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Ant International Unveils Open-Source Agentic Mobile Protocol for AI Commerce

By Artūras Malašauskas May 04, 2026 4 min read Share:
Ant International has released the Agentic Mobile Protocol (AMP), an open-sourced payment framework enabling AI agents to transact securely across 4.4 billion digital wallet users worldwide.

Ant International has officially launched the Agentic Mobile Protocol (AMP), positioning itself at the forefront of autonomous AI commerce infrastructure. The open-sourced framework enables AI agents to execute secure, AIOps-native payment connections across mobile services including digital wallets, banking apps, super apps, and wearable devices.

The announcement comes via official press release from the company, which details the technical specifications and partnership ecosystem behind the protocol.

What makes AMP different from existing payment rails is its mobile-first architecture. Current AI payment protocols are largely designed for card-based transactions. AMP flips that model by embedding agentic payment functionality directly into mobile workflows, eliminating the need for system overhauls. Merchants, LLMs, AI platforms, and agent builders can integrate payment capabilities without rebuilding their infrastructure.

The protocol targets a rapidly expanding market. The global agentic commerce sector could reach approximately USD 28 billion by 2030 with a 46% compound annual growth rate. Digital wallet adoption is accelerating in parallel—4.4 billion users in 2025, projected to exceed 6 billion by 2030, representing over 75% of the global population.

Jiang-Ming Yang, Chief Innovation Officer at Ant International, emphasized the partnership-driven nature of the project. "We are deeply grateful for partners, acquirers and developers who contributed to this project. An agentic protocol for mobile commerce that ensures superior efficiency and security results will be key for businesses large and small expanding into the world's fastest growing markets."

The AMP framework includes several distinct technical features. Agent integration reduces the steps required to link a payment agent to a digital wallet by 50% compared to traditional card-binding methods. Cross-device compatibility extends payment agent functionality across smartphones, smartwatches, AR glasses, and in-car systems—a capability absent in card-based systems.

Every agent-initiated transaction carries a money-back guarantee mechanism for payment partners in cases of account takeovers. This is critical when AI agents operate autonomously, making decisions without direct human oversight. The trust architecture for agent delegation ensures secure and precise delegation of payment authority—whether ordering coffee, booking a ride, or planning a trip—with full visibility and the ability to revoke or modify tasks at any time.

The high-frequency agent-to-agent (A2A) settlement mechanism handles automated, ultra-small transactions between AI agents. It's capable of processing nano-transactions as small as $0.000001 with real-time accounting and clearing. Traditional payment rails cannot support this granularity, yet the agentic economy requires the capacity to process high-frequency, sub-cent agent transactions.

A full-spectrum Know Your Agent (KYA) framework establishes an agent's digital identity and certifies its authorized capabilities. The proprietary Agent Trust Rating mechanism offers an additional layer of protection—a dynamic risk-management tool that determines whether an agent is trustworthy and controls the level of autonomy. This is where the rubber meets the road (or where the agent meets the merchant, in this case).

Ant International is working with wallet partners of Alipay+, the company's global wallet gateway, to implement AMP. Alipay+ now connects over 40 digital wallet partners, covering 1.8 billion user accounts and 150 million merchants globally. The company is also among the first partners of Mastercard and Visa to pilot card-based transaction capabilities for AI agents, while collaborating with Google on its protocols for agentic commerce and payments.

Secondary coverage from Supply & Demand Chain Executive corroborates the core specifications and partnership details outlined in the official announcement.

The open-source nature of AMP is significant. By making the protocol publicly available, Ant International aims to establish a universal, auditable standard ensuring AI agents can transact securely and seamlessly across any global platform. This approach mirrors earlier open-source movements in blockchain and payment infrastructure, though the execution here is distinctly mobile-native.

Physical interaction with this technology will feel different from current payment experiences. Instead of tapping a card or entering credentials, users will delegate authority to agents that operate across devices. The friction point shifts from authentication to trust calibration—deciding which agents get what level of spending authority, and for how long.

Whether the market adopts AMP as a standard remains uncertain. Competing protocols from other payment giants could fragment the landscape. The real test will be whether merchants and developers actually integrate AMP into their workflows, or if it becomes another well-documented specification gathering dust in a GitHub repository.

For now, the infrastructure is live. The question is whether the agentic economy will materialize at the pace Ant International anticipates, or if regulatory, security, and adoption hurdles slow the rollout considerably.

Arturas Malas Artūras Malašauskas is an AI Systems Integrator with 20+ years of production-grade web engineering experience. He has designed, shipped, and scaled enterprise Python/PHP systems for logistics, SaaS, and public-sector clients. For the past year, he has focused exclusively on AI integrations: deploying open-source LLMs, building generative media pipelines (image, audio, video), and engineering multi-agent workflows for real production environments. His standard: reproducibility, security, cost-efficient inference—no vaporware. He documents and evaluates emerging AI tooling, separating verified capabilities from marketing noise. Technical editor at: muza-ai.eu, ai-verslas.lt, ai-naujinos.lt Connect on LinkedIn
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