The future of finance may lie in Blockchain because the future of the economy will increasingly be driven by AI agents
For years, Artificial Intelligence and Blockchain
have been treated as two of the most promising technologies in digital transformation. Naturally, a question emerged: how
can we put AI into Blockchain?
Perhaps that is the wrong question. Artificial Intelligence
is already advancing rapidly. Models are becoming agents capable of researching, making decisions, using tools, communicating
with other systems, and executing tasks with less and less human intervention.
The truly interesting question is now a different
one: when these agents need to move money on their own, how will they do it? How will an AI agent pay for an API? How will
it hire another specialized agent? How will it buy data, computing capacity, or a digital service? How will it be able to
make thousands of transactions worth a few cents, or even fractions of a cent, without a person having to manually authorize
every operation?
That is exactly where Blockchain begins to make
a great deal of sense. We are not talking about putting AI into Blockchain. We are talking about providing AI agents with
financial infrastructure compatible with an economy operated by software.
An AI agent needs a wallet
Imagine an agent hired by a company to execute a
given process autonomously. It researches suppliers, finds a suitable service, checks prices, decides which option best meets
the established criteria, and reaches the point of purchase.
What happens next? Today, much of the digital financial
infrastructure was still built with human beings in mind. We have cards, bank accounts, authentication, signatures, limits,
and processes in which a person is usually present at some point in the transaction.
AI agents do not operate that way. They can execute
hundreds or thousands of small actions continuously. They can consume a piece of information for a few cents, hire an API
for a few seconds, acquire computing capacity only when needed, or pay another agent to solve an extremely specific part of
a given task.
This new dynamic requires programmable money. And
the market is already beginning to build exactly that. In 2026, Circle launched infrastructure specifically for the so-called
agentic economy, including wallets for agents, a services marketplace, and USDC nanopayments. These wallets allow agents to
hold and move assets within rules previously established by humans. Nanopayments, in turn, were designed for high-frequency
operations and values below one cent. In other words, the problem is no longer merely conceptual. We are beginning to build
bank accounts for machines.
Micropayments change the logic of the digital
economy
One of the most important aspects of this transformation
lies in micropayments. For a human being, paying individually for every small digital interaction would be impractical. No
one wants to manually approve a US$0.02 charge to access a piece of information, then US$0.05 to consult a given service,
and a few more cents to execute another stage of a process.
For a machine, that is not a problem. An agent can
perform these operations programmatically, dozens or thousands of times, as long as there are clear rules about how much it
can spend, with whom it can transact, and for what purpose.
Traditional payment infrastructure was not always
built for this level of granularity. As agents begin buying data, services, and computing resources from other systems, very
small-value transactions become economically relevant.
Coinbase, for example, has been advocating the creation
of financial infrastructure specifically for agents, while solutions based on protocols such as x402 seek to make payments
a natural part of communication between systems. Stripe is also already discussing Stablecoins as a possible programmable
financial layer for this new form of commerce between agents.
At that point, Blockchain stops looking merely like
infrastructure associated with cryptocurrencies and begins to take on another role: becoming the settlement layer of a machine
economy.
Why does Blockchain work so well with AI agents?
Blockchain addresses a particularly important issue
in this scenario: how can two parties that do not necessarily know or trust each other transfer value and verify that a transaction
actually took place?
This is one of the fundamental ideas that gave rise
to Bitcoin. It is important, however, to avoid an overly convenient historical interpretation. Bitcoin was not created because
Satoshi Nakamoto had foreseen the arrival of AI agents. Its original goal was to create a peer-to-peer electronic cash system
that could operate without depending on a central financial institution.
The very premise of this article calls attention
to that distinction: there is no need to rewrite Bitcoin's history to recognize that its characteristics may fit extraordinarily
well into a reality that emerged almost two decades later.
Stablecoins may become the first major currency
of agents
For a large share of everyday economic activity,
there is a problem with using highly volatile assets directly. An agent tasked with purchasing US$100 worth of a given service
needs to know roughly how much it has and how much it will spend. A payment unit whose value fluctuates significantly adds
unnecessary complexity to the task.
That is precisely where Stablecoins come in. Stablecoins
seek to combine some of the properties of Blockchain networks with a unit of value tied to traditional currencies, usually
the dollar. USDC and USDT are among the best-known examples.
In practice, they offer something extremely valuable
to agents: digital money that can be moved by software, 24 hours a day, on programmable infrastructure. It is no coincidence
that products specifically designed for agents are already being built around this model. Circle allows agents to hold and
transfer USDC within predefined policies, while other companies are already developing solutions in which agents can autonomously
pay for services using Stablecoins.
