Observations have revealed that Artificial Intelligence (AI) and Machine Learning (ML) algorithms have paved the way for many domains including, Earth Sciences. Interestingly, significant enhancements are seen in “AI and ML Empowered Insights into Fault Movements and Earthquake Dynamics.” Further in this Chapter, we will examine how these technologies aid seismic activities, predict, forecast trending abilities and improve the results. Initially, the chapter explores current trends in Fault Movements and Earthquake dynamics. By approaching traditional methods, it is certain that huge amounts of big data cannot be processed, nor can they optimize results. To overcome the complexities of the traditional approach, AI and ML play a vital role in addressing large datasets and seismic networks. Not only do they analyse and predict, but they can also identify patterns and anomalies with exceptional accuracy. Furthermore, we discuss the difficulties which are related to the integration of AI and implementation of ML algorithms for seismic monitoring. With the aim of attaining quality datasets, integrating the model and validating the prediction. Building on that, we can direct proper research, develop the domain of seismic networks, and revolutionize better strategies to overcome disasters. In conclusion, we demonstrate the significant influence of AI and ML on the study of Fault Movements and Earthquake Dynamics. The chapter offers an overview of the prospects and findings in critical Earth Sciences and their effects on disaster management strategies.