The integration of artificial intelligence (AI) in teaching processes offers both significant opportunities and notable challenges. AI tools, including intelligent tutoring systems, adaptive learning platforms, and automated assessment technologies, can enhance personalized instruction, student engagement, and educational outcomes. They provide data-driven insights that enable teachers to monitor progress, identify learning gaps, and implement timely interventions. However, AI implementation also presents limitations, such as algorithmic bias, data privacy concerns, limited infrastructure, and the need for teacher training. This study examines the potential advantages and constraints of AI in teaching, highlighting strategies for responsible, effective, and inclusive integration into educational settings.