Core Viewpoint - The asset management theme and allocation are undergoing a significant shift from the industrial era to the AI era, as articulated by Wang Zhongmin during the 2026 Global and China Capital Market Outlook Forum [1][4]. Group 1: Investment Logic - The risk logic transitions from "risk management" to "venture," where the essence of risk in the AI era is the uncertainty of technological innovation and market adaptation. The optimal investment approach is to diversify investments to minimize trial-and-error costs, allowing a few successful projects to cover the losses of many failures, thereby reducing the societal cost of technological progress to near zero. This model is reflected in both primary market fund-of-funds investments and secondary market ETF strategies [3][6]. - The return distribution logic relies on "open-source platforms with near-zero marginal costs." Open-source technology platforms provide infrastructure to innovators at almost zero marginal costs, allowing low exit costs for failures while successful innovators share profits with the platform. This creates a symbiotic relationship with numerous innovative entities, achieving minimal social costs and maximizing benefits for all parties involved [3][6]. - The development logic points towards the integration of AI and ESG (Environmental, Social, and Governance). Wang Zhongmin states that "the end of AI is ESG." The evolution of AI technology is driving optimization in energy consumption and material usage, transforming ESG factors from cost items into value-adding items. Innovative concepts like space computing centers exemplify the new combination of AI with sustainable goals [3][6].