Crypto Was Made for AI Agents, Not Humans, Says Alchemy CEO
Financial transactions have always been shaped around one thing: human behavior.
Banking hours, geographic borders, physical documents, lines, and forms — all of this exists because the system was designed for people who sleep, who live in specific countries, and who need to be physically present to move money.
But what happens when the economic participant is not human?
That is exactly the question Nikil Viswanathan, CEO and co-founder of Alchemy, has been answering with a thesis that is gaining more and more attention in the world of technology and decentralized finance: crypto was not made for humans — and maybe it never was.
The idea might sound strange at first, especially considering how much the crypto industry has invested in making wallets, exchanges, and blockchains more accessible to the average user. But Viswanathan is pointing in a different direction. According to him, AI agents — artificial intelligence systems capable of acting autonomously in the digital world — are becoming active economic participants, and crypto infrastructure might be exactly what they need to operate. 🤖
Not as an alternative to the traditional financial system, but as the native layer of a new type of economy — one that never stops, never sleeps, and does not need paper.
Why the traditional financial system was not built for autonomous agents
Think about it: when you open a bank account, you need to present documents, show up in person, or go through identity verification processes that take days. When a company wants to make an international wire transfer, it has to deal with time zones, correspondent banks, hidden fees, and processing times that can stretch up to five business days.
This entire process was designed with one central assumption — that there is a human being on the other side of the operation, with a Social Security number, an address, and legal accountability.
But AI agents do not have Social Security numbers. They do not have home addresses. And most importantly, they do not wait.
As Viswanathan himself pointed out in an interview with CoinDesk, AI agents operate in a fundamentally different way from humans. They do not sleep, they do not live anywhere, they do not walk into bank branches, and they do not carry cards. And increasingly, they are not just assisting with tasks — they are executing transactions independently.
When an autonomous AI agent needs to carry out a task that involves payment — hiring an API service, compensating another agent for data processing, settling a micro-transaction in milliseconds — the conventional banking system simply breaks down. There is no checking account for software. There is no KYC for a language model. There is no account opening form for an entity that exists only as code running on a server.
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This is not a minor technical limitation — it is a structural barrier that prevents a new generation of economic participants from operating efficiently in the real world.
And this is precisely where the crypto narrative starts to make a lot more sense than it seemed before. The blockchain does not require a human identity. It only requires a wallet, a private key, and access to the network. An AI agent can generate its own wallet in seconds, receive payments, execute transactions, and interact with smart contracts without needing approval from any bank manager.
All agent transactions are online and inherently global
Viswanathan, who will take the stage at Consensus Miami next month to discuss the convergence between AI and financial infrastructure, was blunt during the interview: all transactions carried out by agents happen online and are inherently global.
That statement carries enormous weight. When we say something is inherently global, we are saying that the concept of borders does not exist. An AI agent running on a server in Ireland can pay another agent hosted in Singapore without either of them having to worry about currency exchange, local regulations, or the operating hours of any financial institution. Money moves like data — because, in practice, it is data.
That is why Viswanathan stated that crypto is the global infrastructure for money that agents need. Not one option among many, but the infrastructure that makes sense by design.
The complexity that drives humans away is exactly what attracts machines
Here is a point that seems counterintuitive but makes perfect sense when you stop to think about it. For years, the crypto community tried to solve one problem: how to make the user experience simpler. 24-word seed phrases, private keys in hexadecimal format, direct interactions with smart contracts via code — all of this is a nightmare for most human beings. And the industry spent billions trying to hide that complexity behind polished interfaces.
But Viswanathan made an observation that completely shifts the perspective. He said that agents read in zeros and ones, and that this is their native language — which also happens to be the language of crypto.
What feels confusing and complicated to us is natural for a machine. An AI agent has no trouble managing a private key. It will not forget a seed phrase. It will not click the wrong button when interacting with a smart contract. The complexity that was always seen as the biggest obstacle to crypto adoption by humans is actually a competitive advantage when the user is a machine.
Viswanathan made an interesting comparison to illustrate this point. He compared the transition from crypto tools used by humans to crypto tools used by AI agents with the historical shift from the postal system to the internet. Just as email is far more powerful than traditional mail because it was designed for computers, crypto follows a similar logic — it is a system native to the digital world that reaches maximum potential when operated by digital entities. 📬
Crypto infrastructure as the native layer of the agent economy
Alchemy is one of the largest blockchain development infrastructure platforms in the world. The company provides the tools and services that developers need to build blockchain-based applications — including APIs, node infrastructure, and data services that power everything from financial apps to non-fungible tokens and games. Essentially, Alchemy enables companies to build and scale onchain products without having to manage all the complexity of blockchain systems on their own.
With this privileged position in the ecosystem, Viswanathan has a unique view of how developers are using this infrastructure today. According to him, a quiet shift is already underway: more and more, the use cases appearing on the platform are not humans trying to manage their own crypto assets — they are automated systems that need to execute financial logic programmatically, at scale, and without manual intervention.
