Author: PengoPay Stablecoin Payment Team
Abstract: As AI agents evolve from "software that does the work" to "digital agents capable of participating in economic activities," payment will no longer be an ancillary capability but will become a fundamental one. The question remains: are bank cards, PayPal, and bank transfers truly suitable for a machine economy? Increasing evidence suggests that stablecoins are becoming the most natural settlement medium for AI agents. Their significance extends beyond on-chain payments; they have the potential to become the default language for exchanging value between machines.
If one day, AI agents no longer just help you write emails, search for information, and generate reports, but actually start buying services, selling their capabilities, settling fees, and generating revenue on their own, then that seemingly "boring" question will suddenly become incredibly important:
What does it use to pay?
Many people would instinctively think of bank cards, PayPal, and bank transfers.
But if you think about it carefully, you'll find that none of these answers are actually correct.
Because they are all designed for "human users".
What they implicitly represent is:
Natural person or corporate account
KYC / KYB
banking system
Working hours
Regional clearing network
Manual review and chain of responsibility
But AI agents are not human.
It won't just work in one country.
I won't wait until Monday to start work.
They won't be satisfied with just "bind your card first, then subscribe, and get a bill at the end of the month".
Its most natural way of survival is to continuously access resources, purchase capabilities, sell results, and automatically settle accounts within a global network.
In other words, what the machine economy truly needs is not a digital version of traditional payments, but a more native, open, and programmable way of exchanging value.
Looking at it today, the closest thing to that position is not a bank card, not PayPal, and not bank transfer.
Instead, it's a stablecoin.
This is why I increasingly believe:
Stablecoins are more than just an asset in the crypto world. They have the potential to become the default settlement medium in the age of the machine economy.
01｜Why will AI Agents eventually make "payment" a core issue?
When people talk about AI agents now, they are still focused on:
Can it write code?
Can you do research?
Will it call the tool?
Will it automatically execute the task?
These are certainly important.
But if an agent truly wants to transform from "software that can do tasks" into "an entity capable of participating in economic activities," it will inevitably face a more practical problem sooner or later:
How does it pay?
Because a truly valuable agent in the future will not just consume free resources.
It will constantly encounter paid scenarios:
Call a higher quality data source
Purchase the execution result of another agent.
Renting short-term computing power
Subscribe to real-time news feed
Instant settlement for a specific API request
Reinvest the money earned into the next round of tasks.
At this point, payment is no longer an "add-on feature," but becomes a fundamental capability in Agent's economic activities.
An agent without the ability to pay is ultimately just a "tool".
Only agents with the ability to make payments can gradually approach "digital entities".
02｜Why is the traditional payment system inherently unsuitable for a machine economy?
Many people will ask:
Why can't AI Agents use bank cards, PayPal, or bank accounts directly?
The answer is not that it is completely impossible, but rather that it is very unsuitable as a default underlying solution.
First, traditional payment methods default to serving "people".
Bank cards are backed by individuals or businesses.
Behind PayPal are account holders.
Behind bank transfers lies a real-name account system.
And what about the Agent?
It may just be an automated workflow.
It could also be a long-running software entity.
It could also be an intelligent service node for cross-organizational collaboration.
It does not naturally belong to the standard objects in the traditional financial account system.
Secondly, traditional payment methods are typically low-frequency, large-amount, and require manual intervention.
Traditional payment methods excel at handling:
Shopping
Paying salaries
corporate transfer
Subscription fee
Merchant order collection
These behaviors are mostly human-driven, have limited frequency, involve relatively concentrated amounts of money, and can be resolved through human intervention.
But the agent's payment is more likely to be:
high frequency
Small amount
immediate
automatic
Direct occurrence between machines
These scenarios are almost the opposite of the design philosophy of traditional payment.
Third, traditional payment is inherently localized.
Bank accounts, card organizations, and PayPal are all essentially deeply embedded in national, regional, and local clearing networks.
But Agent is not.
An agent might call up US services today, buy Singaporean data tomorrow, and use European computing power the day after, without caring about the geographical boundaries behind these services.
The machine economy is inherently globalized.
Traditional payment methods are inherently localized.
