Empowerment Mechanism and Practical Pathways of Artificial Intelligence in Green Financial Development
Under the dual carbon targets, green finance faces growing demand as a key channel for financing and low-carbon transformation, while Artificial Intelligence (AI) technologies are growing quickly with financial services. This gives AI opportunities to strengthen green finance operations. This paper systematically studies the empowerment mechanism of artificial intelligence in the development of green finance. From the three dimensions of information empowerment, risk empowerment and regulatory empowerment, it reveals the adaptability of AI technology and green finance and its role, and puts forward the practical path of AI to empower green finance in the future. Through the combination of case analysis and quantitative and qualitative methods, this study draws three main findings: AI can integrate dispersed environmental information to provide investors with a clearer decision-making basis; AI model evaluates environmental risks and credit risks more accurately than traditional tools; automated monitoring can find greening faster and at a lower cost. Behavior. At the same time, the study points out the technology, policies and market conditions needed to maintain these results, which provides a practical reference for making green finance more transparent, accurate and reliable with the help of AI.