Green-curious retail investors and unmediated interactions with GenAI

• Reviews recent research on GenAI use by retail investors and on green investing. • Analyzes how green-curious investors may interact directly with ChatGPT. • Simulation with ChatGPT-4o and ChatGPT-5 tests responses to investor-style queries. • Finds GenAI often omits key green investment factors unless specifically prompted. • Sets out five research directions on GenAI and green finance for retail investors. This paper examines how generative AI (GenAI) tools such as ChatGPT respond when green-curious retail investors seek investment advice through unmediated, prompt-based interactions. Motivated by climate concern, these investors may lack financial or climate literacy and may prefer GenAI tools to human advisors, robo-advisors, or platform-integrated systems. Drawing from prior research on investor interactions with GenAI and on information critical for making green investment decisions, we conducted a prompt-based experiment using ChatGPT-4o and ChatGPT 5. Results show that ChatGPT encouraged green investing across all queries, but the inclusion or omission of decision-critical information varied widely. Key considerations, such as lower expected returns relative to other investments, greenwashing and confusing label warnings, and distinctions between ESG and climate-aligned products, often were surfaced only when explicitly prompted. These findings highlight the importance of GenAI literacy along with climate and financial literacy in shaping investor outcomes. We propose a research agenda to examine how GenAI tools inform or mislead retail investors in unstructured settings and to guide investor education, system design, and policy development for responsible GenAI use in retail finance.