This is the fundamental conflict.
03｜Why have stablecoins suddenly become “particularly suitable for agents”?
In the past, when people talked about stablecoins, they only mentioned two things:
Fast transfer
Cross-border convenience
That's certainly true, but for AI Agents, stablecoins are really important for much more than that.
Its most crucial value lies in:
It is one of the few digital settlement assets that simultaneously possess the characteristics of "globally accessible, machine-readable, programmable, and continuously online".
1. Stablecoins are machine-readable.
It is neither paper money nor a closed record in a bank database, but a digital asset that can be directly accessed, verified, and transferred by software.
For the Agent, this means it can directly access workflows, protocols, interfaces, and automatically execute logic.
2. Stablecoins are native internet assets.
It doesn't require you to first enter a country's financial system before crossing over.
It is inherently an internet asset.
This means that agents do not need to switch payment networks every time they switch service providers for cross-border collaboration.
3. Stablecoins are more suitable for micropayments.
A core characteristic of machine payments is that they are "high-frequency, small-amount, and continuous".
For example, an API call costs a few cents, a data query costs a few dimes, and a task execution is settled by the minute.
In such scenarios, traditional payment systems typically have higher costs and more complex processes.
4. Stablecoins are available 24/7.
The agent won't wait until Monday to start work.
The task will not stop just because the bank is closed.
Collaboration will not be suspended due to delayed settlements during holidays.
It naturally requires a settlement layer that is always online.
Stablecoins are at least closer to this than the traditional banking system.
04 | AI Agent Payments Won't First Be Implemented in "Buying Coffee"
When many people think of AI Agent payments, they imagine a robot buying things.
However, what will truly take root first is often not this kind of offline consumption, but rather more digital, lightweight, and high-frequency scenarios.
Scenario 1: Real-time settlement via API calls
In the future, when an agent calls upon many resources, it may not necessarily "subscribe to a one-month plan first," but more likely:
Pay once, use once.
Pay only after successful request.
Settlement by token, by number of calls, or by result.
This model is very natural for machines because it is strongly tied to task execution itself.
Scenario 2: Agent purchases services from other agents.
In the future, many agents will not work alone, but will purchase capabilities from each other.
for example:
A research agent buys data cleaning results from another agent.
A transaction agent buys real-time scores from a signal agent.
A content agent pays a review fee to a proofreading agent.
A customer service agent purchases complex capabilities from a professional agent.
In this model, payment is not an additional action, but rather part of the collaborative relationship.
Scenario 3: Real-time procurement of computing power, models, and data
What agents buy most often isn't necessarily goods, but rather capabilities:
computing power
Reasoning Service
High-quality model invocation
Private data stream
Dedicated execution environment
Security capabilities
These services are well-suited for a model of "instant price discovery, instant settlement, and instant result delivery".
Stablecoins are naturally suited to handle this kind of digital-native purchasing.
05 | Why do we say that "stablecoins will rewrite the business model of agents"?
If you only see stablecoins as a means of payment, you're underestimating their value.
The real big change is:
Stablecoins will change how agents can make money, charge fees, and share profits.
1. Shift from a subscription model to a pay-per-result model.
Today, most software still operates on a "subscribe first, use later" basis.
But in the world of agents, a more natural model might be:
Pay-per-task
Charged per call
Pay-per-result
Charged based on success rate
Charged based on cost savings
Profit sharing based on revenue generated
These models are very difficult to implement in the traditional payment system because each fine-grained settlement brings a lot of payment friction.
However, these models would be more natural in stablecoin and programmable settlement environments.
2. From platform aggregation to network collaboration
Many AI services today still operate on a platform model:
A platform provides models, data, workflows, and settlement.
The future is more likely to move towards a network model:
Multiple agents, service nodes, and resource markets collaborate to complete a complex task.
In this structure, stablecoins are not only a payment tool, but also a language for value distribution.
3. From static prices to dynamic markets
In the future, agents may not accept fixed prices when procuring resources.
It might:
Inquire about prices from multiple service providers
Select in real time based on speed, quality, and reputation.
Automatically complete the lowest cost routing
Automatic settlement or refund based on results.
