Artificial Intelligence in Cambodian Education: a Warning Against Misplaced Hope
Cambodia’s education sector is placing growing institutional confidence in artificial intelligence as a response to longstanding gaps in teaching quality, infrastructure, and equity. This essay argues that confidence is misplaced. Across MoEYS programmes such as Live Teaching 2026, the Primary Learning Platform, and Sala Digital, and among development partners including UNESCO/STEPCam, the same structural logic repeats: AI and digital tools are deployed as compensatory mechanisms ahead of the conditions that would make them effective. The result is not improvement but the reproduction of existing inequalities at a higher level of technological complexity. Drawing on cognitive science, bilingual education research, and Cambodian educational scholarship, the essay identifies three structural harms: AI widens the access gap it claims to close, introduces cultural and economic bias through Western-centric training data, and erodes the foundational knowledge and critical capacity that genuine learning requires. The argument concludes that the priority must be teacher development, a Cambodian core knowledge curriculum, genuine bilingual education infrastructure, and honest investment in physical school conditions, not AI platforms that assume into existence the very conditions they cannot provide.


