Artificial Intelligence (AI) has emerged as a transformative force in contemporary education, redefining how knowledge is constructed, shared, and applied within learning environments. Among its most significant contributions is the emergence of AI-augmented collaborative learning, a pedagogical model that integrates intelligent technologies with social learning processes to enhance collective cognition, creativity, and problem-solving capacity. This study explores how AI-driven systems are reshaping classroom dynamics by supporting adaptive collaboration, personalized group formation, real-time feedback, and data-informed instructional decision-making. Unlike traditional collaborative learning models that rely on static grouping and generalized instructional strategies, AI-augmented environments dynamically respond to learners’ cognitive profiles, engagement patterns, and interaction behaviors.