今天分享的是：2026美国互联网行业AI代理购物持续推进 报告共计：11页 AI代理购物赛道竞争白热化 科技巨头各显神通重塑消费体验 2026年伊始，美国互联网行业围绕人工智能代理购物的布局与竞争陡然加速。各大科技公司不再满足于仅作为流量入口或交易平台，而是积极推动AI深度 介入购物全流程，旨在成为用户消费决策的核心代理。这一趋势不仅标志着电商体验的又一次革新，也预示着行业生态与竞争格局将面临深刻重塑。 谷歌近期动作频频，其推出的通用商务协议成为行业焦点。这一开源标准旨在解决长期困扰AI购物发展的核心难题——商品数据碎片化与库存信息不一 致。通过联合主流支付方与大型零售商，该协议构建了一个标准化的数据桥梁，使得AI助手能够直接、可靠地获取实时商品信息与库存状态。此举显著提 升了AI推荐的准确性与交易流畅度，用户可在谷歌搜索及Gemini应用中实现无缝下单。相比之下，一些较早涉足此领域的对话式AI，因受限于数据质量， 其购物功能的实际使用率与转化效果尚未达预期，凸显了底层数据生态建设的重要性。 微软与亚马逊亦不甘示弱，从不同路径切入战场。微软通过与知名电商服务商及品牌合作，推出了集成于其Copilot聊天界面的 ...

AI正在重塑人机交互范式——用户从搜索关键词转向直接向聊天框提问。据Gartner预测，到2026年，25%的在线搜索将通 过AI聊天机器人完成。面对资本市场的回报压力，AI厂商亟需证明其商业价值，广告成为最直接的变现路径。 2026年1月，谷歌和OpenAI相继宣布，将在其人工智能工具中推送广告，并在一定范围内开始试水。Meta早在2025年10月 已经公开表示，用户与Meta AI的互动将很快被用来投放个性化广告，并据此修改了隐私协议。 然而，广告的性质却与AI的形象和承诺具有结构性冲突。一个被认为可以超越人类偏见、高效获取信息的"超级大脑"，突 然预装了"推销员"指令，客户将感受到某种不适，甚至是"背叛"。这就像你本来想跟一位专家请教知识，甚至期待一次顿 悟时刻，结果却被套路，买了一款专家能从中抽成的产品。现代人并不惧怕形形色色的营销和广告，但在"求知"中被推 销，却可能严重侵蚀用户对AI刚刚建立起的信任。 更重要的是，广告是否和如何植入AI，将成为各路厂商历史性选择的一个岔路口——AI产品的本质和终极价值是什么？将 广告信息融入大模型之中，究竟是系统性升级还是降级？它对人类生活是有益还是毒害？ 一、谷 ...

Investment Rating - The report maintains a "Positive" investment rating for the software and services industry [7] Core Viewpoints - The report expresses optimism regarding AI applications and domestic computing power investment opportunities, highlighting the acceleration of AI applications and the potential for industry upgrades in the long term [6][40] - The introduction of the Universal Commerce Protocol (UCP) by Google is seen as a significant development that could reshape the e-commerce landscape, facilitating seamless transactions and enhancing user experience [21][24][28] - The report emphasizes the importance of data element value release in 2026, marking it as a pivotal year for the digital economy and data market reforms [30][35][38] Summary by Sections Market Performance - Last week, the computer sector experienced a high and then a pullback, with an overall increase of 4.14%, ranking first among major industries in the Yangtze River region, and accounting for 11.21% of total market turnover [2][4][15] Key Recommendations - The report recommends focusing on: 1. Domestic large model manufacturers 2. Major domestic cloud service providers 3. Vertical scenario agent manufacturers 4. The domestic computing power supply chain, particularly AI chip companies like Haiguang Information and Cambrian [6][40] AI and E-commerce Developments - The UCP aims to create a standardized communication framework for AI agents, merchants, and platforms, potentially transforming the e-commerce industry by reducing decision-making time and enhancing transaction efficiency [21][24][28] - The report notes that AI-assisted shopping is expected to become mainstream, with significant growth projected in the AI e-commerce market from 23.93 billion yuan in 2020 to 50.44 billion yuan by 2024, with a compound annual growth rate of 20.50% [29] Data Element Value Release - The report highlights that 2026 is designated as the "Year of Data Element Value Release," with a focus on market-oriented reforms and the establishment of data standards to facilitate the flow and utilization of data [30][35][38] - The establishment of a data property rights registration system is anticipated to enhance data circulation and unlock value within the data economy [37][38]

