The bridge infrastructure is vital to ensuring mobility, logistics, industry integration, and the robustness of the city. With regard to the Vision 2030 strategy, Saudi Arabia is currently witnessing a fast pace of infrastructure construction; apart from the need to construct bridges that are resistant to heavy loads and difficult desert climate conditions, the necessity to keep the bridges functional and monitor them throughout extended periods emerges. The aim of this research paper is to review existing scientific articles and developments in order to identify the role that artificial intelligence and IoT play in developing an adequate technology for assessing bridge structure using monitoring. By focusing on scientific developments in this area conducted between 2020 and 2025, the article considers various methods for solving the issue, including computer vision, vibration- and sensor-based solutions, machine learning and deep learning algorithms, digital twins, and IoT and cloud computing technologies. Tables show applications of these technologies in monitoring the bridges and implementing the system, and diagrams present the model of the developed AI-IoT monitoring and maintenance system.