Artificial Intelligence (AI) is increasingly transforming distance education worldwide by enabling personalized learning experiences and enhancing teaching efficiency. This paper explores the current applications of AI in distance learning platforms, focusing on key functionalities such as adaptive learning systems, automated assessment tools, personalized content delivery, and facilitation of interaction between instructors and learners . The study analyzes how AI-driven solutions contribute to improving student motivation and engagement while reducing the workload of educators.

However, in countries like Tajikistan, the use of AI in education, especially in distance learning, remains extremely limited. Distance education itself is a relatively new concept in Tajikistan, and the integration of advanced AI technologies is often hindered by high costs, lack of infrastructure, and limited expertise. The paper discusses the absence of AI-based educational platforms in the country and highlights the challenges faced in adopting such innovations.

Despite these limitations, there is a growing need to explore affordable and scalable AI solutions suitable for the context of Tajikistan. The study considers potential low-cost AI applications, such as chatbot tutors, automated grading systems, and content recommendation engines, which could be adapted for use in resource-constrained environments .

Furthermore, the paper evaluates the benefits that AI could bring to distance education in Tajikistan, including personalized learning pathways, increased accessibility for remote students, and enhanced support for educators. Ethical considerations, data privacy, and the importance of ensuring equitable access to AI-driven educational tools are also addressed.

By combining a global overview of AI in distance education with an in depth look at the current situation in Tajikistan, this work aims to provide researchers, policymakers, and educational technologists with insights into both the opportunities and challenges of implementing AI in emerging educational contexts. Recommendations for future development and implementation strategies tailored to low-resource settings conclude the study.

Keywords: Artificial Intelligence, distance learning, adaptive learning, educational technology, online education.