“AI选股”热背后的冷思考

Core Viewpoint - The recent surge in A-shares has led to a trend of using AI tools for stock selection, raising questions about the reliability of these tools for investors [1][2]. Group 1: AI Tools in Stock Selection - AI tools like DeepSeek are gaining popularity among individual investors for stock selection, with many brokerages launching AI-based investment advisory services [1]. - The core advantage of AI tools lies in their ability to process vast amounts of data objectively and efficiently, eliminating human emotional interference [1][2]. - AI tools primarily analyze historical data to generate investment references, but their effectiveness is limited as they operate under the assumption that "history will repeat itself" [1][2]. Group 2: Limitations and Risks of AI Tools - AI lacks the ability to discern the authenticity of data, making it vulnerable to inaccuracies that can mislead investors, such as identifying fraudulent companies as quality stocks [2]. - The widespread adoption of similar AI models for stock selection may lead to homogenized trading strategies, increasing the risk of market volatility and "herding behavior" [2]. - AI-generated stock recommendations are often accompanied by disclaimers, emphasizing the need for investors to conduct their own due diligence [2]. Group 3: Professional Use of AI Tools - Institutional investors utilize AI tools to enhance investment efficiency, but decisions are still based on professional experience and market insights rather than solely on algorithms [3]. - AI tools are viewed as supplementary to the investment process, aiding in data analysis, pattern recognition, and risk warning, rather than replacing human judgment [3]. - The future of AI tools is anticipated to be more intelligent and reliable, with a focus on fostering a positive interaction between technology and capital markets to drive innovation and quality development [3].