¹Ismail Ujaimi, ²Rabab Alsaigh, ³Majid Alfelfel, ⁴Raed Algallaf

^1,2,3,46660 Abu Al Wadr Al Mazini - Al Wahah Dist. - Al Qatif 32626 - 2788 - Kingdom of Saudi Arabia

DOI : https://doi.org/10.58806/ijsshmr.2024.v3i11n18

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ABSTRACT

This paper examines the integration of Artificial Intelligence (AI) within the Saudi Arabian construction industry, addressing key challenges, potential solutions, and its transformative potential. With Saudi Arabia’s Vision 2030 emphasizing technological innovation and economic diversification, the construction sector stands to benefit significantly from AI-driven advancements that improve productivity and enhance project management. Key challenges identified include technical barriers, such as data quality issues, complex system integration, and the limited availability of specialized AI tools. Additionally, regulatory hurdles related to compliance and data privacy, high implementation costs, limited ROI, and social resistance driven by job displacement fears and lack of AI familiarity pose significant obstacles. A survey conducted among industry professionals confirmed these challenges, highlighting difficulties in AI system integration, economic concerns about costs and talent shortages, and regulatory uncertainties. Social resistance to AI adoption also emerged as a critical barrier, underscoring the need for workforce training and change management strategies to foster acceptance. The paper proposes targeted solutions, including improving data integration capabilities, establishing comprehensive regulatory frameworks, providing financial incentives, and offering training programs to build AI-related expertise. Case studies and hypothetical scenarios illustrate AI’s potential benefits, such as optimizing resource allocation, enhancing safety, reducing costs, and streamlining project timelines. Government-backed initiatives like King Salman Energy Park (SPARK) emphasize the importance of infrastructure and state support in facilitating AI adoption across industries. These efforts align with national goals to transform construction practices and drive innovation. The findings demonstrate AI’s potential to revolutionize the construction sector, but overcoming existing challenges requires continuous collaboration between industry stakeholders, policymakers, and technology providers. Further research is necessary to validate these assumptions and explore practical strategies for AI integration, ultimately paving the way for a more efficient, innovative, and sustainable construction industry.

KEYWORDS:

Artificial Intelligence (AI) in Construction, Saudi Construction Industry, AI Integration in Saudi Projects, Vision 2030 Saudi Arabia, AI Adoption Challenges

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VOlUME 03 ISSUE 11 NOVEMBER 2024