AI重塑科技投资周期！外资机构，最新判断来了

Core Viewpoint - Artificial intelligence (AI) is becoming the core variable driving a new investment cycle in the global technology industry, with expectations that by 2026, the semiconductor and technology sectors will enter a phase of multiple overlapping supercycles, characterized by synchronized improvements in key areas such as storage, capital expenditure, and computing infrastructure [1][2]. Group 1: AI-Driven Investment Dynamics - Multiple foreign institutions predict that AI will continue to be a core variable in 2026, reshaping the investment landscape of the semiconductor and technology ecosystem [2]. - The current transformations in the semiconductor and AI ecosystem indicate a shift from linear growth to a model characterized by multiple supercycles, structural bottlenecks, and rapid evolution of corporate implementation rhythms [2]. - Investors are advised to adopt proactive management strategies to navigate market volatility and valuation differentiation, focusing on long-term structural drivers and short-term market sentiments [2]. Group 2: Corporate Confidence and Economic Outlook - According to Fidelity International's analyst survey, corporate confidence is rebounding to its most optimistic level since 2020, driven by sustained investments in AI and related infrastructure [3]. - Analysts believe that the current global economy is experiencing one of the largest investment cycles in recent years, primarily fueled by AI [3]. - Concerns regarding technology sector valuations detaching from fundamentals are gradually easing as high levels of investment benefit the entire AI value chain [3]. Group 3: Structural Evolution in AI Industry - The evolution path within the AI industry is characterized by a "first infrastructure, then application" approach, with key directions identified for 2026 including the continuation of the storage supercycle and a comprehensive semiconductor capital expenditure supercycle [4][5]. - The semiconductor industry is entering a phase of multiple overlapping supercycles, driven by unprecedented growth in AI, with industry bottlenecks shifting from computational speed to storage bandwidth [5]. - The expansion of capital expenditure is being propelled by AI demand, geopolitical shifts, and the regionalization of global production capacity [5]. Group 4: Computing Power and Application Trends - The AI computing power sector is expected to steadily rise in 2026, with a robust development rhythm and continuous improvement in performance realization capabilities [5]. - The AI application sector is still in the technology trigger phase, exploring the alignment of core technologies with application scenarios [5].