Artificial intelligence (AI) has significantly transformed the educational field, providing tools and applications that personalize learning, improve efficiency, and facilitate academic management. The objective of this study is to analyze the impact of AI on the teaching-learning process, determining its effectiveness, benefits, and challenges in educational outcomes. Methodologically, a systematic review of differ-ent theses and scientific journals was carried out using PICO criteria and the PRISMA checklist, within a period of ten years. The findings indicate that AI per-sonalizes learning through algorithms and adaptive systems, offers instant feedback, and facilitates the creation of motivating educational environments. However, it also presents ethical and practical challenges, such as excessive dependence that can affect the development of critical skills and the capacity for autonomous learning. The integration of AI in education requires a balance to maximize its benefits with-out compromising the integral development of students. Educators must be trained to use these tools effectively, promoting moderate and complementary use along with traditional methods.