AI is particularly well-suited to tackle the challenge of optimizing energy use in smart cities because of its capability to process large volumes of data, recognize patterns, and make real-time decisions. By utilizing AI, cities can enhance energy efficiency through smart grids, predictive analysis of energy needs, and automated management of systems like lighting, heating, and cooling. AI can optimize the distribution of resources, minimize waste, and more effectively integrate renewable energy sources. With data collected from IoT sensors, machine learning algorithms can forecast energy consumption and adjust systems accordingly, leading to reduced costs and environmental impact.