Generative AI Competencies – Framework and Maturity Model for Users in Their Work Settings

Abstract

The increasing use of generative artificial intelligence (GenAI) is changing work processes in companies and requires new competencies from employees. While existing competency models primarily focus on general AI, they do not sufficiently account for the unique features of generative systems. The aim of this article is therefore to develop a specific AI competency framework and maturity model for the successful and reflective use of GenAI in a corporate context. Based on a design science approach, relevant skills were tested for their transferability, supplemented with GenAI-specific competencies, and operationalized along defined maturity levels. A consultation with experts was conducted to evaluate the model. The result encompasses three competency areas – digital/technological, social, and cognitive competencies – with a total of 18 individual competencies, mapped to three maturity levels of GenAI use in companies. The model supports researchers and practitioners alike in systematically assessing competency levels within companies, identifying potential areas for improvement, and developing targeted strategies for competency development.

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