Artificial Intelligence Urbanization: Enhancing Efficiency, Sustainability and Quality of Life

Abstract

The integration of Artificial Intelligence (AI) into urban infrastructure has the potential to significantly enhance the operational efficiency, intrinsic value, and dynamic evolution of smart cities. In this paper, we explore the hypothesis that AI acts as a catalyst in the urban milieu, bringing about a transformative impact on the fabric of smart cities. The Human-centered AI Urbanized Smart City Balance Scorecard Analytical Framework is developed. Based on this framework, we conduct a SWOT analysis, drawing on data from numerous scholarly articles and urban AI applications, to examine the strengths, weaknesses, opportunities, and threats associated with AI urbanization. To substantiate our hypothesis, we provide an extensive synthesis of case studies, with a particular focus on the Top 5 IESE Cities in Motion Index 2024 Ranking paradigmatic use of AI to bolster its status as a global metropolis. We analyze the city’s smart initiatives, economic forecasts, and socio-technological integration to offer a nuanced understanding of AI's role in advancing urban ecosystems. The AI-Urbanized Strategic Rebuild Framework (AI-urbanized SRF) for post-war Ukraine is developed. By comparing the AI Urban Potential with envisioned outcomes, we can assess the actual impact and effectiveness of AI implementation in real-world situations. Our findings seek to present a comprehensive portrayal of AI’s potential to enhance the resilience, efficiency, and sustainability of smart cities, while also addressing the challenges that come with it.