What if I told you that in the following years, we will see a rise in a large number of new tech startups by businesspeople, without tech teams, big budgets, or months of waiting?
Just a few months ago, this idea would have sounded unreal. But today, thanks to advances in artificial intelligence and a concept popularly known as “vibe coding,” that idea has become accessible to more entrepreneurs than ever before.
This does not mean that developers are becoming less important. On the contrary, the tech scene could never exist without their knowledge. But this is a story about changing the rules of the game. For the first time in history, business people can independently turn their expertise into a functional digital product, and faster than the market ever allowed. If you’ve ever seen the TV series Silicon Valley, you might remember this scene: a team of developers in a garage, pizza boxes, lines of code and overnight development crunches. That was the formula. But what if you didn’t have that team? What if you understood the task at hand but didn’t know C++ or Python?
For years, the largest hurdle for entrepreneurs was how to start. The idea was not the problem. Neither was understanding the market, nor contacts, nor in-depth industry insight. But turning that idea into a product always demanded a strong tech team or a serious budget. If you weren’t a developer, you had to find a cofounder who was to persuade the developers to start the risky early phase of the project, or you had to set aside tens of thousands of euros, which is more than beginners have.
Today, that Silicon Valley formula is changing. It’s no longer the case that a team of engineers in a garage programs alone without specialized domain knowledge. Business people are getting into the game, not only as “idea men” but as the ones who can build up the first version of the product.
This is the reason a lot of good ideas have, for decades, been left in locked drawers. AI has totally flipped that dynamic. Not by “replacing” the developers, but by making early product versions accessible to everyone.
Vibe coding is a term describing a new generation of AI development tools that don’t need previous tech knowledge. Instead of understanding the code, architecture, or complex logic, all you need is to clearly define what you want, how it should look, what it should do, and what impression it should have on the users.
The tool then generates a technical structure for you. Instead of the usual process that lasts for weeks or months, today you can:
- Describe the wanted functionality with casual language
- Get a complete prototype in a couple of hours
- Test the product with real users on the same day
- Directly change the product according to the return information
The result? Entrepreneurs no longer depend on other development cycles. They can use their own expertise and turn it into a product without the wait. Obviously, the developers remain key to the further development of the product in order to build a reliable, scalable, and secure system.
Up until now, everything depended on technology. If it took a lot to develop, it took a lot to reach the market. Today, the priority has moved from technology to understanding the task at hand. There, business people have a great advantage.
Over the years, they have gained the industry's inside scoop. Therefore, they understand how end users actually think and what they really need. So, they know how value is created, they understand loopholes in the processes, they see irregularities in the market and opportunities invisible from the outside. Those are the insights you cannot get from a course or a book; you can only get them from experience.
When you combine such experience and knowledge with tools that allow you to build a prototype, you create a historic opportunity. For the first time, the people who understand the market can create and test a product on their own.
This does not decrease the value of developers. When the product starts to grow, they are the key players in further development and scaling. But early on, when verifying the idea and building early product versions, the focus shifts to business knowledge and rapid hypothesis testing.
The first change - the barrier to entry is drastically changing. What once cost tens of thousands of euros and required a team, you can now create with a few tools and a well-defined idea.
The second change - the validation is faster. Instead of waiting for months, you can get first confirmations of user interest in a few days.
The third change - the room for experimentation is becoming bigger. Previously, you had a limited number of opportunities before you were out of resources. Today, you can test a lot more ideas, a lot faster, and a lot cheaper.
The fourth change - a new generation of solo founders is growing. These are not the people who want to replace tech teams, but the ones who want a quicker route to the first product versions, users, and insights, before they hire programmers for more serious development.
The fifth change - there is a rising number of small, profitable micro-startups that aren’t aiming at billions, but rather a stable income. Before, something like this was a hard undertaking because the development and maintenance were expensive. But now, it is a realistic option.
If we follow the current trends, we can see that technology is becoming a lot more accessible, so understanding users and domain insights are becoming a lot more valuable.
This means that people from the business world will have much more influence in the early phases of product development. Not because they are “better” than programmers, but because Al is removing the barriers that have kept them from the development processes.
It is exactly that combination, business insights plus AI-assisted development plus later technical development, that will be the basis of a new wave of innovation. All you need now is to understand the problem you need to solve, to have a clear vision of your product and the courage to try. Technology is no longer a barrier, it has become a tool.
No more is the question is “can I make it,” but rather “do I know what I need to make, and who for?” If you’ve reached the end of this post, then you already know the answer to that question.
All that remains is to begin.
