Abstract: This research examines AI adoption’s impact on corporate ESG performance using Lasso-based empirical analysis and data science methodologies. Results confirm AI significantly enhances ESG performance, albeit with regional and sub-dimensional variations. AI technology based on 3D Unmanned Aerial Vehicle (UAV) programming is used to optimize pro-ESG development via single- and multi-objective approaches. Path simulations using Ant Colony Optimization (ACO), A*(Astar), and Rapidly-Exploring Random Tree (RRT) algorithms reveal regionally adaptive ESG patterns suited to hub-specific contexts, showing governance, efficiency, and demonstration effects. This study explores AI-driven sustainability, demonstrates interdisciplinary applications of 3D data and optimization technology in social computing science.

Keywords: AI; ESG; New Quality Productivity; Lasso; AI Computational Optimization

JEL codes: F23, M14, C61, O14

DOI: ...