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Siemens HR Chief Wiese: AI Won’t Replace Entry-Level Jobs

This is an AI translation into this language for easier reading. The original is the German version: open German original.

Siemens HR chief Wiese warns against denying young employees the chance to do things themselves because of AI. Otherwise, they will later lack skills that no model can provide.

2 min read
Siemens HR Chief Wiese: AI Won’t Replace Entry-Level JobsAI MODIFIED

TVS News AI, editorially supervised, presents Siemens HR Chief Wiese: AI Won’t Replace Entry-Level Jobs.

Siemens HR chief Wiese has delivered a clear message to the business world: Denying young employees the chance to do things themselves because of artificial intelligence robs them of skills for the future. The warning comes at a time when generative models are increasingly able to take over routine workplace tasks.

For you, this means: Even if an AI tool completes a task in seconds, your own learning journey cannot be replaced. Anyone who misses the entry point will have difficulty catching up later—whether in tech, administration or a skilled trade.

Wiese Warns Against Prematurely Shifting Work to AI

The HR chief of the Munich-based DAX company states her warning clearly: Young employees still need the opportunity to complete tasks independently—even if those tasks seem unappealing or an AI could take them over. Otherwise, a gap would arise that could no longer be closed later. Both major German media outlets—Handelsblatt and ZEIT—picked up the statement on October 20, 2026, under the same headline.

HR chief Wiese warns against denying young employees the opportunity to do things themselves. Otherwise, they will later lack skills.

Source: Handelsblatt

Why Entry-Level Jobs Are More Than Routine

The warning is based on a simple logic: Anyone who has not handled standard tasks themselves over the years lacks the practical toolkit when it really matters. Their own mistakes, time pressure and small successes are, according to Wiese, the material from which later expertise develops—something that cannot be delegated to a language model.

The warning is therefore not directed against AI itself, but against a form of deployment in which young employees merely check AI outputs instead of working themselves. A generation that only evaluates outputs without knowing the processes would fall behind as soon as the models no longer know what to do.

What This Means for New Entrants

For career starters, the message is doubly relevant: Anyone who deliberately seeks tasks below their own standard at the beginning should ask whether the company is still giving them room to learn. Siemens’ warning can serve as an argument for asking exactly this question in job interviews or employee discussions—what am I still allowed to do myself?

The voice from Munich is also a warning for companies beyond the tech sector. Anyone deploying AI everywhere too quickly risks having no one left in the medium term who can grow into greater responsibilities. The statement by a DAX HR chief carries particular weight because it combines experience with the typical career paths of a major corporation—and not merely with startup thinking.

Sources: Handelsblatt, ZEIT

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