3,000 Euro Coding Bootcamp: The AI Employment Fear

Paying 3,000 euros for a coding bootcamp: the shadow of AI

Is it worth spending 3,000 euros on a coding bootcamp to become an IT specialist if artificial intelligence will write the code for you? This question has moved beyond idle conversation. A family faces it with a son who has decided to retrain and a father who suspects he is funding a ticket to unemployment. The issue peine with a title that sums it all up: whether AI will take the future programmer's job.

The starting point was blunt. An acquaintance warned against wasting money, claiming that in five years — according to his account — there will only be jobs for about 8,369 IT professionals worldwide, all managing AI, and they will be «more mathematicians than IT specialists». As backing, the warning attributed to an Asian entrepreneur: «do not study programming, an AI will do it for you».

Will AI take programmers' jobs?

The short answer is that nobody knows, and the long one is that those who shout the loudest provide the least data. One part of the analysis argues that AI is nothing new: it has been present in many industries for «a couple of decades» and, according to that forum user, knows no cases of dismissals attributable to it. Another draws an opposite scenario: so-called AI agents already program full-stack applications from scratch, breaking the task into subtasks and resolving them step by step. The human only describes the requirements and corrects the course.

Some argue that the damage is concentrated at the bottom. Junior profiles would be the most fragile part: «only seniors with extensive experience in specific technologies are sought», summarizes a participant. AI does not replace the architect who decides what to build; it eats the first line, the manual code that used to feed the recent graduate. And there lies the knot: whoever pays for a bootcamp expecting to enter through the back door finds that this door is exactly the one that is narrowing.

The six-month bootcamp that ended in a salary

Against the catastrophic verdict appears an uncomfortable counterexample: someone knows a programmer who works thanks to a six-month bootcamp. It is not a statistical law, it is an isolated case, but it dismantles determinism. The problem would not be the format, but the filter. There are courses that teach how to write code and courses that teach how to solve problems, and the market has begun to distinguish them. If the program stays basic, some predict «butcher's meat, negotiated dismissals and bad faces at the SEPE»; if it forces thinking, the title matters less than the criteria.

The comparison with vocational training or a regulated engineering degree does not disappear: the degree is perceived as a hard filter, and the express course as a quick bet. The question that would hover over the entire discussion is whether this shortcut still exists or if AI has already blinded it.

The precedent no one disputes: photography

When a fundamental technological change appears, the best compass is usually history. One of the most repeated analogies is the shift from film to digital: for years, some swore that 35mm photography would never fall and that developing was an eternal profession. Today almost no one develops film. The same peine with carburetors, ignition points, or VHS. From each leap, fewer jobs remained in the old model and a new industry emerged, with professions that did not exist before.

The lesson is not that everything will turn out well, but that destruction and creation go hand in hand. And that getting right which is which, at the exact moment, almost always goes wrong.

Does AI reason or only imitate?

The most technical part goes to philosophy. One school of thought argues that language models do not reason: they apply external reasoning and therefore short-circuit and change their minds when pressed. Another responds that this is, precisely, what a human does 99% of the time. Someone states that brain is not the same as mind. The machine may not have consciousness and, nevertheless, be functionally intelligent: like an airplane does not fly like a bird, but it flies.

For the aspirant's pocket, another nuance matters. Although AI «reasons», programming is not typing code: «it is implementing solutions using computer systems with logic and analysis». And there human judgment weighs more than the demo of the moment suggests.

The rival not in the headlines: no-code

While everyone looks at AI, the real enemy of many positions might be another. No-code tools, which anyone can handle, have been eating up the most repetitive tasks for years. «Free code a click away has been around for quite some time», recalls someone; opposite, the reply: «having a calculator does not make you an accountant». The net effect, however, is there: less room for entry-level and more pressure on those who only know just enough.

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The practical conclusion left by the discussion is not a verdict on AI, because there is none. It is a calculation on the cost of being wrong. Three thousand euros are not a fortune, but they are a bet. And as with all technological bets, the one who arrives last with the photo of the film in hand is usually not the one who collects.