智能体支付公约出台！谁来掌管AI的钱包

This article outlines the latest progress of AI-powered payments from conceptual testing to real-world deployment, as well as newly released regulatory guidelines, to help general readers grasp key industry updates and practical usage information.

1. Core industry development: On August 24, under the guidance of the People's Bank of China, the Payment & Clearing Association of China issued the Self-discipline Convention on Agent AI Payment Applications. The convention introduced a groundbreaking "Know Your Agent" (KYA) framework, which requires clear boundaries for AI payment authorization and mandates transaction caps to protect fund security, marking the first formal regulatory guardrails for AI payments in China.

2. Accessible AI payment services today: Domestic players have already launched consumer-facing AI payment products: Alipay offers Zhi Xiaobao and A Bao, WeChat launched AI-exclusive payment cards, and UnionPay rolled out AI-powered ordering and bill payment services. These tools currently cover daily consumer scenarios including food delivery, ride-hailing, restaurant ordering, billing inquiries, and utility payments.

3. Practical security guidance: All current AI payment services require explicit final user authorization. AI only handles supporting processes like search, price comparison and order placement, and all fund outflows remain within user-controlled authorization boundaries. Users do not need to be overly concerned about fund safety risks.

The growth of AI payments is reshaping end-to-end transaction pathways, creating new consumer trends and untapped commercial opportunities for brands to prepare for in advance.

1. The emerging trend in consumer transactions: Payments are shifting from "tap-to-pay" to "talk-to-pay," with conversational commerce emerging as a new transaction format. The space will gradually evolve toward multi-sensor frictionless payments, where AI handles the entire transaction workflow after a user states their needs. This will drastically shorten transaction pathways and boost conversion efficiency.

2. New channel opportunities: WeChat's AI-exclusive payment cards have already integrated with leading platforms including Didi, JD.com and Meituan, while Alipay and UnionPay have deployed AI payments across multiple daily consumer scenarios. Brands can proactively integrate with the open AI payment capabilities of major platforms to secure position in this new conversational commerce customer acquisition channel.

3. Required strategic adjustments: AI will automatically complete price comparison and product selection for users, so brands need to adjust their pricing strategies and product visibility logic to align with AI recommendation rules. Brands should also proactively align with new AI payment regulatory requirements and prepare for clear responsibility division in advance.

As the next generation of payment technology, AI payments have entered the early stage of commercial development, bringing new growth opportunities for sellers while also highlighting risks to monitor in advance.

1. New market opportunities: AI payments shorten transaction decision pathways by completing transactions proactively on users' behalf, unlocking more potential conversion opportunities. All major platforms are currently opening access to their AI payment capabilities, and sellers that integrate early can secure an edge in this new traffic entrance. WeChat's AI-exclusive cards are already live across multiple major consumer platforms, and Alipay and UnionPay have also opened AI payment access for a range of use cases. Early positioning creates the opportunity to capture significant first-mover advantage.

2. Industry signal: Though AI payments are still in an early developmental stage, regulators have already released formal guidelines and major tech giants are investing heavily in the space. Large-scale adoption is only a matter of time, and early deployment allows sellers to capture the dividends of the next-generation payment revolution.

3. Risk reminder: Responsibility division for unauthorized AI payments and incorrect orders remains unclear today. Sellers should clarify rights and responsibilities with platform partners in advance, and continuously monitor updated regulatory requirements to mitigate the risk of transaction disputes as rules are formalized.

AI payments are driving end-to-end intelligent upgrades across the entire transaction chain, creating new commercial opportunities and clarifying the direction of digital transformation for factories.

1. Product-side opportunities: As AI payments become more widespread, AI will capture full data on user transaction needs and preferences, providing factories with far more accurate consumer demand data to optimize product design and production planning. This will drastically improve the efficiency of demand-driven reverse customization and reduce the risk of excess inventory.

2. New B2B commercial opportunities: Platforms including JD.com have already begun developing agent payment protocol standards for the B2B space, addressing core pain points such as agent identity verification, authorization and transaction auditing. Factories can leverage the new AI payment infrastructure to upgrade payment workflows for their own procurement and distribution processes, boosting internal operational efficiency.

3. Insights for digital transformation: AI is driving end-to-end intelligence across the entire transaction chain. Factories need to accelerate their own digital development, integrate with the new AI-powered transaction and payment ecosystem, and adapt to the new transaction format to capture opportunities from the next generation of e-commerce and retail transformation, and avoid being disrupted by industry iteration.

AI payments is still in its early development stage, generating a large volume of unmet demand and creating new market opportunities for service providers.

1. Industry trend: AI payments is widely recognized as the next generation of payment infrastructure. Stripe has already launched related offerings in overseas markets, while all major domestic players including Alipay, WeChat, JD.com and UnionPay have entered the space. Regulators have also released the first formal self-regulatory convention to clarify industry direction, putting the sector in a phase of rapid early growth with enormous market potential.

2. Core industry pain points: Multiple critical challenges remain unsolved today, including agent identity verification, authorization tiering, transaction audit and tracing, AI payment risk control and user privacy protection. No clear standards exist for responsibility division for unauthorized AI payments and incorrect orders, creating strong market demand for supporting solutions.

3. Business opportunities: Regulators have formally mandated the implementation of the KYA framework, clear authorization boundary management and fund security controls. Service providers can build technology and service products aligned with these regulatory and market demands, offer supporting solutions to payment platforms and brand merchants, and proactively capture market share in this emerging sector.

AI payments has ignited a new round of competition in the payment industry, and platforms need to align with market demand, mitigate compliance risks, and build sustainable competitive moats.

1. Current player development paths: Leading players have pursued distinct development strategies aligned with their core strengths: Alipay leverages its massive C-end user base to integrate AI assistants into its main app to build conversational AI payment; WeChat leverages its social ecosystem to open up AI-exclusive payment card capabilities; JD.com leverages its supply chain advantage to build B-end protocol standards; UnionPay leverages its clearing network to deploy use cases. All players share the same core goal: to capture the default AI payment entry point.

2. Core industry demand: Users want AI payment services that are both convenient and secure; the industry needs clear standards for agent identity, authorization and transaction rules; regulators require clear authorization boundaries to ensure fund security.

3. Risk mitigation guidance: AI payment innovation must advance within the regulatory framework, with full implementation of required KYA rules, transaction caps and other mandates. Platforms must balance convenience and security, shore up gaps in risk control, privacy protection and responsibility division in advance to avoid compliance risks, and continuously build ecosystem moats to compete in the evolving market.

AI payments represents the latest transformative direction for the global payment industry, with new developments and open research questions that make it a high-value area of study.

1. New industry developments: On the regulatory front, China has released the first-ever Self-discipline Convention on Agent AI Payment Applications, introducing the groundbreaking "Know Your Agent" (KYA) framework and clarifying regulatory direction for AI payments. On the market side, global technology giants have all entered the space, and leading domestic players have developed distinct development paths aligned with their core competitive strengths. AI payments have moved beyond conceptual testing to launch across multiple daily consumer scenarios, entering the phase of tangible commercial development.

2. Open research questions: AI payments remain at an early developmental stage, with multiple understudied challenges including insufficient technical maturity, unclear responsibility division for issues such as unauthorized AI payments, underdeveloped user habits, and incomplete supporting compliance frameworks.

3. New business model exploration: Current AI payments still operate as traditional payments augmented with AI assistance, but the space will evolve toward frictionless autonomous payments and will restructure the entire transaction value chain. The core competitive logic of the payment industry is also shifting from competing for user retention to competing for default AI invocation rights, creating entirely new competitive dynamics and business models that merit in-depth research.