Core Viewpoint - The article highlights the rise of fraudulent financial activities disguised as legitimate investment opportunities, particularly those leveraging AI technology, which pose significant risks to investors and disrupt market order [2][3]. Group 1: Fraudulent Activities - There has been an increase in accounts claiming to use AI tools for "high returns" without possessing the necessary qualifications, misleading investors into downloading fake apps for illegal trading activities [2]. - Some "financial influencers" promote AI stock trading courses without proper credentials, enticing users to join paid groups or purchase courses, leading to fraudulent schemes [2][3]. Group 2: Investor Caution - The promise of "guaranteed profits" and "high returns" is often a bait for ordinary investors, and basic financial principles indicate that high returns typically come with high risks [3]. - Investors are advised to verify the qualifications of AI tool providers and understand the decision-making logic and limitations of AI models before relying on them for investment decisions [3][4]. Group 3: Responsible Use of Technology - AI is not a mature tool that can guarantee investment outcomes, and investors should consider their risk tolerance and investment goals when making decisions based on AI conclusions [4]. - The technology itself is neutral, but its malicious misuse can lead to risks; maintaining vigilance and adhering to common sense while choosing legitimate channels is essential for leveraging technology effectively in investments [4].

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].