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.
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.
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.
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:
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.
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