Use of AI in Education: Benefits, Risks, and the Case for a 70/30 Integration Model

Artificial intelligence is rapidly permeating education, inspiring enthusiasm for its benefits and caution about its risks. Synthesizing 26 recent studies, we review AI’s adoption across K–12 and higher education, including early AI-literacy initiatives and post-ChatGPT uptake. Evidence highlights key gains—personalized learning, stronger engagement, improved accessibility, and operational efficiency—while also surfacing ethical and pedagogical challenges that demand balanced integration. We propose a 70/30 model in which roughly 70% of learning remains human-led and 30% is AI-augmented, preserving teacher centrality while leveraging automation where it adds value. This article presents the landscape and positive impacts, addresses risks, mitigations, and implementation of the 70/30 approach. Our literature-based analysis underscores the need for strategic, ethical, and human-centered AI use in education.