对科技趋势保持敏锐关注深挖阿尔法机会——访宏利成长混合基金经理孙硕

Core Insights - The AI computing sector is expected to continue its steady growth until 2026, while the AI application field is still in the technology trigger phase, exploring core technology and application scenario matching [3][9] - Investment focus will shift towards AI applications post-2026 as technology matures and commercial viability becomes a core development theme, but the demand for AI computing will continue to grow alongside application expansion [3][9] - The technology investment landscape is transitioning from a simple beta market to a more complex alpha discovery phase, with significant differentiation in the drivers of corporate earnings and valuation expansion [4][8] Investment Philosophy - The investment strategy emphasizes dynamic adjustments based on market conditions, focusing on high-growth sectors where corporate earnings can exceed expectations, even if stock prices have risen significantly [5] - The observation that high growth often corresponds with low valuations and vice versa is highlighted, suggesting a need to focus on the growth potential rather than merely matching growth with valuation [5] Risk Management - Two key signals are monitored for risk assessment: changes in industry penetration rates and significant shifts in core technology routes, which could lead to industry restructuring and potential risks for certain companies [6] Sector Performance - The A-share technology sector has shown strong performance since 2026, with a notable divergence in the drivers of stock price increases across different sub-sectors [8] - The core driver for AI computing is substantial corporate earnings growth, while sectors like robotics and commercial aerospace rely more on valuation expansion [8] AI Application Development - The AI application sector is still in the early stages, and the expectation for a significant breakthrough in 2026 should be approached with caution, as true disruptive AI applications will represent a new industrial paradigm [9] - Continuous monitoring of specific sub-scenarios is necessary to validate their commercial value as the industry evolves [9] Other Technology Investment Opportunities - Besides AI, other technology sub-sectors such as robotics, autonomous driving, and commercial aerospace are expected to experience significant growth as they reach critical technological and commercial milestones [10] - Emerging fields like quantum computing and brain-machine interfaces are still in the technology trigger phase, requiring long-term investment strategies and close monitoring for clear signals of commercial viability [10]