This means that payments will be deeply embedded in market mechanisms.
Stablecoins will act more like the default settlement layer in the market.
06｜Why hasn't AI Agent payment truly taken off yet?
Having discussed imagination, we must also discuss reality.
This direction is still in its early stages today.
The hype surrounding infrastructure has clearly outpaced actual demand.
That's not surprising.
Almost every wave of technological advancement follows this pattern:
First, someone built the road.
Then someone else went up,
Finally, the traffic really picks up.
Why hasn't AI Agent payment taken off yet?
1. The agent is not reliable enough.
Many agents are still in the "semi-automatic" stage today.
You can let it help you find information.
Many people are still hesitant to let it cost them money.
2. The boundaries of payment authorization are still unclear.
If the agent spends money incorrectly, gets scammed, or makes duplicate payments, how is liability determined?
This is a question that must be answered before the machine economy can truly move towards large-scale application.
3. Identity and credibility standards are still in their early stages.
Payment is not the biggest problem.
The real questions are: who to trust and on what grounds to pay?
Without an identity, credibility, and verifiable interaction layer, open agent payments will find it difficult to truly establish themselves on a large scale.
4. Compliance and risk control are always essential.
The truly commercialized agent payment infrastructure of the future cannot bypass:
Risk Score
Blacklist Filtering
Payment Authorization
Audit Records
Income Attribution
Compliance requirements
Machines can automate processes, but financial risks do not disappear automatically.
07 | The real important question is not "Will the agent make the payment?"
When discussing new technologies, many people like to ask:
Will this become mainstream?
But for AI Agent payments, the more critical issue is actually:
Will payment become a default capability of the agent?
I think it's highly likely.
Because an agent without the ability to pay can only be a tool in the end.
Once an agent is to truly participate in economic activities, it will sooner or later need to possess four capabilities:
purchase
Settlement
Receiving payment
Profit sharing
In other words, payments will not be an added bonus, but will become a fundamental component of Agent economic activities.
Once this is done, the next question will not be "whether or not to pay," but rather:
What is the default settlement method?
From today's perspective, stablecoins are the closest to this point.
08 | Stablecoins: Why do they seem more like the "underlying language" of the machine economy?
Many people see "AI + stablecoin" as a combination of two popular concepts.
However, if you look deeper into the logic, you'll find that the two are not a chance encounter, but rather a structural match.
An AI agent needs to be one of the following:
Machine readable
Machine-executable
Globally accessible
Programmable
low friction
Stay online
Payment methods.
Stablecoins happen to be the settlement asset that comes closest to this requirement today.
Therefore, what's truly promising about stablecoins in the AI Agent field isn't "whether they'll be used for payments," but rather:
Will it become the default language for exchanging value between machines?
If this assessment holds true, then when the machine economy truly matures in the future, the role of stablecoins will not merely be "a kind of on-chain dollar," but will become:
The default settlement medium in the machine economy era.
09 | Final Judgment: In the future, the most valuable agents will not just be those that can perform tasks, but those that can settle accounts.
In the next few years, we will see many agents that can write code, perform analysis, and execute processes.
But the one that truly begins to create economic value is not necessarily the smartest one.
More likely:
> The Agent that can access real trading networks, continuously buy services, continuously sell services, and continuously perform automatic settlements.
In other words, what truly transforms an agent from a "capability" into an "economic role" is not just intelligence itself, but the ability to make payments.
When this happens, payment will no longer be a backend module, but will become the lifeline of the Agent.
Looking at it today, stablecoins are increasingly resembling the most natural underlying layer of that lifeline.
Conclusion
If one of the most important questions in the internet age is "how information flows freely globally", then...
Therefore, one of the most important issues in the machine economy era is likely to be:
How value flows between machines with low friction.
The answer to this question may not come from traditional bank card networks, nor from payment accounts designed for humans, but more likely from a more native, open, and programmable settlement asset.
From this perspective, stablecoins are no longer experiments on the fringes of the crypto industry.
It is slowly approaching a larger location:
> The default settlement medium in the machine economy era.
In the future, the most valuable agents will not just be those that can perform tasks, but those that can settle accounts.
