a16z 05月30日 02:20
How Will My Agent Pay for Things?New
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文章探讨了未来AI Agent在支付领域的应用前景,以及实现真正自主支付所面临的挑战。随着Mastercard、Visa和PayPal等公司纷纷推出AI Agent支付解决方案,Agent商务的效率正在提升。然而,当前Agent在支付方面仍不够自主,需要解决角色范围、欺诈风险和责任归属等问题。同时,Agent商务也为创新者带来了机遇,例如Agent间的支付和微交易,稳定币可能成为理想选择。文章还介绍了Paid.ai、Nekuda和Payman等公司在Agent支付领域的新进展。

🤖 **Agent的角色与范围:** 目前缺乏统一标准来定义Agent的角色和权限范围,以及商家如何验证这些权限。例如,如何确定Agent与用户的关联,允许其执行的操作,以及授权的消费金额等。

🛡️ **欺诈与KYA(了解你的Agent):** 随着AI Agent支付的普及,欺诈风险也随之增加。2023年全球诈骗金额超过1万亿美元,若无充分保障,这一数字可能因AI而呈指数级增长。因此,识别和验证授权的AI Agent至关重要。

⚖️ **责任归属:** 在Agent支付中,如果发生拒付等问题,责任该由谁承担?由于Agent的介入,传统的责任分配方式变得模糊,需要明确各方的责任和成本承担。

Posted May 29, 2025

How will my agent pay for things?

In the not-so-distant future, consumers and businesses will be able to instruct an agent to make any payments they want on their behalf.

Customers will be able to book a group holiday — including all flights, hotels, and activities — with a single click, as their agent finds the cheapest, most points-optimized itinerary tailored to their unique preferences. Likewise, businesses will be able to monitor inventory and have agents automatically make the purchases to restock.

Indeed, early efficiencies are already live in the market and are beginning to accelerate with browsers, PSPs, the networks, and more racing to secure their place in the agentic commerce future. In the last month alone, both Mastercard and Visa launched AI agent payment solutions, while PayPal introduced its first MCP server. Through PayPal’s MCP, LLMs can now instantly generate invoices and share client-ready payment links on behalf of merchants — eliminating the need for manual invoice creation or direct integration with PayPal’s APIs.

However, agents today are not yet truly autonomous, particularly when it comes to handling payments.

What needs to be solved for agents to actually pay for things?

1. Role and Scope of the Agent

Is there a human or business “linked” to this agent? What is the allowable purchase scope? (Which items, from which merchants, for how much?)

There is currently no agreed-upon standard for how a human assigns a role and scope to an agent, nor for how a merchant verifies that role and scope. For example, it’s unclear how a person can designate whether an agent is “attached” to them, what the agent is allowed to do, or how much it is authorized to spend. On the other side, merchants have no consistent way to verify whether they’re interacting with an agent versus a human, and if it is an agent, what permissions or limits have been granted.

2. Fraud and KYA (Know Your Agent)

Is this an authorized AI agent?

Scammers stole over $1 trillion globally in 2023. Without sufficient safeguards, that number could grow exponentially with AI. Sardine AI, for instance, has already identified fraud targeting agentic commerce and is actively protecting its clients against increasingly sophisticated techniques, including the use of AI-powered voice modifiers by attackers.

3. Liability

Who is responsible and who bears the cost?

Chargebacks, for example, raise a fundamental question of liability. When a transaction is reversed, someone must absorb the cost. Yet, with an additional party involved in agentic payments (the agent!), allocation of responsibility is unclear.

Agentic commerce opens a myriad of opportunities for new entrants. For example, as AI agents increasingly transact with each other, they may need to execute agent-to-agent payments or micro-transactions for data access. Stablecoins, with their cost-effectiveness and programmable capabilities, could be well-suited for these machine-to-machine transactions.

For a quick preview of exciting companies in the space:

    Paid.ai is making sure businesses bill accurately to monetize the full value agents deliver.Nekuda is building payment rails designed specifically for AI agents.Payman is arming every AI agent with its own wallet so it can securely move money.

We’ll follow up soon with a deeper analysis of this rapidly evolving space. If you’re building in this area or have insights to share, we’d love to hear from you.

More from the a16z Fintech Team

On the Wharton FinTech Podcast, a16z partner Melissa Wasser discusses how fintech founders can evaluate M&A opportunities, structure smarter capital strategies, and assess the tradeoffs between equity and debt financing. Listen now »

Financial services are famously human capital-intensive; even at Goldman Sachs there’s still a “Federation” of back office workers sitting in Excel, says a16z general partner David Haber. On TPBN, he argues that much of that work — across legal, compliance, risk assessment, vendor onboarding, and more — should be handled by AI. Watch now »

Ben Franklin famously remarked there are only two certainties in life: death and taxes. a16z partner Marc Andrusko makes the case that AI should be added to that list. On the Wharton FinTech Podcast, he unpacks the ways AI can streamline workflows and automate core tasks in finance and accounting. Listen now »

Recent M&A Deals and Market Intel

eToro opened for trading on May 14 after pricing nearly 12 million shares at $52 each — above its initial target of 10 million shares between $46 to $50. The upsized deal was driven by strong demand, with an order book reportedly 20 times oversubscribed, according to Bloomberg.

Chime filed its S-1 on May 13 and is reportedly seeking a valuation between $8 billion and $9 billion.

Klarna is now expected to delay its IPO until this fall due to ongoing market uncertainty, according to Realtid, a Swedish news source.

Monzo has reportedly lined up Morgan Stanley to pitch the company to investors in preparation for a potential IPO in the first half of next year.

iCapital announced its acquisition of Citi Wealth’s alternative investments feeder platform on May 13. Leveraging its technology, iCapital will streamline the operations and management of Citi’s existing and future alternative investment funds platform. Additionally, it will strengthen Citi Wealth’s global sales capabilities through a dedicated team of alternative investment specialists.

AvidXchange announced its take-private sale to TPG and Corpay in a cash transaction that values the company at $2.2 billion. The deal reflects valuation multiples of approximately 4.9x LTM revenue and 25.6x LTM EBITDA. According to the agreement, Corpay will invest $500 million in exchange for a 33% ownership stake.

Mastercard and Corpay launched a strategic partnership in cross-border payments on April 29, with Mastercard investing $300 million for an approximately 3% equity stake in Corpay’s cross-border business. The investment values the business unit at an enterprise valuation of $10.7 billion, and represents a forward EBITDA multiple of 20x.

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AI Agent 支付 Agent商务 欺诈 责任
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