ABSTRACT
Zimbabwe faces a persistent energy crisis, marked by frequent power outages, unreliable grid supply, and limited renewable energy adoption. The construction industry suffers project delays, increased costs, and inefficiencies due to power shortages. Thus, the study explored the role of Artificial Intelligence (AI) in mitigating energy challenges by enhancing efficiency, optimizing power distribution, and integrating renewable energy into the construction sector. A quantitative approach was employed, comprising surveys with 50 industry experts. Regression analysis examined the relationship between AI adoption and energy efficiency. The key findings suggest that AI can reduce project delays, improve grid reliability, and enhance sustainability. However, challenges such as high costs, lack of expertise, and policy inconsistencies hinder its adoption. This study proposes an AI-driven energy management framework to support construction and energy stakeholders in fostering energy resilience in Zimbabwe and similar settings, particularly in the Global South.
