KI ist bereit, die Hebelwirkung auf dem Arbeitsmarkt zugunsten älterer Arbeitnehmer zu erhöhen

Short sighted as always. How do you get more mid-level and senior-level developers? Companies that say „not my problem“ are going to find out that it is in fact a big fucking problem in 10 years when the job market hasn’t collectively trained anyone new up. Unless they’re gambling on full automation by the time they need new people.

> That’s because of the types of tasks that AI agents are able to perform, from writing code at the level of a junior developer to evaluating sales leads. What the agents can’t do in many fields is make judgment calls using the insight that comes from on-the-job experience, according to labor experts.

You mean, the type of insight a „junior“ might have if they could find a job.

> Companies are saying, “I need someone who’s actually done this before because her experience, her wisdom, her critical thinking and the fact that she solved these problems makes her much more valuable,” said consultant and lecturer Ravin Jesuthasan, who has written multiple books on the future of work.

Anyone who has looked for work in the past couple of years has seen this. Companies ramming their heads into the wall with the same dusty, **years**-old job postings looking for folks with 3-7 years of experience, and none willing to hire „juniors“ looking to gain it.

Imagine what professional sports would look like if teams *only* traded or recruited free-agency players who already played on other teams, never farming their own talent.

This was the case even before AI, but instead of training entry-level/“junior“ talent to work more efficiently and cooperatively with AI, they dialed up the brain drain even more, with short-sighted decisions to see how many employees they could immediately replace. (To be sure, some of the blame also belongs to universities that stubbornly refuse to adapt their curriculum to workplace demands, leaving graduates high and dry.)

I’m calling it now. The lack of employee class that Ravin is describing is going to grow into a second „bubble.“

Cutting junior dev roles assumes AI replaces the output without the input. Junior devs do write boilerplate, but they’re also absorbing codebase assumptions, making supervised mistakes, and building domain context. AI handles the boilerplate. It doesn’t build the institutional knowledge junior devs accumulate while doing it — and that’s what eventually produces seniors.