Core Viewpoint - The article discusses the emergence of a new commercial paradigm driven by AI, focusing on the establishment of foundational protocols and industry standards for secure and trustworthy AI-driven transactions [2][10]. Group 1: ACT Protocol Overview - The ACT (Agentic Commerce Trust Protocols) was launched by Alipay on January 16, marking China's first open protocol aimed at agent commercial needs, facilitating cross-platform and cross-terminal AI collaboration [2][3]. - The ACT protocol addresses key issues such as user authorization for AI operations, security in financial transactions, and maintaining a seamless service experience across devices [5][11]. - The protocol includes four core infrastructure standards: delegated authorization domain, commercial interaction domain, payment service domain, and trust service domain, ensuring traceability and verification of AI operations [5][12]. Group 2: Payment Models and Use Cases - The ACT protocol supports two payment modes: instant payment, where users authorize transactions in real-time, and delegated authorization, allowing users to set conditions for automated transactions [9]. - It is applicable in various scenarios such as AI-assisted ordering, purchasing, and enterprise automation procurement, enhancing efficiency and user experience [9][12]. Group 3: Competitive Landscape - Other tech giants like OpenAI and Google are also developing their own AI commercial protocols, indicating a competitive race to establish standards for AI-driven commerce [10][12]. - OpenAI has partnered with PayPal to integrate payment and risk management capabilities into ChatGPT, while Google has launched the Universal Commerce Protocol (UCP) with major retail players [9][10]. Group 4: Importance of Standardization - The emergence of protocols like ACT and UCP is essential for creating a universal "transaction infrastructure" for the AI commercial world, enabling seamless interaction among AI, merchants, and payment institutions [11][12]. - Without standardized protocols, the AI ecosystem faces significant barriers to innovation and user experience due to fragmented systems requiring complex API integrations [11][12].

Core Insights - The article discusses the emergence of a new commercial paradigm driven by AI, focusing on the establishment of foundational protocols and industry standards for secure and trustworthy AI-driven transactions [1][4][10] - Major tech players like OpenAI, Google, and Alipay are competing to create these standards, marking a shift from algorithmic competition to the construction of future commercial ecosystems [1][8] Group 1: ACT Protocol Overview - Alipay launched the ACT (Agentic Commerce Trust Protocols) on January 16, aimed at facilitating safe and efficient cross-intelligent agent collaboration in e-commerce and delivery scenarios [2][4] - The ACT protocol is designed to address key issues such as user authorization for AI operations, security in financial transactions, and maintaining service continuity across devices and applications [4][7] - The protocol includes four core infrastructure standards: Delegated Authorization Domain, Commercial Interaction Domain, Payment Service Domain, and Trust Service Domain, ensuring traceability and verification of AI operations [4][7] Group 2: Payment Models and Compatibility - The ACT protocol supports two payment models: Instant Payment, where users authorize payments in real-time during AI interactions, and Delegated Authorization, allowing users to set conditions for automated transactions [7][8] - The protocol adheres to principles of compatibility, privacy, and openness, ensuring it can adapt to existing commercial and payment systems while evolving with AI technology [7][10] Group 3: Competitive Landscape - Other tech giants are also developing their own AI commercial protocols, such as OpenAI's partnership with PayPal and Google's Universal Commerce Protocol (UCP) with major retailers [8][9] - The competition among these protocols indicates a shift in focus from language model capabilities to the practical implementation of AI in commercial settings [8][9] Group 4: Importance of Standardization - The establishment of protocols like ACT and UCP is crucial for creating a unified "transaction infrastructure" for the AI commercial world, enabling seamless interactions among AI, merchants, and payment institutions [9][10] - Without common standards, the AI ecosystem faces significant barriers to innovation and user experience due to the complexity of point-to-point API integrations [9][10]

