction industry concerning the impact of AI and provide several recommendations to assist in mitigating the negative effects on employment.

Original languageEnglish
Pages (from-to)118-138
Number of pages21
JournalInfrastructure Asset Management
Volume13
Issue number2
DOIs
StatePublished - 28 Oct 2025

Bibliographical note

Publisher Copyright:
© 2025 Emerald Publishing Limited

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • PRISMA
  • UN SDG 11: Sustainable cities and communities
  • artificial intelligence (AI)
  • built environment
  • computational intelligence
  • construction industry
  • labour force

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Building and Construction
  • Transportation
  • Safety Research
  • Public Administration

Fingerprint

Dive into the research topics of 'Redrawing the labour blueprint: PRISMA insights on AI in the construction industry'. Together they form a unique fingerprint.

Cite this