Core Insights - The article highlights the significant impact of AI payment services, particularly Alipay's AI payment, which has achieved over 1.2 billion transactions in just one week, marking a milestone in the integration of AI into everyday consumer transactions [2][5][13]. Group 1: AI Payment Breakthrough - The "Qianwen" app initiated a massive 30 billion yuan subsidy campaign, resulting in over 10 million AI order placements within 9 hours, showcasing the explosive capability of AI in consumer scenarios [1]. - Alipay's AI payment service has become the world's first AI-native payment product to surpass 1 billion transactions, indicating a shift in payment paradigms [2][5]. - The success of Alipay's AI payment is not an isolated incident; it follows the earlier achievement of over 100 million daily transactions with the "Tap to Pay" feature, demonstrating a broader trend of AI and new consumption models emerging [7]. Group 2: Redefining Transaction Paradigms - Alipay's AI payment has restructured the interaction logic from "users seeking services" to "services embedded in conversations," allowing users to access various services through natural language within a single app [11]. - A new trust mechanism has been established, leveraging 20 years of user trust to ensure secure payments through identity verification and a multi-dimensional risk control system [12]. - The year 2026 is being recognized as the "Year of AI Agent Payments," with a consensus forming around the transition from auxiliary roles to execution capabilities in payment systems [12]. Group 3: ACT Protocol and Future Implications - Alipay's introduction of the ACT (Agentic Commerce Trust) protocol facilitates standardized multi-tasking and collaboration among AI agents, paving the way for scalable and replicable AI payment solutions [14][15]. - The timing of Alipay's ACT protocol coincides with Google's launch of a universal commerce protocol, indicating a synchronized approach among tech giants in redefining commercial systems for AI agents [16]. - The ACT protocol aims to establish new rules for commercial interactions, focusing on "delegated authorization" and creating traceable, verifiable transaction logs for AI-executed trades [17].

Core Insights - The article highlights the significant impact of AI payment services, particularly Alipay's "AI Pay," which has achieved over 1.2 billion transactions in just one week, marking it as the world's first AI-native payment product to surpass this milestone [3][4][5]. Group 1: AI Payment Breakthrough - The "Qianwen" app initiated a massive 30 billion yuan subsidy campaign, resulting in over 10 million AI order placements within just 9 hours, showcasing the explosive capability of AI in consumer scenarios [1]. - Alipay's "AI Pay" has integrated payment directly into AI applications, eliminating the need for users to navigate away from the app for transactions, thus enhancing user experience [1][4]. Group 2: New Interaction and Trust Mechanisms - The shift from "users seeking services" to "services embedded in conversations" represents a fundamental change in interaction logic, allowing users to access various services through natural language within a single app [4][5]. - Alipay has established a trust network for its AI payment service, utilizing a multi-dimensional risk control system and user identity verification methods to ensure secure transactions [5]. Group 3: Industry Evolution and Future Prospects - The introduction of the ACT (Agentic Commerce Trust) protocol by Alipay signifies a new standard for AI-driven transactions, addressing the need for a structured approach to AI executing user intentions [6]. - The ACT protocol aims to create a traceable and verifiable operation log for AI-executed transactions, positioning Alipay as a leader in the evolving landscape of AI payment infrastructure [6][7].

Core Viewpoint - JD Technology has launched a new payment method called "JD AI Pay," which integrates its self-developed JoyAI model, featuring multi-modal understanding, contextual awareness, and real-time risk interception [3][4]. Group 1: JD AI Pay Features - "JD AI Pay" allows users to make payments without leaving the payment page or manually entering passwords, significantly simplifying the transaction process [3]. - The system can accurately identify user intent and dynamically verify identity based on environmental factors, biometric features, and behavioral habits [3]. - The payment method has been implemented in two scenarios: through the JoyAI App and JD's smart glasses, JoyGlance, enabling voice-activated purchases [3]. Group 2: Security Measures - To ensure fund security, JD AI Pay employs an end-cloud collaborative risk control architecture, conducting local voiceprint and liveness detection while analyzing transaction risks in real-time [3]. - If any anomalies are detected, such as non-personal voice or high-risk merchants, the process will be interrupted, triggering secondary verification [3]. Group 3: Competitive Landscape - JD Technology's entry into the AI payment sector is part of a broader trend, with Alibaba also launching the ACT protocol to facilitate AI interactions across platforms [5][6]. - The ACT protocol allows AI to execute order operations while keeping payment authorization under user control, enhancing user experience [6]. - Internationally, companies like Google and Anthropic are developing their own protocols, focusing on communication standards and security boundaries for AI agents in payment processes [7][8]. Group 4: Strategic Analysis - Analysts suggest that JD's approach focuses on consumer experience innovation, while Ant Group emphasizes risk control to build merchant trust, creating a differentiated competitive landscape [8]. - The competition in the AI payment sector is shifting from technical superiority to seamless user experience and ecosystem development, indicating a need for internet giants to innovate rapidly [8].

