PayPal MCP
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PayPal全球副总裁、中国区首席技术官吴晖: 以AI引领智能生态变革 做商家与消费者值得信赖的合作伙伴
Cai Jing Wang· 2025-11-27 03:09
Core Insights - Artificial Intelligence (AI) is profoundly reshaping the payment industry, transitioning from traditional channels to intelligent ecosystems [1] - PayPal's strategy focuses on "Agentic Commerce," which aims to automate the entire transaction process, enhancing trust between merchants and consumers [1][2] Group 1: AI's Impact on Payment Industry - Agentic AI is set to bring disruptive opportunities to the payment sector by enabling cross-system information extraction, reasoning, and closed-loop execution [1] - The evolution towards Agentic Commerce allows for fully automated consumer behaviors such as price comparison, payment, and investment, while empowering businesses to predict demand and manage risks [2] Group 2: PayPal's AI Strategy - PayPal has been building its AI ecosystem for over a decade, starting with high-performance servers and developing deep learning models for risk control, compliance, and customer service [2] - The newly upgraded global payment platform integrates AI functionalities to facilitate quick access to PayPal's services for merchants and enhance their AI capabilities [3] Group 3: Infrastructure and Ecosystem Development - PayPal positions itself as a foundational infrastructure provider for electronic payments, developing proprietary platforms like Cosmos and SmartPal to enhance its core competencies [4] - Collaborations with AI giants and cloud service providers are aimed at shaping the next generation of commercial ecosystems [4] Group 4: Risk Management and Compliance - AI is being utilized to empower merchants in various scenarios, such as customizing payment products for subscription-based businesses and providing tools that lower technical barriers [5] - PayPal's Model Context Protocol (MCP) serves as a core infrastructure for efficient payment processing and compliance, addressing the challenges faced by small and medium enterprises [5][6] - The company emphasizes the importance of adhering to local laws and regulations in its AI applications, ensuring decision-making transparency and data security [6]