The article examines the influence of artificial intelligence on youth employment strategies through post-anthropocentrism, digital ontology, task-based labour analysis and career adaptability theory.

The study does not present survey or experimental findings; rather, it offers a theoretical synthesis of international scholarship and official analytical reports on the changing conditions of labour market entry. The material was selected from peer-reviewed articles, monographs, OECD, ILO and World Economic Forum reports, as well as official labour-market statistics of Kazakhstan published between 1994 and 2025.

The synthesis suggests that AI affects young jobseekers through three interrelated mechanisms: it reshapes the task structure of entry-level work; it strengthens algorithmic visibility through CVs, online profiles, portfolios and assessment scores; and it shifts youth strategies from diploma-centred job seeking toward lifelong learning, AI literacy, portfolio-based self-presentation and data ethics. In Kazakhstan, relatively stable unemployment indicators do not remove the risks linked to digital mediation, regional disparities and unequal access to quality first jobs. The article argues that AI should be understood neither as an automatic replacement threat nor as a universally emancipatory tool, but as a socio-technical environment whose effects depend on institutional design and policy choices.