German ifo Institute Releases AI Early Indicator: Entry-Level Job Decline Associated with AI, Youth Employment Down 14% in High-Exposure Roles

The ifo Institute in Munich published a new AI early indicator (KI-Frühindikator) on November 9, 2026, designed to measure the impact of widespread AI adoption on the labor market. The study compared employment and new hires across 140 occupations, relating them to the substitutability of human work by AI.

According to the data, full-time employment among 20- to 24-year-olds in the most AI-exposed occupations has fallen by 14% since 2022, dropping from approximately 279,000 to 239,000. These high-exposure roles include data entry and text processing, software developers, accountants, database and network technicians, as well as authors and journalists. "We do not yet see broad job cuts due to AI," said Clemens Fuest, President of the ifo Institute. "But those starting their careers feel the change first."

However, the impact of AI on the labor market is not uniformly negative. The study notes that while entry-level positions have decreased, total employment in AI-exposed occupations actually grew by 1.8% since 2022, whereas employment in non-exposed occupations declined by 6.4%. This suggests that AI is altering the nature of work through 'augmentation' rather than just 'automation,' enhancing the productivity of existing employees. Co-author Oliver Falck views the loss of jobs for beginners as an early warning sign for the labor market.

It is important to note that researchers emphasize this indicator does not provide a monocausal explanation. Demographic changes and longer training periods may also contribute to the observed employment trends. Additionally, even executives face risks, as AI can handle significant portions of management tasks; conversely, occupations relying primarily on manual labor, such as construction workers, carpenters, cleaners, and farmers, are least affected by AI.