（原标题：A股开盘速递 | 创业板指涨1.7% 人形机器人等板块涨幅居前） 东吴证券表示，历史上A股"春节效应"特征显著，节后资金有望"重振旗鼓"带动量价共振修复，A股有望迎来积极开局。春节休市期间全球股市多 数上涨，全球风险偏好较优。流动性层面，美联储降息路径虽存变数，但市场对全年流动性预期未显著恶化；离岸人民币汇率假期运行平稳。内 需方面，动能稳步修复。产业趋势层面，机器人、国产大模型在内的科技主线在假期期间持续发酵。后续来看，两会临近将进一步强化市场维稳 预期，白宫官员确认特朗普拟于3月底访华，有助于稳定市场对外部环境预期。 配置结构上，建议关注中期产业趋势确定性(错杀后弹性更大)和顺周期困境反转两条线索(传统经济全面复苏前缺乏赔率，但具备防御属性)。关 注：(1)AI与泛AI领域的云、国产芯片制造端(半导体设备、材料、封测等)、CPO相关环节、AI电力建设周边如燃气轮机、柴发液冷等，机器人产 业链；(2)"十五五"新兴产业品种如商业航天、量子、氢能、脑机接口等；(3)顺周期如化工、建材、消费龙头、工程机械等；(4)储能、战略资源品 (稀土等)。 东方证券：节后宏观和产业层面催化有望陆续出现，沪指有望继 ...

从春节前开始，中国科技产业掀起了AI"百模大战"，国产AI模型密集发布、持续升级。美国分析师直 言，中国科技给世界带来的震撼才刚刚开始。此外，国产模型发布后，多家国产芯片企业迅速宣布，完 成与模型的适配。对于芯片企业，所谓适配就是让大模型在自家芯片上跑起来，达到预期性能。有外媒 表示，本周中国发布的每一项新成果，都证明他们正在用更少的资源实现更大的突破。 来源：央视财经 ...

Group 1 - The trade friction between the US and China, which began in 2018, has led to significant global attention, with many experts suggesting that the US underestimated China's economic resilience and supply chain strength [1][3] - The US initially imposed tariffs on steel and aluminum, followed by additional tariffs on Chinese goods, but these measures resulted in increased costs for American consumers and farmers, while China successfully found alternative markets [3][4] - China's trade surplus with the US is projected to reach a new high of $1 trillion by 2025, indicating that the US's strategy to reshape its manufacturing base through tariffs has not been effective [4][6] Group 2 - Experts argue that the US's inconsistent policies have led to a perception that China is a more reliable partner, causing other countries to shift their trade relationships towards China [6][9] - The trade war has prompted China to enhance its technological self-sufficiency, particularly in sectors like semiconductors, as the US's restrictions have spurred increased domestic investment [3][11] - The global trade landscape has shifted, with countries initially aligning with the US now adopting a more cautious approach, recognizing China's strength and resilience in the face of trade pressures [9][11] Group 3 - The US's talent outflow, particularly in fields like artificial intelligence, has been exacerbated by policies that inadvertently push skilled professionals back to China [7] - China's strategic response to the trade war includes diversifying its markets and strengthening economic ties with emerging markets, which enhances its global influence [11] - The ongoing trade tensions have highlighted the vulnerabilities in the US economy, particularly its reliance on Chinese manufacturing, as the US struggles to find alternatives for many Chinese imports [6][11]

最近在美国一个财经论坛上，有人抛出一个问题：如果中国哪天不再向美国出售任何商品，中国还能继续繁荣吗？这话听上去像是在替中国担心，但细想 一下，更像是在试探中国的底气。 中美做生意这么多年，关系确实复杂。一边是合作，一边是摩擦。美国是中国的重要出口市场，这一点谁都承认。但说到"离不开"，事情就没那么绝对 了。2025年，中国对美出口比上一年明显下滑，金额从四千多亿美元降到两千多亿美元。原因很直接，美国提高关税，税率一层层往上叠。 表面看，是给中国商品加压。实际上，美国进口商要承担成本，美国消费者买单的价格也水涨船高。贸易结构并没有因此发生根本改变，只是部分订单转 向其他国家。商品还在流动，只是路径换了。 再看产业层面。美国从2018年起不断收紧芯片和技术出口限制，近几年还扩大范围，涉及先进计算领域。本意是卡住关键环节。但压力反而推动国内企业 加快研发。半导体行业规模持续扩大，国产芯片占比逐步提升。虽然仍有差距，但趋势已经出现变化。 很多企业过去习惯依赖进口设备和核心技术，如今不得不补短板。研发投入增加，产业链逐渐完善。这种过程并不轻松，但一旦形成体系，抗风险能力就 会增强。外部环境越复杂，内部调整越加速。 国际 ...

