Core Viewpoint - The article emphasizes the urgent need to prevent information pollution in the context of AI-generated financial recommendations, highlighting the potential biases and risks associated with AI marketing strategies in the investment industry [3][9]. Group 1: AI and Investment Recommendations - AI tools are increasingly used to generate investment recommendations, but their objectivity may be compromised by marketing influences from fund companies [6][9]. - A case study shows that an AI tool recommended three ETFs, all from the same fund company, raising concerns about the impartiality of such recommendations [4][6]. Group 2: Marketing Strategies in Fund Industry - The marketing landscape for public funds is shifting from traditional search engine optimization to Generative Engine Optimization (GEO), which prioritizes specific brands and products in AI-generated responses [7]. - Reports indicate that a fund's recommendation rate in AI systems can significantly increase through targeted marketing efforts, with one fund's visibility rising from 8% to 69% after optimization [7][8]. Group 3: Risks of Information Pollution - The practice of feeding AI with biased data can lead to information pollution, making it difficult for investors to discern objective recommendations from marketing-driven content [9]. - Investors relying solely on AI-generated recommendations may fall into traps of algorithmic bias and hidden interests, especially if the marketing support ceases [9][10]. Group 4: Investor Education - It is crucial for investors to enhance their financial literacy and view AI as a tool for data collection rather than a decision-making authority [10].