Abstract
The article examines the pedagogical features of integrating artificial intelligence (AI) technologies into the process of teaching Kazakh at higher education institutions. Artificial intelligence is viewed as a tool for enhancing the effectiveness of language education through personalization, data-driven feedback, and increased learner engagement in the digital environment. The authors analyse the didactic potential of AI-based platforms for supporting differentiated instruction, formative assessment, and interactive communication between teacher and student. Special attention is given to national digital resources such as KazakhTTS, KazNERD, Speech Lab and KSC2, which enable speech synthesis, automatic recognition of speech and text, as well as named entity recognition in Kazakh. Their possible applications for developing listening, speaking, reading and writing skills are discussed. At the same time, the article highlights key challenges such as the limited volume of Kazakh-language content, uneven levels of digital competence among teachers, infrastructural constraints, and risks related to academic integrity and data security. Based on the research results, the authors conclude that effective use of artificial intelligence in teaching Kazakh requires aligning technological tools with pedagogical design, teacher training, and national language policy, as well as providing state support for Kazakh-language digital ecosystems and start-up projects.