One in Five AI-Using German Firms Could Replace Graduates with Less-Skilled Staff, Study Finds

A sweeping survey of 3,000 German companies by the Ifo Institute suggests that artificial intelligence is beginning to reshape the country’s white-collar workforce. One in five businesses that already deploy AI say they could replace academic professionals with specialist staff who lack traditional degrees but know how to operate the technology. In the retail sector, that share jumps to 29%. The majority of companies, however, still consider such substitution difficult to achieve.

The findings come from a broader analysis of economic and labour-market transformations triggered by AI. While the technology has yet to become a universal job-killer, it is clearly altering the types of roles employers offer — and the skills they demand.

Global AI-related job postings have soared 69% compared with last year, according to PwC’s Global AI Job Barometer, which publishes data through June 2026. By contrast, overall global job listings rose only 9% over the same period. The same study notes that a handful of “superstar” firms — those most deeply embedded in AI — have boosted productivity by a staggering 163%.

German firms race to embed AI

At home, corporate enthusiasm for AI has reached near-totality. A KPMG survey of 480 German decision-makers reveals that 98% now view AI as relevant to their business, up from 56% just two years ago. Nearly every company has drafted its own AI strategy. For most, the investments appear to pay off: 71% of respondents say their expectations have been met or exceeded.

Even so, two-thirds of these firms plan to allocate less than 10% of their total budget to AI. The overriding goal, the report says, remains efficiency and productivity, not transformation for its own sake.

The shift is already pressing on early-career workers. AI-linked junior positions have grown 35% since 2019, while other entry-level roles have shrunk 10%. And AI jobs demand leadership skills seven times more often than conventional roles do.

Recruiting infrastructure lags behind ambition

Despite the data boom, many human-resources departments are still operating with fragmented systems. A Korn Ferry poll of 1,600 executives worldwide found that nearly all report financial harm caused by unconnected data sources. The practical consequence: 71% of managers say they make hiring decisions based on gut instinct rather than on hard evidence.

A generational shift is underway, albeit in small numbers. For the first time, 30 young professionals under the age of 30 have been formally recognised as emerging thought leaders in the industry, working at companies such as Deutsche Bank, Rheinmetall, Zeiss, and the Schwarz Group. They are pushing modern recruitment methods, even as many HR teams cling to older tools.

AI pay premium hits 62%

AI expertise is no longer a nice-to-have, experts argue. Companies increasingly demand technical skills like prompt engineering and process automation, but above all the ability to critically assess AI outputs. The wage premium for AI-related roles averages 62% over comparable non-AI jobs, according to multiple compensation surveys.

A parallel trend has taken hold in Switzerland, where 25,000 AI job openings were posted in 2025 — an all-time record. The focus there, too, is shifting from pure developers to skilled users who can apply the technology in practical business contexts.

More work, not less

Contrary to the popular “job-killer” narrative, early evidence points to work intensification. AI systems often increase output and task complexity rather than reducing workloads. A Bitkom survey adds a psychological twist: 29% of German workers believe their own bosses could be replaced by AI. Only 23% say the same about their own jobs.

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