The increasing adoption of generative artificial intelligence is leaving tangible marks on the labor market, yet it does not impact all generations equally. An empirical study by the Munich-based Ifo Institute, led by Clemens Fuest, Oliver Falck, and Yuchen Guo, shows that young professionals entering the workforce face the greatest disadvantages. While experienced specialists remain in high demand, enterprises are systematically trimming entry-level openings across digitally driven professional domains.
The empirical figures presented in the report on November 9, 2026, underline the scale of this structural change. In occupational groups with high exposure to AI, full-time employment among 20- to 24-year-olds dropped by 14 percent since mid-2022. In absolute terms, the number of young employees in these fields shrank from roughly 279,000 to 239,000, representing a net loss of approximately 40,000 entry-level roles. Such a sharp, localized contraction within a specific age cohort is historically exceptional.
At the same time, the findings contradict the widespread assumption of widespread macro-level layoffs across the board. Across all age groups combined, employment within the same AI-exposed occupations actually increased by 1.8 percent over the identical period. Employers are not dismissing seasoned staff. Instead, companies equip senior talent with AI tools to amplify overall productivity, shifting the friction entirely to the initial transition from education to employment.
The slump is concentrated in fields where daily operations traditionally relied on entry-level preparatory work. These areas include text and data processing, basic bookkeeping, editorial assistance, and junior software engineering. Large language models and specialized software agents now complete routine programming, document synthesis, and preliminary research much faster and at a fraction of the cost. Consequently, hiring managers increasingly choose not to recruit young workers for repetitive support duties.
This corporate calculus creates severe risks for long-term talent development across modern industries. When traditional entry-level positions vanish, junior staff lose the foundational environment needed to accumulate practical expertise for future senior responsibilities. The Ifo Institute cautions against an emerging qualification gap as the bottom rungs of the career ladder are automated. Organizations face the urgent task of restructuring training programs and onboarding workflows so future talent can develop expertise despite pervasive automation.