AI-Driven Smart Construction: Digitalization of Design, Management, and Monitoring of Residential Construction Projects in Palestine

Abstract

The construction industry worldwide is adopting artificial intelligence (AI) tools. However, in developing countries, especially Palestine, challenges such as weak IT infrastructure, fragmented workflow, manual processes, and bureaucratic delays, hinder AI adoption in the residential construction sector. This study examines the traditional practices across the design, permitting, execution, and monitoring phases of residential projects. It then explores the potential of using AI tools at each phase, including generative AI design systems, predictive procurement models, Automated permit review algorithms. These tools can improve design accuracy, speed up approvals, improve resource planning, reduce execution errors, shorten project duration and lower cost. This paper proposes a practical framework for using AI tools in lower- resource settings. It shows that integrating stakeholders and contractors through AI-based system is feasible and essential for achieving accurate, efficient, timely, and sustainable construction. The success in modernization of this sector depends on advancing digital infrastructure, regulatory reform, and skilled human capital.