Visa has invested in Replit, the coding platform valued at $9 billion, to develop a system that lets AI agents make purchases on the internet without human intervention. Welcome to agentic payments, where your AI assistant might soon have a credit card.
The Gist
- Visa has partnered with Replit to integrate its AI-powered payment tools directly into the platform
- The goal: let AI agents make secure purchases on behalf of users using Visa’s Trusted Agent Protocol
- Replit is valued at $9 billion after a $400M Series D in March 2026; over 1,000 Visa employees already use it
What “Agentic Payments” Actually Means
Most AI assistants today can help you search for a product, compare prices, or write an email. But when it comes to actually buying something, they stop. You still have to click the button. Agentic payments change that. An AI agent with agentic payment capabilities can complete a transaction by itself, on your behalf, without you touching anything.
Visa is building the infrastructure to make this possible. Their Visa Intelligent Commerce suite is a collection of AI-powered payment tools, and their Visa Trusted Agent Protocol is what makes the transaction secure. Think of it as an ID system for AI agents: before an agent can make a purchase, it has to prove it is a legitimate, authorized agent acting on behalf of a real, verified user.
Replit is the platform where this integration is being built first. Replit is a cloud coding environment used by developers to build and deploy applications. It already had over 1,000 Visa employees using it for prototyping before this investment. By embedding Visa’s payment tools directly into Replit, developers building AI agents will be able to add payment capabilities from day one, without complex integrations.
Replit itself has grown significantly. The company reached a $9 billion valuation after raising $400 million in a Series D round in March 2026. Its net retention rate sits at 300% in some customer segments (meaning customers are spending three times more over time, not churning). That kind of metric explains why Visa is willing to invest at this valuation.
Why This Changes More Than Just Shopping
The simple use case is an AI assistant that books a restaurant or orders supplies for your home office. You say “order more printer paper” and it happens, without you having to confirm every step. But the more significant applications are in business: an AI procurement agent that automatically reorders inventory when stock runs low, or an AI finance tool that pays invoices the moment they are approved.
The part that changes everything is the “trusted” aspect. Visa’s protocol is designed to make it clear to a merchant’s payment system that the agent making the purchase has been verified and authorized by a real human account. This is what has held back autonomous payments so far: merchants and payment systems have no way to confirm the AI acting on a purchase is legitimate.
Visa is not alone in this race. Robinhood and Google are both developing agent-based commerce capabilities. The fact that three major players are working on this simultaneously tells you something important: agentic payments are not a future scenario being debated in research labs. They are a near-term product category with serious financial infrastructure being built right now.
For everyday users, the short-term experience will likely feel small. An AI assistant that can confirm a booking or pay a bill on command. But the medium-term impact is much broader: as more developers build agentic payment capabilities into their applications (using tools like Replit and Visa’s protocol), AI agents will start handling financial decisions that currently require human attention.
What to Know Before Your AI Gets a Credit Card
The immediate question most people ask is: what happens if it makes a mistake? A trusted agent protocol is only as good as the limits set around it. Visa’s system includes authorization and verification layers, but the actual spending limits, permissions and controls will be set by whoever builds the agent application, and reviewed by users.
This is a model worth understanding now, before it becomes widespread. When you use an AI agent that has payment capabilities, you are essentially setting up a set of permissions: what it can buy, up to what amount, under what conditions. The more specific those permissions, the safer and more useful the agent becomes.
The practical advice is straightforward: start paying attention to what payment capabilities any AI tool you adopt claims to have. Over the next 12 months, agentic payments will move from developer experiment to consumer product. Understanding the permission model before it is the default is the difference between using the technology confidently and discovering its limits the hard way.
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