Emotional competence of managers in the digital age: the role of artificial intelligence in crisis management

The relevance of the study is determined by the growing need to improve the quality of management decisions in crisis conditions, when managers are required not only to have professional competence, but also high psychological resilience. In today's world, characterised by constant turbulence, digital transformations, global challenges and instability, traditional leadership models are losing their effectiveness. This highlights the need to find new approaches to developing emotionally resilient managers who are able to adapt to change and make informed decisions in conditions of stress and uncertainty. In the digital reality, artificial intelligence (AI) is seen as an effective tool for supporting managers, enabling them to predict risks, analyse emotional signals and develop individualised strategies for developing emotional competencies. The integration of AI into leadership training processes combines analytical accuracy with psychological approaches to leadership development, which is critically important in situations of uncertainty and turbulence. The purpose of the article is to scientifically substantiate and develop a conceptual model of AI integration for the development of emotionally stable leadership in crisis management, taking into account the challenges of digital transformation and the growing need for personalised management strategies. The research methodology includes content analysis of scientific sources, systemic-structural analysis of emotional competence concepts, and a comparative study of modern AI technologies used in leadership training and crisis situation modelling. The conclusions indicate that the integration of AI into the development of managerial competencies enhances the effectiveness of crisis management and contributes to the emotional stability of leaders. Among the main problems identified are algorithmic biases, the opacity of processes, and the need to establish ethical standards for working with emotional data. Further research should focus on testing the model in educational and corporate programmes, as well as developing hybrid platforms that combine AI with coaching and psychological support.