Today, getting dreamed work as a programmer is no longer as easy as before. As you will know, artificial intelligence has gotten into this world and is putting up the labor market with a debate in living meat that is far from closing.
The serious problem is that this has reached such an extent that There are recent graduates in this sector that, after sending hundreds or thousands of applications, have only received calls from fast food chains. And, if the offers were left over before, it seems that the competition is now extreme.
Going to the numbers, in 2024, there were more than 170,000 students in computer careers in the US, twice as a decade before. But this has now changed and the big ones such as Amazon, Microsoft, Meta or Intel have cut thousands of positions, and the tools of AI now do in seconds what a junior programmer would do in hours.
That has closed many doors to those who are joining the market and the figures speak for themselves. The unemployment rate for newly titled in computer science already is around 6%, and in computer engineering exceeds 7%. To compare, in races such as biology or art history, it barely reaches 3%. And for those who are looking for their first job, this feels like running against a wall.
The IA Barre completely the entry posts and raises the demand to the maximum
But the problem is not only hired less, but that the entry positions are fair that the AI replaces more easily. This makes many people stay out before a person even reads their profile.
In addition, companies are not only looking for people to program and want people who perfectly control AI, who know how to understand, integrate and work with it. The problem is that many universities are late by introducing these contents. Touch, in this case, that it is the students themselves who, proactively, get to work with this technology.
If this path is followed, It is said that, from here to 2030 up to 90 million jobs will be lost due to automation, although more than 170 million new could also be generated. The balance is positive, but with a cost that cannot be ignored or look the other way.
Researchers stop euphoria with AI and support programmers
Comment that, of course, this is an isolated case and that the reality is that, at least for now, the programmers seem to be safe in terms of the arrival of AI refers and that it has become more an ally than an enemy.
Without going any further, recently a study led by the MIT Csail team, wanted to put the points on the ies and speak high and clear of reality. They comment that today AI can give you code, solve leetcode exercises or even help heavy tasks, but large -scale or even business programming is another world.
Not only does it imply writing code to use, but maintaining systems of millions of lines, migrating technology that has been outdated from one language to another, testing failures that only an expert eye can recognize and document decisions of projects that have evolved for years.
Armando Solar-Alema, one of the teachers behind the report, explains it perfectly: «Everyone talks about automating, that the programmer is left over … but the real ‘work’ is much more complex than putting lines of code on the table.»
With all this, it is clear one thing, at least by 2025: programmers will no longer be measured by how much code they write, but by how they purify and optimize it. They will no longer be measured by their abilities to create it, but for how they understand the management of applications and programs to prevent it from being obsolete.
On the other hand, they remain necessary if what is sought is to understand business needs and technical requirements. All this are skills that machines do not replicate. A good programmer in 2025 must act as a bridge.
Of course, controlling AI will be essential and, therefore, understanding how it works and where it is failing will become its main task. As mentioned above, developers who depend blindly on tools such as Chatgpt usually generate code full of security problems.
Know How we work in NoticiasVE.
Tags: Artificial intelligence, work, programming, software