AI writes code in seconds. So why are custom websites still so expensive?
Today, AI can generate a website in minutes, yet there are still projects that cost tens of millions of forints. And the reason for this is simple: typing out the code was never the most expensive part of development.
Any AI can write a login page in a few minutes today, but it cannot decide for you who can access what in your system, how all of this fits into your GDPR compliance processes, how your webshop connects to the ERP system handling your inventory, or whether what you build today will remain maintainable five years from now. These are not minor technical details; they are precisely the decisions on which a development project ultimately fails or pays off.
In the past, competitive advantage meant being able to develop faster; today, however, it means being able to make good decisions faster.
What We See in Our Client Projects
This is not a theoretical question, but something we encounter on a daily basis. During the launch of a complex webshop, AI can generate a product card template in minutes, while the shopping cart logic, inventory sync, and the fault tolerance of the payment process require decisions that can only be made well by those who understand the purchasing and logistics processes of the given company.
The situation is similar with a multilingual, international website, because AI can translate text quickly, but it cannot tell you which legal texts are mandatory in which market, how the structure scales across ten languages, or where the language switcher disrupts the user journey. And when developing a custom CRM or client portal system, there is almost always a point where designing permission levels and data handling rules becomes the most critical, meeting-heavy part of the project—much more so than writing the interface itself.
In these situations, AI is an excellent executor, but system architecture—meaning deciding how things fit together and what happens five years down the line—remains a human task.
Good architecture is invisible for years. Bad architecture becomes painfully obvious in a matter of months.
Humans Are No Longer the Only Ones Reading Your Website
There is another layer that an increasing number of business leaders overlook. Today, your website is read not only by human visitors, but also by AI-based search engines and assistants that answer your potential clients' questions on your behalf with increasing frequency. A website that is technically fast but unprepared for this can remain just as invisible in AI search as a poorly structured site used to be for Google, since a search engine can only present what it can actually comprehend. We refer to this capability as AI Visibility, and the logic behind it is exactly the same as in software development: fast execution alone is not enough if the underlying decisions are poor.
Why Hasn't Development Become Cheaper?
It is worth looking specifically at what AI is good at today and what it is not. It performs reliably on routine tasks, boilerplate components, repetitive backend work, and generating tests—precisely the tasks that developers tend to postpone anyway. When modernizing an outdated, hard-to-maintain system, it offers substantial assistance that can reduce weeks of planned work down to days.
The other side is equally important: deciding whether a change is architecturally sound, whether error handling covers real risks, or what a specific data field means within your enterprise processes requires human judgment—because AI does not know this unless someone explains it. In security decisions and complex debugging, there is almost always a point where a human must step in and take control.
Most bad systems do not fail because they were written poorly. They fail because they were built on bad decisions.
This is the answer to why development has not become cheaper: not because AI is bad, but because the most expensive part of the work was never the typing—it was the decision-making.
What Is Happening in Software Development, and Why It Matters to You
The role of developers is transforming rapidly. According to this year's analysis by the World Economic Forum, 65 percent of developers expect that by 2026, their daily work will shift from typing code toward directing AI and responsible decision-making.
As a business leader, one thing matters most to you here: if you see a proposal where someone promises a lower price based solely on the speed of AI, it is worth asking who will review what the AI generated and how. Speed is not the only factor worth considering.
The Trap of "Vibe Coding," and When You Truly Don't Need a Partner
There is an instructive counterexample: the developer who picked up a buzzword and from then on manages a project on the premise that "AI will write it anyway," without even reading what the AI generated. This is the fastest route to technical debt, because the code compiles, the demo works, and then six months later nobody knows why it crashes under live load. The AI didn't make more mistakes than a junior developer would have; there was simply no one alongside it to evaluate its work.
Let's be honest, because you don't need a partner for every task. If you need to build a well-defined internal tool, a simple landing page, or a prototype where long-term maintainability is not at stake, a skilled person with a good AI tool is more than enough—and we will be the first to tell you that. Our work becomes valuable where decisions carry business and legal consequences, where the system must operate for years, and where someone needs to put their name on the line to ensure it stays that way.
What History Shows, in Short
Fear of automation is understandable, but history shows a different pattern: IDEs and later cloud platforms reduced the cost of development every time, and every time led to more software and more skilled jobs, not fewer. AI will likely follow the exact same dynamic, only much faster.
What you, as a business leader, should take away from this is that the development market is not shrinking, but reshuffling. The question you should ask a prospective partner is not how fast they can write code, but what decisions they will make on your behalf and who takes responsibility for them.
The Junior Developer Question as a Business Risk
The traditional value of a junior developer lay in handling repetitive work and simple tasks—precisely what AI does well today. Salesforce announced in 2025 that it might not hire new software engineers, citing productivity gains achieved through AI, and a 2025 industry analysis showed that the top 15 tech companies hired over 50% fewer recent graduates compared to 2019 levels.
This may seem like a logical decision in the short term, but it poses a serious risk in the long run: if companies stop hiring juniors, the industry loses its talent pipeline, and today's seniors will eventually retire or transition into management. Anyone planning a long-term development partnership should ask how their partner is addressing this issue.
Who Takes Responsibility?
You used to pay a developer because they knew how to write code; today, you pay them because they know which code not to write. AI can write a thousand lines of code in minutes, while a good senior developer can discard five hundred bad decisions in minutes. AI delivers execution, not responsibility—and when a system handles money, stores customer data, or needs to run flawlessly for years, someone has to sign off that the right decision was made. You cannot prompt your way out of that role.
AI did not replace developers; it simply pushed the keyboard further back on the desk. In 2026, the winner is no longer the one who writes more code, but the one who makes fewer bad decisions. And this applies not just to code, but to your entire digital presence—because while AI can generate a website today, someone still needs to design the system behind it and ensure it is understood not just by humans, but by AI-driven search engines as well.
If you would like to see how well your current website supports your business growth and how visible it is to modern AI search engines, we would be happy to review it with you. Because while AI makes execution cheaper and cheaper, good decisions, accountability, and a system you can build upon still cannot be prompted into existence.
