The study majorly focuses on infrastructure management and how it is being transformed by artificial intelligence and how it can be improved concerning safety, sustainability, and efficiency in a variety of industries. It investigates a range of uses, such as disaster response, traffic control, smart building optimization, predictive maintenance, and infrastructure inspection. The study highlights AI’s ability to evaluate intricate information, facilitating proactive tactics and data-driven choices. Nevertheless, issues including data quality and availability, computing limitations, and integration difficulties still exist. To ensure responsible implementation, regulatory frameworks and ethical considerations are essential. Developing AI skills, incorporating cutting-edge technologies like blockchain and IoT, and addressing societal effects are some of the future directions. This thorough synthesis attempts to guide researchers, decision-makers, and practitioners toward stronger and beneficial infrastructure systems by bridging the gap between theory and practice.