Artificial intelligence is increasingly integrated into all areas of life, defining new model of human-machine partnership (HMP), which also affects education. In this context, AI becomes a third equal participant in an educational process, alongside an educator and a student. Contemporary education increasingly emphasizes personalization and adaptation to individual learners’ needs – a key requirement and quality indicator of the 21st century. The aim of the paper is to examine the theoretical foundations and practical ways for designing such an AI-enhanced educational model and to explore methods of collaboration between educators, students, and AI in constructing this model. We argue that HMP technologies offer significant opportunities for personalized learning. They support the development of learning environments tailored to individual needs by moving beyond one-size-fits-all models. Special attention is given to the processes of personalized and adaptive learning with AI based on an educator-centered approach.