Innovating Economic Models for Smart Green Cities Through Artificial Intelligence Techniques

The main challenges resulting from urbanization include poverty, environmental degradation, and unsustainable resource extraction. Urbanization is not only one of the most significant human activities but also an inevitable trend in the 21st century. With over 80% of the global population expected to reside in cities by the end of this century, sustainable urbanization will likely play a critical role in reducing consumption and emissions. This paper explores the integration of artificial intelligence (AI) into economic models to aid in the development of smart, green cities. AI technologies, leveraging data analytics, machine learning, and predictive modeling, can optimize resource allocation and inform urban planning decisions to enhance the sustainability of urban environments. AI enables the implementation of smart grids, traffic management systems, and the automation of public sector activities, all of which contribute to reducing energy consumption and minimizing environmental impact. By combining AI with the Internet of Things (IoT) and other modern technologies, cities can achieve proactive urban planning, foster public participation, and improve resource management. This study highlights the potential of AI in driving climate neutrality and promoting sustainable economic growth in future urban landscapes.