千问“一句话买奶茶”背后：支付宝ACT定义跨智能体协同标准

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].