Artificial Intelligence in the Construction Industry: A Systematic Review of Emerging Opportunities and Prevailing Challenges

Abass, Olusegun K. and Ibitoye,, NS and Onabote, EJ and Kolawole,, A and Daser-Adams, JL Artificial Intelligence in the Construction Industry: A Systematic Review of Emerging Opportunities and Prevailing Challenges. NIPES-Journal of Science and Technology.

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Abstract

This systematic review explores the application of Artificial Intelligence (AI) in the construction industry, focusing on its benefits, challenges, and future prospects. AI demonstrates significant potential to enhance productivity, drive innovation, and promote environmental sustainability by automating repetitive tasks, optimizing construction processes, and integrating seamlessly with Industry 4.0 technologies. These advancements facilitate real-time site monitoring, extend material lifespan, and enable the development of smart, adaptive buildings tailored to environmental demands—ultimately reducing operational costs and environmental impact. Despite these advantages, the implementation of AI in construction faces several challenges. The industry's fragmentation impedes data sharing and standardization, while high implementation costs, technological constraints, and ambiguous regulatory frameworks further hinder progress. Additionally, organizational resistance and limited digital skills among stakeholders highlight the need for cross-sector collaboration and capacity-building initiatives. The review also discusses emerging AI tools such as generative design and structural health monitoring, which have the potential to transform project management, design optimization, and safety assurance. By synthesizing findings from extensive literature, the study underscores AI’s capacity to enhance sustainability and efficiency across construction activities. Nevertheless, to fully realize AI’s transformative potential, systemic issues related to data governance and accessibility must be addressed. Establishing standardized data practices will be critical in advancing a technologically driven, smart construction sector

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