The development of artificial intelligence (AI) has introduced various changes across society, including education. This research looks into the potential influence of AI on adaptive learning, a personalized approach to education that adapts learning experiences to the needs and abilities of students. As a methodological approach, adaptive learning uses computer algorithms to create individual learning trajectories based on their current knowledge, skills, and motivations. By applying AI, adaptive learning platforms can analyze the data on students’ knowledge and provide individualized feedback and targeted resources to address students’ learning problems more effectively. The research also discusses the evolution of adaptive testing and adaptive learning methodologies, drawing on the works of pioneers like Gordon Pask. These approaches emphasize the importance of individualized instruction and continuous assessment to enhance the efficiency and effectiveness of learning processes. The research provides valuable insights into integrating AI and adaptive learning, revealing the evolution of educational methodologies and speculating on the future of personalized learning facilitated by AI.