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Gutachten 29. September 2026 Jan Büchel / Jan Engler / Armin Mertens AI and soft skills: Evidence from EU job postings

The influence of AI on the EU labour market has risen substantially in recent years. In 2025, 1.7% of job postings in the EU required in-depth AI knowledge – starting from 0.7% in 2022.

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Gutachten 29. September 2026 Jan Büchel / Jan Engler / Armin Mertens

AI and soft skills: Evidence from EU job postings

Fact sheet as part of the AI@Work project for the European Employers' Institute (EEI)

Jan Büchel / Jan Engler / Armin Mertens Institut der deutschen Wirtschaft (IW) Institut der deutschen Wirtschaft (IW)

The influence of AI on the EU labour market has risen substantially in recent years. In 2025, 1.7% of job postings in the EU required in-depth AI knowledge – starting from 0.7% in 2022.

In-depth AI knowledge goes beyond the general AI knowledge required to use AI applications effectively, instead enabling employees to develop or adapt AI-based solutions themselves, for example. The demand for in-depth AI skills is measured based on explicit mentions of AI-related terms in online job postings – ranging from core AI concepts such as “machine learning” to the names of specific AI tools, frameworks or libraries identified via a multilingual, rule-based classification model applied across all EU countries (Büchel et al., 2026a). The growing share of job postings with in-depth AI knowledge indicates that AI-related requirements have become more prominent in labour market demand. From the perspective of job seekers and the education and vocational training system, it is important to analyse the specific AI-related skill demand. This includes not only technical skills, for developing AI applications, for example, but also skills that complement AI use at work.

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Gutachten 29. September 2026 Jan Büchel / Jan Engler / Armin Mertens

AI and soft skills: Evidence from EU job postings

Fact sheet as part of the AI@Work project for the European Employers' Institute (EEI)

Jan Büchel / Jan Engler / Armin Mertens Institut der deutschen Wirtschaft (IW) Institut der deutschen Wirtschaft (IW)

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Measuring AI-exposure in online job advertisements
Gutachten 22. September 2026 Jan Büchel / Jan Felix Engler / Armin Mertens

In Brief #9: Measuring AI-exposure in online job advertisements

This methodological note details the identification of AI-related online job vacancies across the EU (for the full empirical analysis see fact sheet #14: AI skill demand in the EU).

Jan Büchel / Jan Felix Engler / Armin Mertens IW

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IW-Kurzbericht Nr. 63 19. September 2026 Barbara Engels / Andrea Hammermann

Schatten-KI: Beschäftigte sind schneller als ihre Betriebe

Knapp drei von zehn Beschäftigten, die Künstliche Intelligenz (KI) beruflich nutzen, greifen dabei auf Tools zurück, die ihr Arbeitgeber nicht bereitgestellt hat. Diese „Schatten-KI“ ist ein Nachfragesignal.

Barbara Engels / Andrea Hammermann IW

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