Abstract (Translated):
This discussion paper investigates which generative AI (GenAI) competencies are demanded in German job advertisements and how they align with AI competency frameworks. The study combines a synthesis of 18 competency frameworks with an AI-assisted qualitative content analysis of 258 GenAI-relevant job postings from the German Federal Employment Agency's job portal (collected on 14 March 2026) using a deductive-inductive approach. Results show a strongly technology-centric demand pattern: programming and cloud/MLOps dominate, while reflection, governance, and legal/compliance competencies remain weakly articulated despite their prominence in literature and regulatory relevance. Cluster analysis reveals three role profiles: technical engineering, application/process-oriented roles, and hybrid profiles combining technical depth with strategic integration. Inductive analysis identifies emerging competency fields not systematically covered by existing frameworks, including AI enablement and knowledge transfer, domain expertise, AI tool evaluation, human-centred design, and protocol-related integration skills. Implications are derived for competency-based recruiting and role-specific upskilling, emphasizing the need to explicitly anchor governance and compliance capabilities alongside technical implementation expertise.