Group 1 - The Chinese technology industry has initiated an "AI model war" since before the Spring Festival, with a dense release and continuous upgrade of domestic AI models [1] - American analysts assert that the impact of Chinese technology on the world is just beginning [1] - Following the release of domestic models, several Chinese chip companies have quickly announced the completion of compatibility with these models, allowing large models to run on their chips and meet expected performance [1] Group 2 - Foreign media reports indicate that each new achievement released by China this week demonstrates the ability to achieve greater breakthroughs with fewer resources [1]

Group 1 - The Chinese AI industry is entering a new phase of commercial validation and large-scale application, with companies like Zhiyu Huazhang, MiniMax, TianShu ZhiXin, and BiRan Technology recently listing on the Hong Kong Stock Exchange and the Sci-Tech Innovation Board [1] - Domestic chip companies are facing a "bottleneck" dilemma under the ecosystem built by Nvidia, with some listed GPU companies experiencing significant stock price corrections after substantial increases, reflecting market scrutiny of their commercialization paths and long-term growth logic [1] - Since domestic chips cannot quickly catch up with Nvidia in absolute computing power, the focus is shifting to system efficiency and scene applicability, emphasizing "domestic adaptation" to enhance computing power utilization efficiency and accelerate the application of large models across various industry scenarios [1] Group 2 - Industry experts believe that breakthroughs in single-point technology are insufficient for winning the competition, and the collaboration of ecosystems, particularly the "mutual engagement" between models and chips, is crucial for the true autonomy of domestic AI [1] - Looking ahead to 2026, significant breakthroughs in large models are expected in areas such as reinforcement learning, model memory, and context engineering, moving from short context generation to long cognitive chain tasks and from text interaction to native multimodal capabilities, advancing towards the long-term goal of AGI [2] - The willingness of enterprise users to pay for AI-assisted programming tools is expected to increase, benefiting domestic AI large models and facilitating better commercialization as the business value of these tools in software development, data analysis, and business process automation becomes recognized [2] Group 3 - Relevant Hong Kong stocks related to AI large models include MINIMAX-WP (00100), Zhiyu (02513), and Kuaishou-W (01024) [3]

Group 1 - The Chinese AI industry is entering a new phase of commercial validation and large-scale application, with companies like Zhiyu Huazhang, MiniMax, TianShu ZhiXin, and BiRan Technology recently listing on the Hong Kong Stock Exchange and the Sci-Tech Innovation Board [1] - Domestic chip companies are facing a "bottleneck" dilemma under the ecosystem built by NVIDIA, with some listed GPU companies experiencing significant stock price corrections after substantial increases, reflecting market scrutiny of their commercialization paths and long-term growth logic [1] - Since domestic chips cannot quickly catch up with NVIDIA in absolute computing power, the focus is shifting to system efficiency and scene adaptability, emphasizing "domestic adaptation" to enhance computing power utilization efficiency and accelerate the application of large models across various industry scenarios [1] Group 2 - The industry consensus is that breakthroughs in single-point technology are insufficient for winning the competition; ecological collaboration, particularly the "two-way approach" between models and chips, is becoming crucial for the true independence of domestic AI [1] - Looking ahead to 2025, global large model technology capabilities are expected to advance, overcoming productivity scenarios and making significant progress in reasoning, programming, Agentic, and multimodal capabilities, although there are still shortcomings in model generalization stability and hallucination rates [1] - By 2026, further breakthroughs in large models are anticipated in areas such as reinforcement learning, model memory, and context engineering, moving from short context generation to long cognitive chain tasks and from text interaction to native multimodal, progressing towards the long-term goal of AGI [2] Group 3 - The commercial value of AI-assisted programming tools is gradually being recognized, leading to an increased willingness among enterprise users to pay for software development, data analysis, and business process automation scenarios, which is expected to benefit domestic AI large models [2] - Relevant Hong Kong stocks related to AI large models include MINIMAX-WP (00100), Zhiyu (02513), and Kuaishou-W (01024) [3]

