天弘基金策略会：AI投资正向应用端扩散；把握再工业化下的“铜锂”机遇

Group 1 - The global economy is experiencing a "divergence" and "restructuring," with AI transitioning from capital expenditure to application implementation, driven by large-scale fiscal investments and manufacturing return [2] - The U.S. has positioned AI as a strategic core for scientific breakthroughs and national security, focusing on advanced manufacturing, quantum technology, biomanufacturing, chips, new materials, and nuclear fusion, which align with China's "14th Five-Year Plan" priorities [2] - Global industrial chains are undergoing profound restructuring due to geopolitical changes, technological transformations driven by AI, and sustainable development initiatives [2] Group 2 - China's outbound investment process shows similarities to Japan's in the late 1980s, indicating significant potential for further expansion [3] - In 2025, various funding channels are expected to support the A-share market, with structural highlights in China's economy benefiting public and private fund holdings [3] - Investment focus is shifting from "hard" AI to "soft" applications, with current emphasis on computing chips and infrastructure, and future expansion into AI software and green energy sectors [3] Group 3 - AI investment is moving from hardware to demand-side validation and domestic breakthroughs, with three key areas to watch: performance improvement of domestic computing chips, fundamentals of semiconductor equipment manufacturers, and the emergence of popular domestic AI applications [4] - Global re-industrialization is driving demand across the entire advanced manufacturing supply chain, particularly for industrial metals like copper, lithium, cobalt, aluminum, and nickel, making certain Chinese industries attractive for investment [4] - In 2026, opportunities in cyclical commodities and service consumption investments are expected to become more apparent compared to 2025 [5]