Investment Rating - The report maintains an "Outperform" rating for the media industry [4][38]. Core Insights - The media industry has shown a 3.44% increase, outperforming both the CSI 300 (-0.57%) and the ChiNext Index (1.00%) during the week of January 12-16 [11][12]. - Key companies that performed well include Yidian Tianxia, Liou Shares, People’s Daily, and Visual China, while companies like ST Fanli, Liansheng Technology, Beitou Technology, and Diguang Media faced declines [11][12]. - Bilibili launched a one-stop AI marketing tool, "Bilibili Bid," aimed at enhancing advertising efficiency for brands [15][16]. - Google’s Veo 3.1 received a significant upgrade, improving its video generation capabilities [15][16]. - OpenAI released the GPT-5.2 Codex programming model, enhancing its performance for complex software development tasks [15][16]. - The Qianwen App introduced over 400 new features, covering various services from food delivery to AI tutoring [17]. Summary by Sections Industry Performance - The media sector's performance ranked third among all sectors, with a notable increase of 3.44% [11][12][13]. Key Company Updates - The report highlights the strong performance of companies like Yidian Tianxia and Liou Shares, with significant weekly gains [11][12]. - The report provides earnings forecasts for key companies, indicating a positive outlook for firms like Kayi Network and Jibite [4][38]. Market Trends - The film box office for the week was 259 million yuan, with top films including "Nishan" (58 million yuan), "Zootopia 2" (53 million yuan), and "Avatar 3" (45 million yuan) [17][19]. - In the gaming sector, the top-grossing mobile games in December 2025 were "Whiteout Survival," "Gossip Harbor: Merge & Story," and "Kingshot" [26][27]. AI and Technology Developments - The report emphasizes the acceleration of AI applications in the media industry, particularly in marketing and content creation [3][36]. - Companies are encouraged to explore investment opportunities in AI-driven sectors, including AI marketing and content services [3][36].

Investment Rating - The report maintains an "Outperform" rating for the media industry [4][36]. Core Insights - The media industry has shown a 3.44% increase, outperforming both the CSI 300 (-0.57%) and the ChiNext Index (1.00%) during the week of January 12-16 [11][12]. - Key companies that performed well include Yidian Tianxia, Liou Co., People's Daily, and Vision China, while companies like ST Fanli and Liansheng Technology saw declines [11][12]. - Bilibili launched a one-stop AI marketing tool, "Bilibili Bid," aimed at enhancing advertising efficiency [15][16]. - Google released a significant upgrade to its AI video generation model, Veo 3.1, enhancing its practical applications [15][16]. - OpenAI introduced the GPT-5.2 Codex programming model, which significantly improves performance and reliability for long-term tasks [15][16]. - The Qianwen App launched over 400 new features, marking a significant advancement in AI capabilities [15][17]. Summary by Sections Industry Performance - The media sector's performance ranked third among all sectors, with a notable increase of 3.44% [11][12][13]. Key Company Updates - The report highlights the strong performance of companies like Yidian Tianxia, which saw a 54% increase, and Liou Co., which increased by 39% [12]. - The report also provides earnings forecasts for key companies, indicating a positive outlook for firms like Kayi Network and Jibite [4]. Market Data - The total box office for the week was 259 million yuan, with the top three films being "Nishan" (58 million yuan), "Zootopia 2" (53 million yuan), and "Avatar 3" (45 million yuan) [2][19]. - In the gaming sector, the top three mobile games in December 2025 were "Whiteout Survival," "Gossip Harbor: Merge & Story," and "Kingshot" [26][27]. Investment Recommendations - The report emphasizes the potential of AI applications in the media sector, particularly in marketing and content creation, suggesting investment opportunities in companies like Zhejiang Wenlian and Huimai Technology [36]. - It also notes the expected growth in the gaming sector driven by new product cycles and AI integration, recommending companies such as Giant Network and JiBit [36].

