Core Insights - The fund advisory pilot program has been in place for six years but still faces challenges such as user awareness, a relatively single business profit model, and a mismatch between service content and client needs [1][4][9] - Regulatory bodies are pushing for the transition of fund advisory from pilot to regular status, with suggestions to expand investment options beyond current limitations [1][9] Group 1: Current Challenges - User awareness needs improvement, and ordinary investors tend to focus on short-term returns, leading to a single profit model and insufficient client engagement [4][5] - Various institutions are proposing solutions, such as enhancing user education and trust through knowledge dissemination and personalized service [4][5] - The need for a diversified fee structure is highlighted, with suggestions for performance-based advisory fees to align interests between advisors and investors [5] Group 2: AI Integration - AI technology is becoming a core driver for enhancing advisory services, with institutions using AI tools to improve efficiency and personalize client interactions [6][8] - AI applications are being integrated into all stages of the advisory process, from pre-investment to post-investment analysis [6][7] - Institutions like Yingmi Fund are developing specialized AI models to address the unique challenges of the financial sector, aiming to enhance service quality and user experience [7][8] Group 3: Regulatory Developments - The China Securities Regulatory Commission (CSRC) is actively working on regulations to facilitate the transition of fund advisory services to a regular framework [9][10] - There are calls for a unified qualification certification system for fund advisors and the introduction of advisory services in personal pension accounts [10][12] - The CSRC has proposed including various investment products, such as ETFs and other financial instruments, to enrich the advisory service offerings [11][12]