Visa has also begun treating Artificial Intelligence
and Stablecoins as two structural shifts in digital commerce, developing mechanisms aimed at agent identification and expanding
its Stablecoin settlement infrastructure. This convergence helps show why the discussion should not be “how do we put
AI into the crypto world?” The movement may happen in the opposite direction.
As agents become economic participants, they begin
to seek the financial infrastructure best suited to the way they operate. And Stablecoins on programmable networks emerge
as natural candidates.
And where do CBDCs fit in?
There is yet another path for digital money: CBDCs,
or Central Bank Digital Currencies, digital currencies issued or backed by central banks. They are part of the same transformation
toward the digitalization of money, but they follow a different philosophy. While Blockchain emerged strongly associated with
the ability to carry out transactions without relying on a single central authority, a CBDC preserves the central role of
the State and the central bank.
That does not mean CBDCs will have no use. Quite
the opposite. Central banks in different countries continue to study and develop digital currency models. In a survey published
by the Bank for International Settlements, 91% of the 93 central banks surveyed were exploring some form of CBDC, whether
retail, wholesale, or both.
But there is an important difference between digitizing
existing money and creating financial infrastructure that is truly native to autonomous agents. A CBDC can become a digital
representation of a national currency, bringing new possibilities for settlement, automation, and integration. However, it
still operates within a centralized and regulated monetary architecture.
Stablecoins and public Blockchain networks follow
a different logic. That is exactly why there is an interesting dispute over which of these architectures will occupy the most
space in the next generation of the financial system. The BIS itself argues that Stablecoins offer advantages related to programmability
and international payments, while warning about risks to financial stability, integrity, and monetary sovereignty. At the
same time, it supports tokenization models linked to central bank money and bank deposits. Therefore, there is still no clear
winner. There is a race.
Money is becoming programmable
Perhaps the most important point is that Blockchain
is not limited to Bitcoin, just as Artificial Intelligence is not limited to ChatGPT. We are witnessing the emergence of infrastructure
in which money, assets, and contracts can be manipulated directly by software.
This has enormous consequences. If an agent can
receive a task, find another specialized agent, hire its capabilities, make a payment, and incorporate the result into its
own work, we begin to have a true machine-to-machine economy. One agent can pay another agent. An API can automatically charge
per call. A system can buy computing power on demand. A financial agent can rebalance assets within limits established by
the user. A business system can release a given payment after programmatically verifying that a condition has been met.
In this scenario, money stops being merely something
people use through digital interfaces. It becomes part of the software itself. That is the difference between digital money
and programmable money.
The economic agents of the future may not be
human
For decades, virtually all Internet infrastructure
assumed there would be a person on the other end. That assumption is beginning to disappear. AI agents will be able to consume
services from other agents, negotiate resources, hire infrastructure, and move value according to goals and constraints defined
by people or companies.
Naturally, this also creates a new layer of problems.
Who is responsible for a purchase made by an agent? What financial limits should it have? How can unexpected behavior be prevented?
How should credentials and private keys be controlled? How can compliance be ensured? How can thousands of automatically executed
microtransactions be audited?
Financial autonomy cannot mean a lack of control.
That is why wallets designed for agents are already beginning to incorporate spending limits, allowlists of approved services,
Blockchain restrictions, and time-based policies. The idea is not to give an AI unlimited access to money, but to create infrastructure
in which it can operate autonomously within defined boundaries.
This may be one of the most interesting markets
in the coming years: building the trust layer between Artificial Intelligence, financial systems, and Blockchain.
AI first, Blockchain second
Order matters. If we start with Blockchain and try
to find some AI application to justify it, we will probably end up with just another project combining two fashionable technologies.
But if we start with AI agents and ask what they will need to operate autonomously in the real world, we naturally arrive
at the financial problem. Agents will need to buy. They will need to sell. They will need to hire services. They will need
to receive payments. They will need to make micropayments. They will need to negotiate with one another. And they will need
to do all of this on infrastructure that is always available, programmable, and understandable by machines.
That is exactly where Blockchain enters the story.
Not because Artificial Intelligence needs to be placed inside Blockchain, but because an economy made up of autonomous agents
will need financial infrastructure compatible with machines.
Bitcoin can be part of it. Ethereum and Solana can
as well. Stablecoins, especially in the short term, emerge as particularly strong candidates. CBDCs may occupy their own space
within this ecosystem. And perhaps a technology we do not even know today will still appear. What seems increasingly clear
is that the boundary between software and money is disappearing.
If your company is trying to understand how Artificial
Intelligence can automate processes, create truly autonomous agents, or integrate with Blockchain technologies, now is the
time to start building that strategy. Visionnaire has 30 years of experience in software development and closely follows this
new generation of AI-based solutions.
AI and Blockchain may become two parts of the same
digital infrastructure. To turn this convergence into software and business results, count on Visionnaire.
