Research on the Integration of Artificial Intelligence and Zero-Emission Technology in the Era of Digital Economy

Abstract

Against the dual backdrop of digital economy permeating all global socio-economic sectors and carbon neutrality goals becoming a worldwide consensus, the deep integration of artificial intelligence (AI) and zero-emission technologies has emerged as a pivotal pathway to drive industrial green transformation, address energy-environmental challenges, and achieve high-quality sustainable development. Grounded in the technological characteristics and development trends of the digital economy era, this study systematically analyzes the intrinsic logic and core mechanisms of AI-zero emission technology convergence. It examines practical applications and implementation outcomes in key sectors including energy, industry, construction, and transportation, while conducting in-depth analysis of current challenges such as computational energy consumption, technical barriers, data silos, and institutional deficiencies. Targeted optimization strategies are proposed encompassing technological breakthroughs, system architecture development, policy safeguards, and ecosystem cultivation. The research aims to provide theoretical foundations and practical references for deepening AI-zero emission technology integration, advancing zero-carbon society construction, and achieving coordinated progress between economic development and ecological conservation