The purpose of this review paper is to investigate the transformative function of Artificial Intelligence (AI) in the field of Civil Engineering. We delve into the various uses of AI, focusing on intelligent design, building, and maintenance, utilizing a comprehensive study of ten essential research publications. The papers offer light on how AI is transforming the civil engineering landscape, contributing to sustainability, efficiency, and creativity in a variety of areas.The review includes major findings from these publications, such as insights into AI's impact on civil engineering sustainability, use in projecting construction costs and durations, and integration in high-speed rail systems. The paper also emphasizes the importance of Artificial Neural Networks (ANNs) in civil engineering applications, as well as the rising automation of civil engineering design.Furthermore, the paper discusses the potential of AI in improving aviation safety and decision-making, as well as an overview of new AI-driven computational approaches in several engineering disciplines, such as big data, machine learning, and deep learning. It also covers the information life-cycle flow in bridge engineering and the opportunities for integrated AI applications. In summary, this thorough review paper provides a panoramic picture of AI's crucial position in Civil Engineering, providing useful insights into its uses, difficulties, and prospects in defining the industry's smarter and more sustainable future.