This paper informs the reader about the reasons behind inequality in urban planning, and how big data could be used to address these issues. Additionally, it highlights the current resistance towards artificial intelligence and highlights its potential applications in the future. Building the future of local economic growth and social inclusiveness in urban communities through artificial intelligence. The paper argues that artificial intelligence (AI) can facilitate local economic growth and social inclusion by helping governments and community groups to focus on integrated efforts to identify the needs of marginalized communities. In a world where many cities are struggling with economic disparity, social exclusion and the imperative to become more sustainable, AI can help to enact the changes needed to improve the lives of residents. The focus here is on local community-led initiatives that utilize data in a strategic way, but also employ AI to optimize resource allocation and plan for a more inclusive future. Applications include AI platforms that connect residents with jobs, social services and educational opportunities based on community needs. The paper shows how strategic and targeted AI implementation focusing on community needs can strengthen urban networks, reduce social divisions and help to create a more resilient social fabric.

Key-words: AI, local development, regional development, community-lead approach, win-win-win