Abstract

The integration of artificial intelligence into sustainable finance signifies a critical imperative of analytical foundations for ESG investing. This chapter introduces the concept of ESGI (ESG with Intelligence) as an emergent paradigm that systematically embeds AI-driven analytical methods into the evaluation, implementation, and optimization of ESG investments. It moves beyond traditional financial metrics by integrating unstructured information sources, enabling stakeholders to identify material ESG risks and opportunities. Using systematic literature review and conceptual analysis, it establishes how ESGI transforms investment decision-making into a dynamic data-driven system that aligns value with sustainability. It uses AI-driven applications of Natural Language Processing, Long Short-Term Memory, Explainable AI, Reinforcement Learning, Predictive Analytics, Semantic AI, IoT sensors. The study underscores the pivot from static ESG assessment to a dynamic AI-driven evidence-based ecosystem, enabling a more transparent, measurable, and impactful ESG finance architecture.