In the realm of sustainable investments, environmental, social, and governance (ESG) criteria are increasingly pivotal in decision-making processes. Leveraging AI to enhance ESG impact assessment in sustainable investments is a novel approach. This research explores the public perceptions—positive, negative, and neutral—toward AI-driven ESG impact assessment using sentimental analysis in textual data sources collected through feedback from financial working professionals. Sentiment analysis methods and natural language processing techniques implemented in R have been used to examine the feelings of the participants to identify patterns, trends, and insights about their online degree experience. Results depict AI to be a game-changing tool that may greatly improve the precision, effectiveness, and breadth of ESG assessments. There is a strong belief that artificial intelligence (AI) can evaluate vast amounts of data from many sources, revealing insights that traditional approaches would miss, and ultimately lead to more responsible and educated investment decisions. With hopes that artificial intelligence (AI) could increase accountability and transparency in ESG reporting, the positive opinion also reflects a general acceptance and enthusiasm for incorporating cutting-edge technologies in sustainable finance. By harnessing AI capabilities, investors can gain deeper insights into market sentiments, identifying opportunities aligned with strong ESG practices and mitigating risks associated with negative sentiments. This abstract outlines the potential benefits of AI-driven analysis in facilitating informed, transparent, and sustainable investment decisions.