Artificial Intelligence (AI) and Machine Learning (ML) are transforming catalysis by providing innovative approaches to accelerate catalyst discovery, optimization, and understanding reaction mechanisms. AI and ML's ability to process vast data enables efficient analysis of complex catalytic systems, offering insights that would be difficult to obtain through traditional methods. One of the primary applications of Artificial Intelligence and Machine Learning in catalysis is the design of new catalysts with enhanced performance. By utilizing machine learning algorithms, researchers can predict catalyst properties based on molecular structure, identifying key features that improve efficiency. Additionally, AI and ML are revolutionizing the study of reaction mechanisms by modeling complex catalytic cycles and transition states, leading to more selective and efficient processes. As AI and ML technologies advance, they will continue to play a crucial role in developing more sustainable and cost-effective catalytic processes for industrial applications.