Group 1 - The core viewpoint of the articles highlights the dual nature of AI in finance, where it enhances convenience and efficiency but also opens avenues for scams targeting investors [1] - The rise of AI tools such as smart investment advisors and quantitative trading has transformed the financial landscape, providing investors with more options [1][5] - There is a growing concern about fraudulent activities disguised as legitimate AI investment opportunities, necessitating vigilance among investors [1][5] Group 2 - The "AI Quant" scam involves individuals using the guise of AI trading models to lure investors into paying for services that ultimately lead to losses [2][3] - A specific case illustrates a social media influencer who promised high returns through an AI trading model but failed to deliver, resulting in financial losses for followers [3][4] - Investors are advised to verify the credentials of investment consultants and be cautious of promises made by financial influencers [4] Group 3 - The hype surrounding AI has led to speculative investments in companies claiming to develop AI technologies, often without substantial backing [5][6] - A case study shows a listed company whose stock price surged due to claims of developing an "industry AI model," only to see a significant drop when the project was revealed to be in its early stages [6][7] - Investors should conduct thorough due diligence on AI-related companies, focusing on their actual technological progress and business fundamentals [7][8] Group 4 - AI tools should be viewed as aids in decision-making rather than replacements for independent judgment, as they are based on historical data and cannot predict unforeseen market events [8] - The importance of maintaining a rational approach to investing, regardless of technological advancements, is emphasized to ensure long-term financial security [8]