Some educational technology companies now use AI algorithms to curate and deliver learning materials—selecting texts, videos, and practice questions based on a student’s real-time performance data. While this personalisation is praised for improving engagement and efficiency, critics argue it risks narrowing intellectual exposure and reinforcing cognitive biases. To what extent do the advantages of algorithmically curated learning outweigh its disadvantages—*particularly when the system’s primary goal is academic mastery rather than holistic development*?