Determinant of artificial intelligence skills adoption among built environment professionals in a developing economy

The demand for artificial intelligence (AI) competencies is increasing alongside the growing emphasis on sustainability, efficiency, and resilience in construction project delivery. Despite expanding research on digital transformation in construction, limited empirical studies have examined the factors influencing AI skills adoption among built environment professionals, particularly in developing economies. This study investigates the determinants of AI skills adoption among built environment professionals in Nigeria. A quantitative research design was employed, with data collected through structured questionnaires administered to construction professionals. Descriptive and inferential statistical techniques were used for data analysis. Exploratory factor analysis revealed four key determinants of AI skills adoption: AI skills awareness and readiness, attitudinal readiness, institutional and policy environment, and resource accessibility factors. The findings provide valuable insights for policymakers, professional bodies, and higher education institutions seeking to enhance digital competencies and accelerate AI adoption within the construction sector, thereby supporting improved productivity, sustainability, and innovation.