Core Viewpoint - The evolution of investment narratives in the technology sector, from "TECH BIG BANG" to "AI big model flywheel," reflects a deepening understanding of the macro and micro dynamics of technological innovation and its implications for investment strategies [1][3][7] Group 1: Investment Narratives - "TECH BIG BANG" was introduced in August 2024, highlighting AI as a major technological revolution driven by breakthroughs in computing power, algorithm evolution, and industry application expansion [3] - The transition to "AI big model flywheel" in 2025 indicates a shift from a focus on computing power and models to a feedback loop involving computing power, models, applications, and data, suggesting a systemic evolution rather than isolated breakthroughs [3][7] - The research perspective evolved from macro-level questions of "why" to micro-level inquiries of "how," expanding the focus from upstream hardware supply to downstream application efficiency and commercialization pathways [3][4] Group 2: Research and Organizational Implementation - A structured research framework is essential for translating investment narratives into actionable insights, with a focus on an AI-centric industry division across four levels: chip, cloud, end, and network [4] - The integration of research and fund management responsibilities is emphasized, creating a closed-loop system of research, trading, and review to enhance information flow and reduce errors [5] - The methodology includes global research and systematic learning, with increased investigations in North America, Japan, South Korea, and Southeast Asia, covering themes like AI servers and semiconductor manufacturing [5] Group 3: Performance and Verification - As of October 10, 2025, the total scale of funds managed by the company is approximately 5.566 billion, with notable performance metrics such as a 119.05% return for one fund, ranking 78 out of 4183 in its category [6] - The company advocates for a standardized approach to performance evaluation, emphasizing the importance of consistent metrics and comparisons to accurately reflect investment effectiveness [6] - The company acknowledges the volatility of the technology sector and stresses the importance of continuous research and organizational stability to navigate uncertainties and maintain long-term performance [7]

Core Viewpoint - The article emphasizes that the global AI large model has entered a "flywheel" positive feedback loop, integrating computing power, models, applications, and data, which is driving a new wave of technological innovation and investment opportunities in the tech sector [3][11][17]. Group 1: Market Trends and Performance - The tech sector has become the strongest industry trend in the A-share market, validating previous predictions about a "Tech Big Bang" [3][4]. - Three out of four funds managed by the company achieved over 100% returns in the past year, significantly outperforming their benchmarks [4][5]. - The performance of the funds reflects a strong investment strategy focused on AI and technology sectors [4][5]. Group 2: Research and Team Structure - The company has established a robust technology research team with a global perspective, conducting annual overseas research trips since 2011 to enhance their understanding of the tech landscape [6][7]. - The research team has expanded significantly during market downturns, doubling in size over the past three years, which has strengthened their competitive edge in tech investments [8][31]. - The team employs a detailed division of labor, categorizing the AI industry into four segments: chips, cloud, end, and network, with dedicated researchers for each segment [7][31]. Group 3: Investment Strategy - The investment strategy focuses on identifying "true growth companies" within the tech sector, emphasizing the importance of understanding the underlying technology and market dynamics [20][22]. - The company avoids concentrated investments in a single sector, instead diversifying across 2-3 core themes and selecting 5-7 stocks within each theme to balance risk and opportunity [24][25]. - The emphasis is placed on long-term value creation, with a disciplined approach to evaluating companies based on their future profit potential rather than short-term market fluctuations [24][26]. Group 4: Future Outlook - The company anticipates accelerated global AI innovation, with significant investments expected in AI models and related technologies in the coming years [27][28]. - There is a strong focus on self-sufficiency in hard technology, particularly in semiconductor manufacturing, as geopolitical tensions increase the need for domestic production capabilities [29]. - The Hong Kong stock market is viewed as a promising area for investment, featuring leading tech companies that are well-positioned for growth [29].