Artificial intelligence in corporate english language training: enhancement of staff competences and strategic HR management

Relevance of the research topic. Contemporary organisations operate in a digital transformation context, which imposes new requirements on personnel’s professional and communicative competencies. The use of artificial intelligence (AI) in corporate English training emerges as a crucial factor in human resources development.Formulation of the problem. Traditional approaches to corporate training fail to provide the flexibility and personalisation necessary for effectiveness, which deepens the gap between personnel’s language skills and global communication requirements.Research aims and objectives. The purpose of the study is to identify the theoretical foundations, technological solutions, and strategic management practices through which artificial intelligence enhances employees’ linguistic competencies and strengthens human resource management. Objective: to outline the theoretical and methodological foundations of AI usage; to analyse technological tools; to study Human Resources management approaches and define conditions for effective AI integration into corporate training.The research methodology is based on systemic, competency, analytical, and activity approaches. The study employed methods of comparative analysis, synthesis, generalisation, and educational process modelling, and content analysis of contemporary sources and cases of AI–powered corporate training.Research results. The study demonstrates that AI transforms English corporate training by providing personalisation, adaptability, and real–time results monitoring. Language models, generative platforms, chatbots, automated assessment, and speech interfaces increase the level of communicative competencies and foster strategic employee development. The study identifies ethical risks related to algorithm transparency and data confidentiality.Field of application of the results. The results can be applied to HR units and corporate education centres for the development of AI–based learning strategies, as well as to systems of professional training for specialists in Human Resources management and digital education.Conclusions. AI is a system–forming factor in corporate English training, enhancing the effectiveness of HR processes, employee motivation, and the quality of education. The effectiveness of such systems depends on ethical data management, algorithm transparency and retention of human control. Future studies should focus on evaluating the long–term impact of AI on competency development and corporate culture.