AI and ML technologies are deeply integrating into smart cities by optimizing various aspects. They enable data-driven decision-making, enhancing transportation systems, and improving public services. For instance, AI optimizes traffic flow, predicts congestion, and manages autonomous vehicles, while ML algorithms analyze vast amounts of data to predict patterns and trends. This integration offers benefits like improved efficiency, enhanced safety, and sustainable growth. However, challenges include data privacy concerns, algorithmic bias, cybersecurity risks, and the need for robust infrastructure. Addressing these challenges is crucial for the successful and ethical implementation of AI and ML in smart cities.