Why Are We All Still Broke
A few months ago, a guy posted on Twitter that he had built a SaaS app over the weekend. Four hours of work, mostly on Saturday morning before his kids woke up. He used a couple of AI tools, didn't write much code himself, and by Sunday night he had two hundred paying customers. He quit his job on Monday. The post went viral. People in the replies were calling him the future.
Eight weeks later, he posted again. There were now two hundred clones of his app. His margins had collapsed. He couldn't compete with the price someone in another country was offering. He was thinking about going back to his old job, except his old job was also using AI now and didn't need as many people. He ended the post with a shrug emoji.
This little story is, more or less, the entire economy of 2026 in one screenshot.
We were told that AI would set everyone free. That anyone could build anything. That the great barrier of "you need to be a programmer" would finally fall, and a million flowers would bloom. Well, the barrier did fall. The flowers are blooming. There are billions of them. And almost none of them are making any money.
Welcome to the vibe coding economy, where everyone is a builder, the apps are infinite, and somehow we are all still broke.
What vibe coding actually is
The term was coined by Andrej Karpathy, formerly of OpenAI and Tesla, in early 2025. He used it to describe what happened to his own coding practice. Instead of carefully writing each line of code, he would just vibe with the AI. Describe what he wanted. Watch the code appear. Run it. If it broke, paste the error back. If it worked, move on. Don't read the code too carefully. Don't worry about the structure. Just keep moving until the thing works.
Within months, the term took on a life of its own. Tools designed for exactly this style of work exploded into the mainstream. Cursor. Replit's agent. Lovable. v0. Bolt. A bunch of others with names that sound like flavored sparkling water. Each one promising the same basic thing: you describe, we build.
And it worked. Genuinely. A fourteen year old kid shipped a Chrome extension that hit a hundred thousand users in a week. A non-technical product manager at a startup built the company's entire MVP herself in a long weekend. A retired accountant built a tool to do his taxes, then turned it into a tiny business. Stories like this stopped being rare. They became normal. Boring, even.
The friction between having an idea and having a working version of that idea didn't just get smaller. It mostly disappeared.
That should have been amazing news for everyone. It mostly wasn't.
The dream they sold you
The pitch was simple and emotionally satisfying. For decades, software was a closed club. To make anything real, you needed to either learn to code yourself, which took years, or pay someone who could, which took money. There was a wall around the kingdom and most people lived outside it.
Vibe coding kicked the wall down. Anyone could build a thing. The college student with no funding could compete with the funded startup. The single mom with an idea on her lunch break could ship it that night. The old guy in a small town who knew a niche industry inside out could turn his expertise into an app without ever hiring a developer.
This was supposed to be the great rebalancing. The end of gatekeeping. The dawn of a thousand new businesses, run by the people closest to the problems, finally free to fix them.
And to be fair, some of that actually happened. There are more independently built apps now than ever before. There are more people earning a small income from their own software than at any point in history. The college student really can ship something cool from a dorm room. That part is real.
But the rest of the story turned out to be more complicated.
The flood
Here is what nobody on stage at the AI conferences likes to talk about. When you make something easy to produce, the price of producing it collapses. This is the oldest economic law on the books. It applied to corn. It applied to crude oil. It applied to t-shirts. And it absolutely applies to software.
The app stores right now are a graveyard with confetti on top. There are more apps than any human will ever discover, let alone use. For every category you can think of, there are five hundred apps doing roughly the same thing, with the same UI, the same pricing, and the same lifespan of about three months before they're abandoned. Many of them are built by AI agents copying other AI-built apps. Software is now produced at a faster rate than humans can plausibly evaluate it.
When something gets built that actually works, the clones come within hours. Not weeks. Hours. There's an entire culture of people on Twitter who reverse engineer a viral app the same day it launches, ship a copy by morning, undercut the original on price, and then announce their version as if they invented it.
This used to be a slow problem. Now it's instant. By the time you've finished celebrating that your app crossed a thousand users, the clone with a slightly better landing page has already taken half of them.
In a world where building costs nothing, building isn't the bottleneck anymore. The bottleneck moved.
The disappearing middle
While the indie builders were getting flooded out by clones, something quieter was happening to actual software jobs.
Junior developer hiring has been in steady decline for two years. Big companies aren't replacing the engineers who leave at the same rate they used to. Mid-level engineers are being asked to do what senior engineers did three years ago. Senior engineers are being asked to do what entire teams used to do.
The math is brutal and obvious. If one engineer with AI tools can produce what three engineers without them used to produce, you don't suddenly need three times as many engineers. You need one third as many. The companies aren't being cruel about this. They're just doing arithmetic.