Group 1 - The core idea emphasizes the importance of adaptability and innovation in driving China's development, likening opportunities to magnetic tiles that can be shaped in various ways [1][4] - The strategic planning in regions like Xiong'an New Area and the Yangtze River Delta demonstrates a shift towards collaborative development, breaking administrative boundaries to enhance regional synergy [1][2] - The transition from traditional growth models to new productivity paradigms is highlighted, with significant advancements in high-value industries such as industrial robotics and digital economy, contributing to economic resilience [2] Group 2 - The focus on human capital transformation from demographic dividends to talent dividends illustrates the potential of individuals in driving innovation and economic growth [3] - China's proactive role in setting international standards and moving from a follower to a leader in global value chains reflects its ambition to redefine its position in the global market [3] - The narrative underscores the resilience and vitality of a nation progressing towards modernization, driven by institutional advantages, market dynamism, and collective creativity [4][5]

Group 1 - The core viewpoint of the articles is that while the U.S. currently leads in AI due to its chip advantages, China is expected to have greater long-term potential in the AI field, particularly through innovation and application in real-world scenarios [1][4]. - China is facing challenges in chip computing power due to U.S. restrictions, but this has led to innovations in algorithms and training methods that allow Chinese AI models to perform comparably to U.S. models with less computing power [1][3]. - Open-source models from China have already surpassed similar products from the U.S., which can significantly aid in the promotion of Chinese AI models both domestically and internationally [1][4]. Group 2 - The Chinese government is heavily investing in its semiconductor industry, focusing on research, talent development, and infrastructure, which is crucial for the application of AI in the real economy [3]. - Despite some lag in certain areas, Chinese companies have identified suitable use cases for domestic chips, particularly in inference rather than resource-intensive model training, which narrows the gap with U.S. chips [3]. - China's strong capabilities in power generation and rapid scaling of data center construction provide a significant advantage, allowing for effective deployment of AI models in the economy [3][4]. Group 3 - China possesses a comprehensive ecosystem for AI development, leveraging its strengths in rare earth resources and processing, which is more important than merely focusing on the performance of large models [4]. - Continuous investment in talent cultivation, research, and infrastructure will not only lead to more AI patents but also alleviate the capital pressure and investment risks associated with building data centers [3].

Market Overview - The Shanghai Composite Index experienced fluctuations throughout the day, while the ChiNext Index rebounded after hitting a low. Semiconductor stocks strengthened in the afternoon, with photolithography machines and photoresists leading the gains, resulting in multiple stocks like Tongcheng New Materials and Kangqiang Electronics hitting the daily limit. The tourism sector was active, with stocks like Zhongxin Tourism and Shaanxi Tourism also reaching the daily limit. The non-ferrous metals sector saw gains, with stocks like Zinc Industry and Luoping Zinc Electric hitting the daily limit. Overall, more stocks declined than rose, with over 3,100 stocks in the Shanghai and Shenzhen markets in the red, and today's trading volume decreased by over 1 trillion to 2.94 trillion [1]. Hot Topics Photolithography Resins - The photolithography resin sector saw significant gains today, with stocks like Tongcheng New Materials, Baiao Chemical, and Dongcai Technology hitting the daily limit, while Su Da Weige and Shanghai Xinyang saw increases of over 15%. According to Frost & Sullivan, the domestic photolithography resin market is expected to reach 15.03 billion yuan by 2028, with a compound annual growth rate of 18.5% [4][5]. Lithium Batteries - The lithium battery sector rose today, with Lingpai Technology increasing by over 18%, and stocks like Keheng Co., Xianhui Technology, and Honggong Technology rising by over 10%. Tianfeng Securities predicts that the demand for power and energy storage batteries will reach 1,872 GWh and 2,236 GWh in 2025 and 2026, respectively, with year-on-year growth of 45% and 25% [6][7]. Domestic Chips - The domestic chip sector performed well today, with stocks like Sanfu Co., Unisoc, Wenkai Co., and Kangqiang Electronics hitting the daily limit. TSMC's latest quarterly results showed a significant increase in AI chip demand, with a 35% year-on-year growth in net profit for Q4 2025. TSMC expects sales in Q1 2026 to be between $34.6 billion and $35.8 billion, exceeding market expectations of $33.22 billion [9][10][11]. Longxin Technology - Longxin Technology has received IPO acceptance, being the fourth-largest DRAM manufacturer globally and the largest in China. The company plans to raise 29.5 billion yuan for production line upgrades and next-generation technology development, with expectations to complete most equipment installations by the end of 2027, which may boost domestic equipment demand and market share [12].