Artificial Intelligence (AI) has emerged as a transformative tool in the field of chemistry, offering unprecedented capabilities in predicting reaction mechanisms and reaction rates. This paper reviews recent advancements in AI methodologies applied to these aspects, focusing on machine learning models, neural networks, and their integration with quantum chemical calculations. The synergy between AI and experimental chemistry is also explored, highlighting its potential to accelerate the discovery of novel reactions and optimize industrial processes.