Core Viewpoint - The article highlights the accelerating democratization of quantitative investment driven by AI technology, transforming traditional investment practices and enabling broader access to sophisticated trading strategies [1][2]. Group 1: AI Quantitative Strategies - Various trading software are beginning to incorporate AI quantitative strategy features, including strategy generation, intelligent portfolio adjustment, and risk control [1]. - Examples include the AI research assistant in the CICC app, which offers quantitative stock selection models, and the AI strategy toolkit in the Yuekai Securities app, which provides multiple strategy combinations for users [1][2]. Group 2: User Interaction and Experience - The shift from "tool-based" to "dialogue-based" trading software is changing the trading software ecosystem, making it more user-friendly and accessible [1]. - For instance, the Jianghai Securities app supports voice commands for stock purchases, while the Guoyuan Securities app provides visual heat maps for market conditions [2]. Group 3: Breaking Technical Barriers - The introduction of zero-code interactions allows ordinary investors to easily customize strategies, effectively bridging the gap between traditional language and quantitative decision-making tools [2]. - The AI strategy feature "Huiwen" from Dazhihui enables users to describe investment ideas in natural language, which the AI then translates into quantifiable strategies [2]. Group 4: Future Opportunities and Challenges - The ongoing advancements in AI technology may lead to a more complex investment ecosystem, with service providers needing to enhance their data infrastructure, strategy innovation, and compliance management to seize opportunities [3]. - Dazhihui plans to host an "AI Quantitative Strategy Simulation Competition" to foster talent in the quantitative investment field and promote strategy optimization [3].