This study applies a qualitative case study methodology to explore how artificial intelligence (AI) training influences workforce competency at a Hungarian IT services company. Through structured interviews with AI trainers and managers, the research identifies specific barriers to effective training, such as rapid technological change, employee resistance, and outdated learning content. The findings demonstrate that AI training enhances adaptability, fosters essential digital skills, and supports organizational growth. Key success factors include the use of tailored learning paths, real-time feedback systems, and foundational AI education. These components not only address misconceptions about AI but also prepare employees to thrive in digitally transformed environments. The study contributes practical insights to developing training programs that support long-term workforce resilience.

This study explores how AI training shapes workforce competency in a Hungarian IT services company using a qualitative case study. Structured interviews with trainers and managers revealed key barriers such as rapid technological change, employee resistance, and outdated content. The findings show that AI training improves adaptability and skills while supporting long-term organizational growth.