DOI: 10.11118/978-80-7701-082-5-0166

Developing Organizational Competence and Trust for AI Adoption

Michal Líška ORCID...¹, Zdeňka Konečná ORCID...¹

¹ Department of Management, Faculty of Business and Management, Brno University of Technology, Kolejní 2906/4, 612 00 Brno, Czech Republic

Artificial intelligence adoption is becoming a key challenge for organizations. The main barrier is not technology itself but the ability of people to learn, trust, and use AI effectively. This paper explores how short learning activities, called micro-interventions, can help employees and managers build the competencies needed for responsible and confident use of AI. The study is based on a structured review of relevant academic papers. The analysis identifies three competence levels: core understanding, applied practice, and reflective use. These three levels form a dynamic learning cycle. Five types of micro-interventions are described as examples of how organizations can support these stages in practice. The findings show that trust, leadership, and reflection are the most important drivers of sustainable adoption. The paper concludes that small and well-designed learning actions can create lasting changes in how organizations learn, collaborate, and innovate with AI.

Klíčová slova: AI Adoption, Competencies, Micro Interventions, Trust, Organizational Learning

stránky: 166-170, online: 2026