Since the start of this year, a number of public fund companies have intensified their efforts to explore the fusion of active (subjective) and quantitative investment strategies. These firms have not only integrated AI-driven stock-selection models into their investment research frameworks but have also infused subjective, logic-based factors into quantitative models. In some institutions, the subjective and quantitative teams now collaborate closely to dissect market dynamics. The private equity sector is following suit. According to multiple sources, institutions that blend logical reasoning with statistical analysis have been particularly favored by funds this year, with the ultra-integrated strategy—combining active and quantitative approaches—gradually gaining momentum. Industry experts anticipate that as trading becomes increasingly complex, the AI era unfolds, and market dynamics accelerate, the once-distinct boundaries between active and quantitative investments will continue to blur, ushering in a new era of investment strategy convergence.