Core Insights - Alibaba's Qianwen App has integrated with various services within its ecosystem, enabling AI-driven shopping functionalities for users globally, marking a significant advancement in digital commerce [1] - The app has achieved over 100 million monthly active users within two months of launch, showcasing strong user engagement and demand for AI services [1] - Alibaba's VP emphasized the shift of AI from a supportive role to a leading role in digital tasks, predicting that 60%-70% of routine tasks will be executed by AI in the next two years [3] Group 1 - The Qianwen App allows users to perform multiple tasks such as ordering food, shopping, and booking travel seamlessly, enhancing user experience by reducing the need to switch between different applications [1] - The app's capabilities are driven by three key advancements: improved coding ability, full-modal understanding, and extended context processing, which are essential for handling complex tasks [3] - The industry consensus is that Artificial General Intelligence (AGI) is evolving from chat-based interactions to more agent-like functionalities, enabling closer integration with the physical world and enhancing productivity [3] Group 2 - Google is also focusing on AI shopping assistants, collaborating with major retailers to develop its chatbot, Gemini, into a virtual shopping assistant [3] - At the NRF annual meeting, Google, along with companies like Shopify and Walmart, introduced a new open standard called Universal Commerce Protocol (UCP) aimed at streamlining the shopping process by eliminating the need for separate connections with different agents [4]

Core Insights - The development of intelligent agents has accelerated significantly at the beginning of 2026, with notable advancements from companies like Anthropic and Alibaba [1][11] - Anthropic's release of Cowork aims to revolutionize the workplace by integrating large models with intelligent agent capabilities for general users, not just programmers [1] - Alibaba's Qianwen App has introduced a new AI Agent feature called "Task Assistant," which integrates with Alibaba's ecosystem to offer over 400 new functionalities for free [2][4] Group 1 - The Qianwen App can automate tasks such as ordering food by simply stating preferences, streamlining the entire process from selection to payment [5][20] - Users can consult the Task Assistant for shopping decisions, which can provide recommendations and direct links to payment [7][9] - The Task Assistant has demonstrated its ability to handle complex tasks like multi-brand group purchases, significantly reducing the time and effort required for users [12][18] Group 2 - The Task Assistant can create detailed travel plans, such as a two-day itinerary for a trip to Weihai, by analyzing user needs and sourcing information from various platforms [22][27] - The assistant integrates with Alibaba's services, allowing users to navigate, book tickets, and manage travel logistics seamlessly [29] - The interaction model has shifted from dialogue with a large model to task delegation to an intelligent agent, marking a significant evolution in user experience [31] Group 3 - Qianwen's Task Assistant is built on a new universal agent system that enhances task execution efficiency and accuracy through a hierarchical planning approach [33] - The system allows for continuous learning and improvement, enabling agents to refine their capabilities based on past experiences [35] - The integration of AI coding capabilities allows the assistant to autonomously generate tools for less common tasks, enhancing its functionality [36] Group 4 - The AI sector is entering a product explosion phase, with new offerings from various companies, including Anthropic and OpenAI, indicating a rapid evolution in intelligent agent applications [38] - Qianwen's launch is compared to the introduction of the first iPhone, suggesting it could signify a transformative moment in the AI landscape [38] - The shift from AI as a distant entity to a practical assistant in daily tasks represents a pivotal change in human-machine interaction [38]