90% of New IT Graduates Won't Get the Career They Trained For

For years, every young person heard the same script: study computer science, learn to code, get an IT degree, build a few projects, graduate, and land a good job. It sounded almost mathematical — technology is the future, companies are starving for developers, the salaries are high, and universities print thousands of graduates every year. The decision looked obvious.

Then something changed.

A graduate opens LinkedIn and searches for an "entry-level software developer." The first posting asks for two years of experience. The second wants Docker, Kubernetes, React, AWS, and AI. The third already has seven hundred applicants. The fourth quietly vanishes before anyone even knows whether a human read the résumé.

So let me make a deliberately uncomfortable prediction: 90% of new IT graduates may never reach the career they spent years preparing for.

90%? Let me qualify that number before you start a war

Before anyone screenshots that sentence and opens a war in the comments — let me be honest: the 90% is not an official statistic. There is no study saying nine out of ten graduates will stay unemployed forever. In fact, the numbers say otherwise.

In the US, unemployment among recent graduates (ages 22–27) was about 5.7% in mid-2026, according to the Federal Reserve Bank of New York¹. Not catastrophic. But the real problem isn't there. The problem is that roughly 42% of recent graduates work in jobs that don't require their degree at all — four years of study to end up doing something else.

So the question is no longer "will they find a job?" The more frightening one: "will they be able to enter the profession they actually studied?" And that is exactly where the ground has started to move under graduates' feet.

The first rung of the ladder is disappearing

Every profession needs beginners. No senior developer became senior by magic. They started with ugly code, fixed small bugs, asked embarrassing questions, and spent hours on a problem an expert solves in ten minutes. That "waste" was never a flaw in the system — it was the training system itself. Companies absorbed the cost of a junior because the junior became a senior tomorrow.

But AI changed the math. A senior engineer with AI tools can now do the work that used to be handed to juniors: the repetitive code, the documentation, the simple tests, the easy bug fixes — exactly the tasks a beginner used to learn the craft from.

This isn't a guess. A late-2025 study from Stanford found that workers aged 22–25 in the jobs most exposed to AI saw employment fall about 16%, while older workers in the same jobs held steady². A SignalFire report showed new-graduate hiring at big tech companies dropped about 65% from 2019 levels, tying it directly to AI now doing "the routine code, the tests, and the debugging"³. Even Microsoft, in an official piece, said it plainly: the incentive has become "hire a senior, automate the junior" — which drains the talent pipeline from the inside⁴.

Companies still want seniors. They just have fewer reasons to hire juniors. And if nobody hires the junior, where is the next senior supposed to come from?

"Entry-level"… but experience required

Read enough job ads and you run into one of the strangest contradictions in the market: a role for beginners. Experience required.

Universities still graduate students into a world built on semesters and neatly defined projects. The market lives in another universe: Git, real databases, cloud infrastructure, APIs, security, deployment, testing, containers — and on top of all that, AI-assisted development. Demand for AI skills in entry-level roles has become "more than a third of jobs," roughly triple the level of late 2025⁵.

Think about the speed. A student begins a degree under one technical reality and graduates into a completely different one. The curriculum moves every few years. The market moves every few months. AI moves every few weeks. The graduate is running a race while someone keeps moving the finish line.

Technology isn't dying — the path is

Here I have to be fair, because this point matters a lot. Technology is not collapsing. The US Bureau of Labor Statistics projects computer and IT jobs to grow "much faster than average," with about 317,000 openings every year through 2034⁶. Software developers alone are projected to grow 15%⁷. And US employers expect to hire about 5.6% more graduates from the class of 2026 than the year before⁸.

So how do I talk about a collapse? Because I'm not seeing the collapse of technology. I'm seeing the collapse of the old path into technology. There will be jobs. There will be extraordinary careers. But those jobs may not spread evenly across this enormous crowd of graduates holding the same degree and competing for the same entry-level seat. A future with more technology that needs fewer traditional beginners.

In Jordan, the story is heavier

So where do we stand in all this? Our version is a little heavier. According to the Department of Statistics, unemployment among Jordanians reached about 21.4%⁹. But the number that should stop you: more than half of the unemployed in Jordan hold secondary education or higher. The certificate alone no longer protects you.

The clearest, most painful example: Jordanian women. More than 74% of the female labor force holds a bachelor's degree or higher — and yet unemployment among them is about 34%⁹. More education does not automatically mean more opportunity. And across the Arab region, we have the highest youth unemployment in the world, around 28%¹⁰.

At the same time, Jordan graduates tens of thousands from its universities every year — thousands of them in technical fields — while the entire ICT sector employs about 46,000 people, and the market produces graduates at several times the rate it can absorb¹¹. The math simply doesn't add up.

The market became a tournament, not a ladder

The old model was simple: degree → first job → experience → mid-level → senior. The new model became: degree → brutal competition → proof of ability → specialization → maybe an opportunity.

The degree gets you into the tournament. It doesn't guarantee anyone lets you onto the field. And AI made the tournament harsher, because a company now expects far more output from every person it hires. Today's graduate isn't compared to yesterday's graduate — he's compared to yesterday's graduate plus AI. And that changes what "good enough" means.

So what makes someone choose you?

The exceptional graduate will be fine. The one who builds real systems, understands the fundamentals, talks to people, uses AI intelligently, and develops a specialization — that person stays in demand. But that's not the graduate I'm worried about.

I'm worried about the "average" graduate. The one who was told that finishing the degree was enough. The one with three projects copied from YouTube. The one whose résumé lists fifteen programming languages but who has never once worked on a real application used by real people. The one sending three hundred applications and starting to suspect that something is wrong with him.

The one who makes it isn't the one who writes code faster than the machine — that contest is over. The one who makes it understands the problem, designs the solution, and knows when the machine is wrong.

The value moved. It moved to the person who understands the problem, designs the system, judges the AI's output, tells its mistakes from its wins, talks to humans, and takes responsibility for what gets built — not the person who memorizes faster.

Enough — stop lying to students

Universities need to stop selling a technology degree as a guaranteed ticket to a high-paying job. Parents need to stop saying "study computer science, it's safe." And the student needs to stop believing that finishing the coursework makes them ready for the market.

Technology companies need to admit something uncomfortable too: if every company wants seniors and nobody is willing to train juniors, the sector ends its own talent pipeline with its own hands. You can't delete the junior and expect seniors to appear out of thin air. The industry needs real training, small starter projects, and a new way to raise people alongside AI — not the expectation that they show up already senior.

And I'm not saying this from the outside. I've worked with juniors, and I've seen how a person learns when you give them room to make mistakes. The problem is that the room is shrinking.

So the right question in 2026 is no longer "should I study IT because technology is the future?" — of course it's the future. The harder, more important question is: "what can I do that makes someone choose me, in a world where everyone has a degree and everyone has AI?"

That is a much harder question. But it's the one every new graduate has to answer. Because the degree may get you to the door. It no longer guarantees the door will open.