As educational systems evolve in response to the digital transformation era, Artificial Intelligence (AI) has emerged as a crucial component in reshaping pedagogical methods and redefining the digital competencies required by both educators and learners. This paper investigates the evolving role of AI within educational contexts by initially establishing a conceptual foundation: defining key terms such as artificial intelligence, traditional versus modern classrooms, digital skills, and contemporary pedagogical frameworks (including constructivist, competency-based, and personalized learning models). The study examines the impact of AI-driven technologies—such as adaptive learning platforms, intelligent tutoring systems, and automated assessment tools—on instructional strategies and curriculum development. Particular emphasis is placed on the changing role of educators, the necessity for AI-related digital literacy, and the implications for equity, ethics, and student empowerment. To support this analysis, a structured survey was conducted among educators at primary, secondary, and tertiary levels to assess their perceptions, adoption rates, and readiness for AI integration in their teaching practices. The findings provide insights into the perceived benefits and challenges of AI-enhanced education, highlighting gaps in training and infrastructure, as well as potential areas for improved engagement and learning outcomes. By integrating theoretical frameworks with empirical data, this paper aims to offer a nuanced understanding of how AI is not only enhancing but actively transforming the educational landscape—particularly in the domains of pedagogy and digital skill development.

Keywords: AI, digital skills, pedagogy.