中泰资管田瑀：AI时代的价值投资和科技投资并不对立 价值判断需满足三个条件

Group 1 - The differentiation in the market this year has sparked discussions on the relationship between value investing and technology investing, suggesting they are not mutually exclusive [1][6] - Value investing can encompass technology sectors as long as certain criteria are met, such as the ability to assess long-term demand, business models, and competitive advantages [1][4] - The development of AI is expected to accelerate demand growth in the semiconductor industry, which remains stable in its business model despite technological changes [1][6][22] Group 2 - The semiconductor industry, particularly wafer foundry and storage sectors, is seen as having a strong potential for growth due to AI's increasing computational demands [1][6][28] - AI has changed the computing paradigm, increasing the need for storage capacity and bandwidth, which has become a bottleneck in the industry [1][30][31] - The shift towards domestic semiconductor production in China is driven by the need for self-sufficiency, creating opportunities for local companies to develop competitive advantages [1][34][35] Group 3 - The slowing of Moore's Law is a recognized phenomenon, indicating that advancements in semiconductor manufacturing will occur at a slower pace [1][38][41] - The semiconductor manufacturing industry may evolve into a slower-changing sector, with challenges in scaling production and enhancing chip capabilities [1][42] - The importance of deep research and understanding of the semiconductor industry is emphasized, as it is crucial for evaluating business models and investment opportunities [1][19][21]