## 1 Introduction  
In recent years, AI has made significant advancements in the construction industry, impacting various areas, trades, and types of buildings, including residential, commercial, and industrial. AI technologies and tools are transforming these sectors by increasing efficiency and reducing costs. For instance, in residential buildings, AI tools are used to optimize resources and design plans, helping save costs and energy [1, 2]. Similarly, in commercial buildings, various AI tools have been implemented to enhance energy efficiency (in areas like cooling, heating, and lighting), as well as improving quality and productivity [2, 3]. Moreover, integrating AI has led to reductions in operational, construction, and labor costs from 5% to 10% according to [3]. Given these advancements, the potential of AI applications in construction is vast and has clearly proven to enhance industry practices. The rapid evolution of Artificial Intelligence has significantly impacted various industries, and the airport sector is no exception. AI technologies hold immense potential to revolutionize airport operations, enhance security measures, and streamline construction projects. The United Arab Emirates, known for its cutting-edge airports and ambitious construction, views AI adoption as a crucial component for maintaining its competitive edge and achieving operational excellence. This research explores the multifaceted applications of AI within the airport industry, focusing particularly on aviation construction projects in the UAE. It highlights the areas where the UAE excels and identifies opportunities for further integration of AI in project management and construction processes. In the UAE, significant strides have been made in implementing AI for airport security. Advanced technologies such as facial recognition systems and the Internet of Things (IoT) are employed to ensure passenger safety and streamline operations [4]. These technologies enable real-time data processing and decision making, which are critical for maintaining high security standards and operational efficiency. For instance, AI systems such as facial recognition enhance security checks by quickly and accurately verifying passenger identities, reducing the risk of human error [5]. Additionally, IoT devices monitor various parameters such as crowd density and environmental conditions, enabling proactive management of airport facilities [6]. The integration of AI in security operations has not only improved safety but also enhanced the overall passenger experience by reducing wait times and increasing the efficiency of security protocols. Despite advancements in airport security, integrating AI in the design and construction phases of aviation projects remains limited. AI has the potential to optimize various aspects of construction projects, including planning, scheduling, safety management, and quality control. By using AI tools, project managers can predict potential delays, optimize resource allocation, and enhance safety protocols [4; 7]. Furthermore, AI can assist in site supervision and monitoring, providing real-time updates and identifying potential issues before they escalate. This application can lead to more efficient and cost-effective construction processes, ultimately accelerating project timelines and improving quality. For example, drones can conduct aerial surveys of construction sites, providing detailed and accurate data that can be used to monitor progress and ensure compliance with design specifications. Similarly, predictive analytics can help in anticipating and mitigating risks, thereby reducing the likelihood of costly project delays [8]. Moreover, AI can play a pivotal role in various stages of the project lifecycle, from initial planning to final execution. In project management, AI can assist in creating more accurate schedules, predicting potential risks, and optimizing resource allocation.