Аннотация: The integration of artificial intelligence (AI) and intelligent systems is transforming smart homes and sustainable smart cities by optimizing energy consumption, enhancing security, and improving overall urban efficiency. This study employs a mixed-method approach, combining theoretical analysis and empirical case studies of an AI-driven smart home and a sustainable smart community. Findings indicate that AI-driven home automation can reduce energy consumption by up to 20–30%, while community-wide AI coordination can lead to over 60% CO₂ emissions reduction. However, challenges remain in ensuring interoperability, data privacy, and scalability of AI-driven smart infrastructure. The study highlights the role of experts in developing, implementing, and refining AI solutions, emphasizing the need for user-centric design, robust governance, and continuous innovation for future smart urban environments.