Artificial Intelligence (AI) has immense potential to transform Airport Information Systems (AIS). With the increasing complexity and volume of air traffic and regulations, traditional AIS faces challenges regarding efficiency, cybersecurity, accuracy, and scalability. AIS faces challenges to make a decision amidst difficulty, stress, and tight time constraints. AI, with its data analysis, prediction, and automation capabilities, can address these challenges and significantly enhance the performance of AIS. For instance, AI can optimize flight schedules, Last-minute alterations to schedules, and emergency landing scenarios, optimize rapid decision-making in improving baggage handling systems, and enhance the passenger experience through personalized services. However, integrating AI into AIS also brings new needs and considerations. Firstly, implementing AI requires robust and secure data infrastructure to handle the large volumes of data generated by airport operations. Secondly, there is a need for stringent cybersecurity measures to protect sensitive information from potential threats. Lastly, ethical considerations such as privacy and transparency become paramount when AI processes passengers’ data. This paper has discussed AI's importance, and AIS's great promise has also been highlighted. Additionally, it necessitates a thoughtful and comprehensive approach to its implementation.