Financial Inclusion Was Never About Apps. It Was About Language.
The neobank and consumer FinTech era has spent fifteen years selling itself the same story: build a clean mobile app, drop the fees, throw in a debit card, and you have democratised finance. The story has been useful for fundraising. It has not been especially useful for users.
The Problem That Apps Cannot Solve
The actual barrier to financial participation has never been the absence of an interface. It has been the gap between what people want and the technical vocabulary required to ask for it.
A user does not wake up wanting to rebalance their stablecoin exposure across L2s. They wake up wanting their savings to work harder, or to send money to family, or to hold dollars in a country where dollars are difficult to hold. The fintech industry has tended to design for the request after it has been translated into product language, not for the request as it lives in the user’s head.
This is why traditional bank UX still works, in a clunky way. Not because banks are good at design, but because a teller can hear, “I want to save for my kid’s school”, and route it without the customer needing to know what a money market fund is. The vocabulary problem gets solved by a human standing in front of you.
DeFi removed the human and left the vocabulary in place. And then, it added more of it.
Why This Cuts Deeper Onchain
Onchain finance multiplies the language problem. There are dozens of chains, hundreds of protocols, and a lexicon that turns over every six months: Stake. Restake. Liquid stake. Restake the liquid stake. Each layer was a real engineering step forward. Each layer was also another translation a user had to do before they could even ask the question.
The industry’s response has mostly been to teach. Glossaries inside wallets. Tooltip explainers. Long blog posts walking through the new thing. This approach has a ceiling, because most people will never want to learn the vocabulary of finance any more than they want to learn the vocabulary of plumbing. They want the water to come out of the tap.
Of course there is always a small fraction of users who will always be deep operators. They read the docs, they run the nodes, they hold strong opinions about MEV. Everyone else has been waiting for the moment when they no longer have to.
What Changes When the Agent Does the Translation
AI changes this in a specific way. It is not that the protocols suddenly become easier. They are exactly as complex as they were. What changes is that the user no longer has to be the one doing the translation.
Plain language access to onchain finance is not a UX flourish. It is the precondition for the next set of users showing up at all. When you can say, “I have some idle ETH, what can it earn safely?”, and get a real, executable answer back, you are not using a friendlier app. You are using a different category of tool.
This is also why the translation layer matters more than the chat window that wraps it. The chat window is the visible part. The work happens underneath: parsing intent, choosing the chain, routing the swap, simulating the transaction, checking that the protocol is one you would actually want to touch. Done well, the user never sees any of it. Done badly, the user gets an agent that confidently does the wrong thing.
The Inclusion Argument, Reframed
If financial inclusion was ever a real goal and not just a fundraising line, the conversation should not be about how many people have a banking app installed on their phone. It should be about how many people can act on their financial intentions without having to learn a second language first.
By that measure, fintech has barely moved the needle. Onchain finance, with an agent layer on top, has a real shot at moving it. Not because the protocols are friendlier, because they are not. But because the user no longer has to meet the protocol on its terms.
The next billion participants in onchain finance will not arrive because we built better dapps. They will arrive because they finally got to ask, in their own words, for the thing they wanted. And something answered.
That is a different bet than the one the industry has been making for most of the last decade. Looking at the evidence, it may also be the only one that has ever had a chance of working.