春节档大模型“超级周”来临，半导体设备ETF（159516）强势吸金

Core Insights - The Chinese AI industry is experiencing a significant shift from "single-point breakthroughs" to "systematic iterations," as multiple domestic model manufacturers release flagship models simultaneously, enhancing market confidence in AI commercialization [1][3][4]. Group 1: Industry Developments - Major Chinese AI companies, including ByteDance, Zhipu, DeepSeek, and MiniMax, have launched new flagship models across various domains such as video generation, image generation, and programming, marking a collective advancement in the industry [1][3]. - Morgan Stanley has termed this phenomenon as the "Spring Festival release cycle," indicating that the simultaneous updates from multiple companies will accelerate market comparisons and shift market share towards the best performers [3][4]. Group 2: Market Dynamics - The perception of domestic large models has evolved from being "followers" to being competitive with global leaders in areas like coding and context handling, leading to increased willingness to pay and higher API workload retention rates [4]. - The marketing battle among AI applications during the Spring Festival has led to a surge in user engagement, validating the potential for explosive consumer traffic and creating a non-linear growth trajectory for inference computing demand [5][6]. Group 3: Long-term Trends - The AI investment narrative is shifting from "training-driven" to "inference-driven," with inference demand expected to become the main engine for computing growth starting in 2026, significantly expanding the market space compared to training [10][19]. - The supply side is undergoing generational upgrades, particularly in optical modules, with a projected demand increase of over tenfold for 1.6T optical modules by 2026 [12][19]. Group 4: Competitive Landscape - The commoditization of large models is leading to a redistribution of power in the platform layer, where differentiation is increasingly based on marketing capabilities, workflow ownership, and product iteration speed rather than just model strength [14][19]. - The semiconductor equipment sector is now closely tied to global AI computing cycles, with increased capital expenditures from overseas storage leaders driving expectations for domestic equipment companies [15][19]. Group 5: Investment Opportunities - The semiconductor equipment ETF (159516) is highlighted as a core investment vehicle, providing exposure to leading companies in the semiconductor equipment and materials sectors, with a current scale exceeding 20 billion [16][19].