This wasn't supposed to happen. The story was that AI would augment developers, not replace them. And technically that's true. AI is augmenting developers. There are just a lot fewer developers being augmented than expected, because companies looked at the new productivity numbers and decided to keep the productivity and lose the people.
The kids coming out of computer science programs right now are in a uniquely bad spot. They learned to code at the exact moment that "learning to code" stopped being a guaranteed ticket. Many of them are angry. Most of them have a right to be.
Where the money actually went
So if the indie builders are getting eaten by clones, and the salaried engineers are getting eaten by efficiency, where did all the money go? Because someone is making money. AI is, at the moment, the largest single investment story on Earth.
The answer is the oldest answer in the book. The tools won.
In every gold rush, the people who get rich are not the ones digging for gold. They are the ones selling the shovels, the pickaxes, the jeans, and the lunch sandwiches. In this gold rush, the tool sellers are companies like Cursor, which went from zero to a multi-billion dollar valuation faster than almost any software company in history. Anthropic and OpenAI sell the underlying models. Nvidia sells the chips that run them. AWS, Google Cloud, and CoreWeave sell the racks the chips live in.
The vibe coders are paying these companies. The companies who hire the vibe coders are also paying these companies. The clones are paying. The originals are paying. Everyone is paying, and the money flows up the stack to a small number of platforms that own the picks and shovels.
This is not a moral failure. It is the structure of the system. When the marginal cost of production hits zero, value migrates to wherever scarcity still exists. And in 2026, scarcity does not live in the code anymore. It lives in the infrastructure underneath it.
What is actually scarce now
If code itself is cheap, what isn't?
A few things. The list is short but important.
Distribution. The single most undervalued skill of the next decade. If you can get a thousand real people to look at your thing on launch day, you have something most builders no longer have. Distribution used to be a marketing department. Now it is the whole business.
Taste. Anyone can build an app. Very few people can decide which app is worth building, what to leave out, and what makes a product feel right instead of generic. Taste is the new senior engineer. It does not show up in your AI prompts.
Trust. When there are five hundred clones of every product, users have no idea who to trust with their money, their data, or their time. Brands that have earned trust over years suddenly have an asset that the clones cannot replicate at any price.
Audiences. Owning attention. Owning a list. Owning a community. The people who already had this before the vibe coding wave were quietly the biggest winners of the whole thing, because they could ship anything and it would land.
Notice what these have in common. They are all things that take time and judgment to build. They are the things that AI cannot just generate for you on a Saturday morning.
The trust crisis underneath it all
There is one more piece of this puzzle worth saying out loud, because it tends to get hidden.
In a world where any agent can spin up any app and any clone can deploy in an hour, the entire web becomes a place where you cannot easily tell what is real, who built it, what their incentives are, and whether the thing you are paying for is going to exist in two months. The cost of being lied to went up at the exact moment the cost of building went down.
This is the kind of problem that doesn't get fixed by a single product. It gets fixed by infrastructure. Verifiable agent identity. Onchain provenance for what AI actually built. Reputation that travels with you across apps instead of being trapped inside one company's database. Real proof of which agent did what, when, and with whose authority.
This is the corner of the AI and crypto worlds where projects like Ozak AI are quietly building. The bet is that as the vibe coding flood continues, the only platforms that survive are the ones whose actions you can actually verify. Not because trust is a nice marketing message, but because in an economy where anyone can build anything in an afternoon, being verifiable is the only durable moat left.
It's the unglamorous infrastructure layer. The plumbing under the gold rush. And it's where the next generation of value is probably going to settle.
What you should actually do
If you're reading this and you're trying to figure out where to put your time, here's the honest summary.
Stop trying to build the thing. The thing is no longer the bottleneck. A million vibe coders are already building the thing, and most of them will not get paid for it.
Start owning the channel. Build an audience, a list, a community, a brand, something that can carry whatever product you make next. Audience is the new code.
Pick something specific. Generic apps get cloned in a day. Strange, narrow, deeply specific products take much longer to copy, because the clones don't understand the niche.
Or build the picks and shovels. The other path is to skip the apps entirely and build infrastructure, tools, or trust systems that everyone else needs.
The vibe coders aren't wrong to be excited. Something genuinely magical did happen. The act of making software stopped being the slow part of having an idea.
But making software was never actually where the money was. We just thought it was, because everything else around it was easier. Now that everything is easy except the parts that were always hard, those hard parts have suddenly become valuable. Taste, trust, distribution, judgment, and verifiability.
Which, weirdly, are the most human things on the list.
You can vibe your way to a working app. You cannot vibe your way to a real business. Yet.
