Soochow Securities·2025-12-14 14:23Group 1: Industry Changes - The computer industry in 2026 will witness a convergence of "industrial cycles" and "policy cycles," marking a decisive year for both existing tasks and new growth opportunities [2][3] - AI applications are expected to reach a critical point of explosion, transitioning from a phase of high expenditure to profitability, with significant scale deployment in vertical scenarios [11] - Domestic computing power has evolved from being a backup to becoming fully usable in training and inference for domestic large models, with 2026 anticipated to be a year of comprehensive replacement [12] - The completion of the "信创" (Xinchuang) initiative is set for 2027, making 2026 a peak year for bidding and delivery, with strong performance certainty for related companies [13] Group 2: Policy Changes - The "十四五" (14th Five-Year Plan) elevates commercial aerospace to a national strategic level, with 2026 expected to be a year of industry explosion driven by satellite networking and reusable rockets [6] - The low-altitude economy is transitioning from policy enthusiasm to industrial heat, with substantial construction expected in 2026 due to infrastructure standards and special bonds [6] - The integration of AI with various industries is emphasized in the "十四五" plan, aiming for deep integration in manufacturing, healthcare, transportation, and finance, which will enhance productivity and create greater economic value [20][36] Group 3: Investment Recommendations - Companies in the AI application sector should be selected based on their alignment with national policies and the "AI+" initiative, focusing on sectors like agriculture, industrial software, and healthcare [36] - Companies with strong foundational platforms and aggregation entry points for large models are recommended for long-term investment, such as Alibaba and iFlytek [37] - Data barrier companies that possess proprietary data to train models are crucial, with a focus on firms like 海天瑞声 (Haitian Ruisheng) and 同花顺 (Tonghuashun) [38] - Companies that dominate high-frequency usage scenarios, such as 金山办公 (Kingsoft Office) and 东方财富 (Eastmoney), are positioned to benefit significantly from AI integration [40]