This paper presents the evolution of application of Artificial Intelligence (AI)techniques in the design of Aircraft Antiskid Braking Systems (AABS). AABS designs that are based on conventional heuristic algorithms fail to generate desired responses when exposed to unpredictable nonlinearities such as actuator and sensor faults and variations in aircraft dynamics. AI techniques such as Artificial Neural Networks (ANN), Fuzzy logic and Machine Learning (ML) can make control systems adapt in response to changes in both internal and external disturbances. This work begins with an introduction on evolution of AABS and limitations of conventional AABS designs. Then an adapted aircraft landing gear and ‘tyre-runway’ dynamic models are presented. This is followed by the review of AABS that are based on the three common AI techniques namely ANN, Fuzzy logic, and ML and intelligent PID controllers. A comparison of the AI based AABS is provided in the concluding section.