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The fusion of Artificial Intelligence (AI) and the Internet of Things (IoT) has brought about a paradigm shift in the realm of architecture, engineering, and construction (AEC), introducing intelligent sensing technologies that significantly enhance monitoring and control. This study delves into the varied applications, hurdles, and prospects emerging from the collaborative deployment of AI and IoT-based sensors within the AEC domain. AI-equipped smart sensors enable real-time monitoring of structural health, energy consumption, and environmental conditions in both buildings and infrastructure. These technologies empower predictive maintenance, ensuring the durability of structures while minimizing downtime. Additionally, AI-driven analytics optimize resource allocation, improve safety protocols, and streamline construction processes, thereby enhancing overall project efficiency. Through ongoing analysis of data collected by sensors integrated into HVAC systems, elevators, and lighting, maintenance teams can pre-emptively tackle potential malfunctions. Furthermore, the synergy between AI and IoT enables the development of intelligent buildings with adaptive features. Sensors that examine occupancy patterns, lighting preferences, and temperature fluctuations play a pivotal role in crafting energy-efficient and occupant-centric building designs. The security and privacy concerns associated with sensor-generated data give rise to critical issues that necessitate robust cybersecurity measures. Interoperability challenges among diverse sensor networks and AI platforms also present obstacles to seamless integration. Furthermore, the adoption of …