The paper will explain the application of artificial intelligence (AI) to the analysis of green bonds and how the latter element can influence the corporate valuation and investors actions in the environment of the United Nations Sustainable Development Goals (SDG 13: Climate Action; SDG 9: Industry, Innovation, and Infrastructure). Green bonds have increasingly become a significant financial instrument in the financial raising process of financing sustainable projects, and the traditional approaches to evaluation might prove to be insufficient in their ability to interpret the complexity of the bond between the environment, financial performance and market hypotheses. This paper will discuss how data-intensive approaches can be used to enhance transparency, predict credit risk, and predictive analytics can influence pricing and investor confidence using AI-based models, such as disclosures analysis using natural language processing, credit risk using machine learning software, and pricing using predictive analytics. The data suggest that AI-based analysis can contribute to corporate responsibility and resiliency and also change how investors make their decisions by balancing financial and sustainability objectives.