Crypto infrastructure offers some characteristics that are practically unique for this scenario:
- Uninterrupted operation: blockchains run 24 hours a day, 7 days a week, with no holidays and no closing time. For an AI agent that might need to settle a transaction at 3 a.m. on a Sunday, this is essential.
- Native programmability: smart contracts allow the creation of complex payment logic that executes automatically when certain conditions are met, without human approval at each step.
- Permissionless access: any entity can participate in the network without needing authorization from a third party, directly solving the identity problem for autonomous agents.
- Instant global reach: there are no borders, time zones, or correspondent banks standing in the way of a transaction.
This combination of characteristics creates possibilities that simply do not exist in the conventional financial system, and it begins to explain why thinkers like Viswanathan believe we are witnessing a historic convergence between artificial intelligence and crypto. 🚀
You can program a crypto wallet — but you cannot program a bank account
One of Viswanathan’s most striking statements during the interview was when he said that you can write code to manage a crypto wallet, but you cannot write code to manage a bank account in the same way.
This distinction is fundamental. In the crypto world, everything is accessible via code. A developer — or an AI agent — can create a wallet, send and receive payments, interact with DeFi protocols, swap tokens, and execute complex financial strategies, all through lines of code. In the traditional banking system, even the most advanced APIs offer limited functionality, depend on manual approvals, operate within restricted hours, and require layers of human authentication.
For an AI agent, the difference between these two worlds is the difference between having complete freedom to act and being trapped in a bureaucracy that was never designed for it. It is like putting a Formula 1 car on a dirt road — the technology is there, but the environment simply does not allow it to perform at full potential.
What changes in finance when autonomous agents enter the picture
Imagine an ecosystem where AI agents hire other AI agents to perform specialized tasks, paying for those services in real time with fractions of cryptocurrency. An agent responsible for market research could pay another agent specialized in sentiment analysis, which in turn pays a third agent for access to historical data. All of this happens in a matter of seconds, with transactions recorded transparently on the blockchain, with no intermediaries, no outrageous fees, and no delays.
This scenario is not science fiction — the technological pieces for it to happen already exist, and the only thing missing is adoption at scale.
From the perspective of corporate and institutional finance, this dynamic also carries enormous implications. Companies using AI systems to manage complex operations could program their agents to automatically execute payments to suppliers when a delivery is confirmed, settle service contracts without intervention from the finance department, and reallocate resources across different projects in real time based on performance metrics.
The efficiency generated by this type of financial automation would be significant, and crypto infrastructure would be the rails on which all of it runs.
A layered future: traditional finance, crypto, agents, and humans
Viswanathan described his vision of the future as a layered architecture. At the base, traditional finance and crypto coexisting as fundamental infrastructure. Above that, a layer of AI agents operating on top of this financial infrastructure. And at the top, a human interface — simple, intuitive, and accessible — that allows people to control their own funds more easily than ever before.
He compared this structure to the way the internet works today: computers operate the internet, but it is humans who use it. In the same way, agents will operate the financial system, while humans simply reap the benefits of that automated operation.
This model solves one of crypto’s biggest paradoxes: the technology is too powerful to be ignored, but too complex to be used directly by most people. With AI agents doing the heavy lifting — managing wallets, optimizing capital flows, executing transactions — humans can finally have access to a more global, more programmable, and more autonomous financial system, without needing to understand the technical details behind it all. 💡
The impact goes beyond operational efficiency
When AI agents become real economic participants — capable of holding assets, executing transactions, and honoring financial commitments autonomously — the entire framework of how we think about ownership, accountability, and value begins to be questioned.
Who owns the assets that an agent accumulates? How does taxation work when the economic agent is not a conventional legal entity? How should regulators treat autonomous entities that move significant amounts of value without direct human oversight?
These are questions that regulators, lawyers, and economists around the world are already starting to discuss, and the answers will shape the next phase of the digital economy.
What Viswanathan’s thesis reveals about the current moment
The real insight in Viswanathan’s argument is not just saying that crypto is useful for AI agents. It is pointing out that maybe crypto was never really about humans in the first place.
Blockchain technology was born with characteristics — decentralization, programmability, permissionless access, continuous operation — that make far more sense when you think of machines as users than when you think of everyday people trying to replace their debit cards. The narrative of mass consumer adoption may have actually been a detour — an attempt to fit a technology built for a different paradigm into a mold where it never quite belonged.
That does not mean humans do not benefit from crypto — they clearly do, in many ways. But it suggests that the most natural, most organic, and most powerful use case for this technology may be serving as the financial layer of an economy where AI agents are autonomous participants with real needs to move value.
What makes this moment particularly interesting is the speed at which both technologies — artificial intelligence and crypto — are evolving in parallel. Language models are becoming increasingly capable of executing complex tasks autonomously, while blockchain infrastructure is becoming faster, cheaper, and more accessible for developers.
When these two evolution curves cross — and all signs indicate that this crossing is already happening — the result could be an entirely new category of economic activity that does not have a name yet, but already has the technological foundations ready to support it. 🔗
