AI-SPECIFIC SKILLS FOR INTEGRATION INTO EXISTINGCOMPETENCY FRAMEWORKS

The rapid advancement of artificial intelligence (AI) is drivingprofound changes in workflows and business processes, demanding specificcompetencies from professionals and managers. This study aims to identify critical AIspecific competencies to expand existing competency models within corporate contexts.Through a comprehensive literature review and qualitative expert interviews, weidentified essential technical, social, ethical, and organizational competencies for effective AI implementation and integration.Findings emphasize that, beyond technical expertise, ethical responsibility,change management, and social and communication skills are crucial for successful AI adoption. Continuous competency development is highlighted as necessary to meet digital transformation demands. Leaders play a pivotal role in fostering acceptance of AI through clear vision, strategic communication, and empathetic management. The study concludes with actionable recommendations for embedding thesecompetencies into current models, offering a practical foundation for equipping professionals and managers in an AI-driven work environment. This approach is vital for sustaining innovation potential and securing competitive advantage.