Abstract
The South African construction industry (SACI) continues to face significant safety and operational efficiency challenges, leading to increased risks, accidents and project delays. This study explores how the adoption of AI-driven technologies can address these persistent issues, particularly in improving risk assessment and mitigation efforts within the industry. A quantitative approach was employed, gathering data through a detailed questionnaire targeting industry professionals including engineers, site managers, construction managers, health and safety officers and quantity surveyors. The analysis employed Mean Item Score and Exploratory Factor Analysis (EFA). The findings revealed that while the adoption of AI-driven technologies in mitigating construction risk in the SACI is still in its infancy, there is growing recognition of its value. The adoption of AI-driven technologies in the SACI will mitigate construction risk such as accidents, site accidents, skills shortages and operational issues currently plaquing the industry. Addressing these barriers will unlock the full potential of AI-driven solutions in transforming risk management and project outcomes. This study contributes to the growing body of research on the use of AI-driven technologies in the construction industry, providing crucial insights into its benefits. The findings will guide industry leaders and policymakers in shaping strategies that encourage the successful adoption of AI in managing construction risk.