ABSTRACT
The research aims to investigate the barriers to AI adoption in the Namibian Construction Industry. Utilising a quantitative approach, 75 questionnaires were administered to Architects, Engineers and Quantity surveyors. Quantitative data were collected in Namibia and analysed using the mean index and the standard deviation. The study identified the dominance of structural barriers in AI adoption, and this provides insights to developing countries’ construction sectors for addressing these impediments. The research recommends that professional governing institutes undertake workshops on the significance and training use of AI. Further, it is recommended that the Namibian context explore the use of Public-Private Partnerships as a funding strategy for AI adoption. The study provides a foundation for policymakers to make informed decisions in AI adoption. Despite the inability to generalise the results due to the small sample adopted in the study, the results deliver insights to enhance efficiency on construction projects.
