Artificial Intelligence in Career Guidance: Current Issues and Future Prospects

Abstract

The emergence of new technologies and the acceleration of automation processes are leading to the disappearance of many professions and the emergence of new ones. This situation requires future specialists to be prepared for changes and to choose professions that can adapt to modern demands. Therefore, the quality of career guidance services is crucial to help young people plan their educational trajectories correctly and acquire the skills needed in the labor market. This article analyzes the possibilities of using artificial intelligence in career guidance services. AI methods such as machine learning, neural networks, data and social media analysis, natural language processing, and chatbots are discussed for their potential to improve the accuracy and personalization of recommendations. Attention is drawn to issues such as access to technology, data confidentiality, and insufficient integration with the labor market. It has been determined that artificial intelligence holds great promise for predicting demand for professions, personalizing educational trajectories, and implementing adaptive career guidance systems. Despite the high potential of artificial intelligence to transform career guidance, the challenges faced are also reviewed. In the future, the research findings could be used to develop innovative tools and services in this field.