NextFin News - 54.5% of the 3,000 German companies surveyed already use AI in business processes, and among those users close to 20% say it is easy to replace employees with university degrees with AI-enabled staff without degrees. About 15% say it is easy to swap experienced workers for less experienced staff supported by AI.
This is not about AI making university degrees worthless — it is about employers rewriting the minimum input needed to get routine work done. The real change is in the cost structure of hiring: if software can standardize part of the job, companies can test whether they need a graduate at all or whether a cheaper worker with AI support is enough. That matters most in retail and wholesale, where firms showed the highest readiness to make these substitutions, because repetitive workflows, customer-facing tasks and narrower judgment make the trade-off easier to attempt.
On the surface this looks like a technology story; the real issue is pricing power in the labor market. The split between education and experience is the clearest signal. Close to 20% of AI-using firms said replacing university graduates would be easy or very easy, while only about 15% said the same about experienced workers. That suggests employers still put a higher value on tacit knowledge, institutional memory and judgment than on the credential itself, so AI may compress the premium on a degree before it compresses the premium on experience.
Anna Ruffert of Ifo said “AI is transforming the world of work and in some areas can even partially replace formal qualifications and experience.” The logic holds up, but only in a narrower way than the headline implies. Companies are not saying all graduate roles can be downgraded; they are saying some tasks inside those roles can be standardized, accelerated or partially automated. The beneficiaries are employers that can lower wage costs or widen the hiring pool, and workers without degrees who can become viable candidates in AI-supported roles. The pressure falls on recent graduates in routine commercial work, and on universities whose value proposition depends on the degree itself serving as a reliable signal of job readiness.
What still needs to be verified is whether stated ease turns into actual hiring changes. The math doesn't add up yet if the survey is read as proof of a broad labor-market reset: this is a survey of perceptions, not a measured count of jobs lost or degrees eliminated. Employers often say a task is easy to automate long before they change hiring standards, and budget pressure, labor shortages, regulation and internal risk aversion can slow or block implementation. The risk nobody is talking about is that a company may cut credential requirements faster than it can protect customer service quality, compliance or brand reputation. Whether this works depends on whether firms can prove that a non-graduate plus AI can match output, judgment and accountability in live operations, not just in theory. The most concrete fact remains 54.5%: AI is already embedded in daily business decisions, and that is where the pressure on hiring standards is starting to show.
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