Assessing the state of Artificial Intelligence in the construction industry: A review towards safety and sustainable environment

Ipede, Oluwaseun and Lawal, Charles and Oladele, Mayowa (2025) Assessing the state of Artificial Intelligence in the construction industry: A review towards safety and sustainable environment. World Journal of Advanced Research and Reviews, 27 (1). pp. 1063-1071. ISSN 2581-9615

The construction sector is a crucial component of the U.S. economy, valued at approximately $2 trillion in 2024. The study highlights the industry's role in infrastructure development and economic growth, employing over 7 million people and contributing around 4% to the GDP. Despite its significance, the construction industry faces challenges such as labor shortages, rising material costs, and stringent regulations, which necessitate the adoption of advanced technologies like AI to enhance operational efficiency and reduce costs. This review examined the current applications, benefits, challenges, and prospects of AI in construction, emphasizing its potential to improve safety, streamline project management, and automate processes. However, it also addresses the technological challenges of integrating AI with existing systems, the high costs of implementation, and the skill gaps that hinder effective adoption. Successful case studies, such as collaborations between construction firms and technology providers, illustrate the potential for significant time and cost savings through AI. This study elaborated the need for investment in training programs, collaboration among stakeholders, and the establishment of clear regulations to ensure responsible AI use, ultimately aiming for a more efficient, sustainable, and innovative future in the construction industry, especially in the United States. As the industry embraces digital transformation, this research supports innovation, efficiency, and sustainability in construction practices globally.