Exploring the Impact of Artificial Intelligence on Innovation and Efficiency in the Construction Industry

Abstract

This study explores the impact of Artificial Intelligence (AI) on innovation and efficiency within the construction industry, focusing specifically on project management, resource allocation, worker safety, and hazard detection. The research aims to understand how AI tools and technologies are enhancing operational efficiency, improving safety measures, and optimizing resource utilization across various construction projects. A quantitative approach is employed, utilizing a structured questionnaire distributed to 400 construction professionals, including project managers, engineers, safety officers, and workers. The study applies stratified random sampling to ensure a diverse representation of different construction sectors and job functions. Data is collected through closed and Likert-scale questions that measure respondents' perceptions of AI's effectiveness in construction project management, safety, and resource optimization. Descriptive and inferential statistical techniques, including correlation and regression analysis, are employed to examine relationships between AI adoption and project outcomes. The findings suggest that AI is significantly contributing to improvements in project management efficiency, safety monitoring, and resource allocation, though barriers to widespread adoption, such as cost and training, remain. The study's results provide insights into the potential of AI in revolutionizing the construction industry and highlight the need for further investment in AI technologies to overcome implementation challenges. This research contributes to the growing body of knowledge on AI's role in the construction sector and offers valuable guidance for industry stakeholders.