各大券商分析师春节"连轴转" 每经记者｜王海慜 每经编辑｜何小桃 赵云 宋思艰 2026年马年春节假期，虽然A股休市，但资本市场却热度不减。 各大券商的分析师们开启"加班模式"，以高频路演、专题研报填补假期信息真空。从兴业证券策略团队的连续七天新春专题路演，到中信证券聚焦AI大模 型的系列电话会，再到多家机构跟踪春节消费动态，头部与中小券商均紧抓假期窗口输出市场观点。 《每日经济新闻》记者注意到，今年春节加班路演已经成为各券商研究所的常态，无论是中小券商还是头部券商都在假期中继续"营业"，"加更"观点。 港股马年开市两天呈现结构性行情，2月20日开市首日AI大模型、机器人板块逆势大涨，创新药、氢能概念股表现亮眼。2月20日和23日，恒生科技指数 走势先抑后扬，迎来马年"开门红"。 同时业内预计，美国此次关税裁定落地利好非美市场资产，叠加A股春节效应的历史正向表现，市场对马年节后"红包行情"的延续抱有较高期待。 截图来源：网络 最近，兴业证券策略首席张启尧的春节路演计划表在圈内刷屏：从大年初一至初七，他和团队同事一起每天15:00准时与投资者连线。 这场名为"新春专题系列"的直播，内容涵盖港股情绪研究框架、20 ...

Core Viewpoint - WeChat's recent restrictions on sharing links for AI applications from Alibaba and Tencent signify a significant shift in the competitive landscape of the AI industry, emphasizing the importance of technology and product implementation capabilities in the long run [5][6][8]. WeChat's Restrictions - WeChat has blocked the sharing of red envelope activity codes for Alibaba's Qianwen and Tencent's Yuanbao, preventing users from copying these codes in private and group chats [1][2]. - This is the second round of restrictions imposed by WeChat on leading AI products within a week, indicating a strategic move to control the competitive dynamics in the AI sector [1][5]. User Reactions and Market Impact - Users have reported issues with copying the Qianwen code, leading to perceptions of a "business war" among major AI applications [3]. - Yuanbao's official response acknowledged the situation and assured users that the activity is being optimized [4]. Background of Restrictions - WeChat's actions are part of a broader strategy to manage user experience and prevent disruptive sharing practices that could lead to user harassment [5]. - The restrictions were initially justified by WeChat as a measure against "induced sharing" and user harassment, reflecting the intense competition for social traffic and AI market share [5][6]. AI Market Dynamics - The competition among AI applications has intensified, with the Spring Festival period being a critical time for customer acquisition [6]. - Data shows that Yuanbao topped the Apple App Store free chart on the first day of its Spring Festival activity, while Qianwen quickly followed suit [7]. User Retention Challenges - The reliance on red envelope incentives for user acquisition has led to low retention rates, with many users downloading AI apps solely for short-term benefits [7]. - Experts suggest that while subsidies can drive downloads, long-term user loyalty and product competitiveness depend on deeper product capabilities and user engagement [7][8]. Future Directions - The AI industry is shifting from a focus on marketing battles to ecosystem and scenario-based competition, with WeChat's restrictions marking a pivotal moment in this transition [6][8]. - Companies must balance short-term customer acquisition with sustainable business practices, integrating AI into core scenarios like payment and social interaction to enhance user connection and retention [8].

Core Insights - The release of GPT-5 by OpenAI marks a significant advancement in AI model intelligence, but Grok 4's performance in the ARC-AGI test highlights the competitive landscape in AI development [1][5] - The competition in AI models is characterized by a dual focus on technological breakthroughs and practical applications, reshaping the industry dynamics [1][5] Group 1: Technical Competitiveness - The core competitiveness of large models lies in their technical strength, which includes model scale and architecture, training data and algorithms, and reasoning capabilities [2] - Larger models typically have more parameters, enhancing learning and generalization abilities, but mere size increase does not guarantee superior performance [2] - The quality and quantity of training data are crucial for model performance, with OpenAI leveraging extensive datasets across various formats [2] Group 2: Application and User Experience - The application scenarios for large models are expanding, moving from text generation to fields like healthcare, finance, and education, necessitating tailored solutions for specific industries [3][4] - Enhancing productivity through AI tools is a primary application direction, with models needing to integrate seamlessly into workflows to provide intelligent services [3] - Natural language interaction is central to user experience, requiring models to exhibit fluid dialogue capabilities and understand user intent and emotions [4] Group 3: Market Dynamics and Future Outlook - The competition among companies is intensifying, with a focus on technological innovation as a key driver for market share [4][5] - Companies are seeking differentiation through specialized models, emphasizing controllability, safety, and enhanced user experiences [4] - The future of AI competition will hinge on the ability to create intelligent, safe, and practical models, with a strong ecosystem and clear business models being essential for success [5]