Core Insights - The ACT protocol (Agentic Commerce Trust Protocol) has been launched by Alipay in collaboration with various partners to create an open technical framework designed for AI-driven commercial needs, facilitating seamless collaboration between AI and e-commerce platforms [1][5] Group 1: ACT Protocol Overview - The ACT protocol aims to establish a "universal language" for AI task execution across different terminals, systems, and platforms, enhancing convenience and efficiency in transactions [1] - It addresses key concerns regarding user authorization for AI operations, security in financial transactions, and maintaining a consistent service experience across devices and applications [2][4] Group 2: Functionality and User Experience - The protocol allows for automated transaction processes, significantly reducing manual intervention and improving service efficiency, while ensuring that payment processes remain user-led or authorized [4] - Two payment modes are provided: Instant Payment, where users interact with AI in real-time for immediate transactions, and Delegated Authorization, allowing users to set parameters for AI to autonomously complete transactions [4] Group 3: Compatibility and Future Development - The ACT protocol adheres to principles of compatibility, privacy, and openness, ensuring it can adapt to existing commercial and payment systems while evolving with advancements in AI technology [5] - Alipay is actively encouraging more payment service providers, merchants, AI developers, and smart device manufacturers to join in refining the protocol and building a new ecosystem of AI commerce trust [5] Group 4: Industry Context - The rise of AI-native applications is making payment processes a focal point for global tech companies, with similar initiatives being launched by OpenAI and Google to enhance AI-driven transaction capabilities [5]

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]

Group 1 - The Hong Kong internet sector is experiencing low-level fluctuations, with the CSI Hong Kong Internet Index down over 1% as of 14:45 on January 16 [1] - The E Fund Hong Kong Internet ETF (513040) has seen a net inflow for nine consecutive trading days, totaling over 1.4 billion yuan, with the latest product size exceeding 10 billion yuan [1] - Alipay, in collaboration with several companies, has launched the ACT protocol, which is China's first open technical protocol framework designed for agent commercial needs, facilitating AI task execution across various platforms [1] Group 2 - The CSI Hong Kong Internet Index consists of 30 stocks related to internet businesses, covering key areas such as e-commerce, content ecosystems, social media, and software services, aligning with the market trend of AI-driven internet business model upgrades [2] - Investors interested in the AI narrative can utilize the E Fund Hong Kong Internet ETF (513040) to gain exposure to core Hong Kong internet companies [2]

Core Insights - Alipay, in collaboration with partners including Qianwen App, Taobao Flash Purchase, Rokid, Damai, and Alibaba Cloud, has officially launched the ACT Protocol (Agentic Commerce Trust Protocol), which is China's first open technical protocol framework designed for agent commercial needs [1][4]. Group 1: ACT Protocol Overview - The ACT Protocol aims to create a "universal language" for the collaboration between AI and e-commerce, food delivery, and other service platforms, facilitating more convenient and efficient execution of AI tasks across different terminals, systems, and platforms [1][4]. Group 2: Practical Application - An example of the ACT Protocol in action is the Qianwen App, which successfully integrates Taobao Flash Purchase with Alipay AI payment. Users can simply instruct Qianwen to order a drink, and the app will intelligently recommend nearby products based on the user's location, while also handling price comparisons and automatic coupon redemption [3][6]. - The entire shopping process is streamlined into a conversational, automated experience without switching platforms, with Qianwen acting as a dedicated "shopping assistant" to manage complex operations [3][6]. Group 3: Infrastructure and Security - Alipay has established four core infrastructure standards: "Delegated Authorization Domain," "Commercial Interaction Domain," "Payment Service Domain," and "Trust Service Domain," ensuring that AI operations are fully traceable and verifiable [3][6]. - Unlike traditional payment models, under the ACT Protocol, AI only executes the order placement, while the payment process remains under the user's control or authorization, significantly saving time for users while ensuring fund security [3][6]. Group 4: Benefits for Merchants - For merchants, integrating AI-native applications will be simplified as they only need to configure a unified interface according to the protocol standards, allowing for seamless multi-channel access without the need for complex API development, thus greatly reducing integration costs [3][6].