Artificial Intelligence (AI) has become one of the most revolutionary in the modern education. The intelligent tutoring systems, adaptive learning systems, automated assessment systems and virtual assistants comprising AI-based educational tools have started to fundamentally transform the teaching-learning process. This research paper critically examines the complex effects of these AI-based tools on the pedagogical processes, learning experience, the role of the teacher, student learning, and educational planning in an institution. The analysis is a synthesis of current theoretical ideas, empirical and case studies to determine the role of AI in individualized learning, immediate feedback, and enhanced access to resources and also presents issues of ethical concerns, digital gaps, practitioner preparedness and data privacy. It investigates how introduction of AI may affect learner autonomy and self-regulated learning, and teacher professional identity and workload. The paper finds that even though AI-based learning resources could represent an essential change to make the educational process more efficient and effective, their maximum use should be controlled by careful planning of policies, teacher training, and ethical leadership to make education fair, inclusive, and quality-assured.