The construction industry plays a crucial role in economic growth, significantly contributing to revenue generation, capital formation, and job creation. These elements are vital for enhancing a nation's Gross Domestic Product (GDP) and overall development. The integration of Artificial Intelligence (AI) tools in construction presents a promising opportunity to optimise project management and address existing challenges. However, in Zambia and Kenya, the adoption of AI in the construction sector remains largely underdeveloped compared to other industries such as transportation, healthcare, banking, and logistics. A questionnaire survey was conducted with 162 respondents who were among the key players in the construction industry. The data was analysed using both descriptive and inferential statistical methods. The standard deviation values for the responses ranged between 0.52 and 1.44, and the mean values fell within the range of 2.67 to 4.76, indicating varying degrees of response consistency. AI tools have been widely adopted through BIM applications, with average mean ranks between 3.51 and 3.44. In contrast, tools such as neural networks have been the least popular AI tools, achieving a mean rank of 1.85. These findings revealed that, despite rapid urbanisation and increasing demand for infrastructure, AI adoption in construction remains limited, with most applications restricted to the design and planning stages. Additionally, no significant differences were found in AI adoption levels between Zambia and Kenya.