Students who use AI generally score worse at school
Quick take
Data from the OECD’s latest global PISA report finds that students who use AI to assist in studying generally score worse than peers who do not. This challenges common assumptions about AI as a straightforward productivity booster for learners. However, the negative trend is not uniform. Students who learn to critically evaluate AI outputs and integrate the tool thoughtfully show modest improvements in school performance.
Why it matters
For educators and edtech builders, the headline that AI use correlates with lower scores pressures assumptions about AI as an automatic academic advantage. It exposes gaps in how AI tools are integrated into learning and how students are taught to engage with them. Naively relying on AI to complete homework or answer questions risks encouraging shallow understanding rather than deeper learning.
The slight boost seen among students who critically assess AI tools signals an opportunity to shift instructional approaches. Teaching learners to scrutinize and cross-check AI suggestions can strengthen learning outcomes and make AI a more effective study aid. This differentiates casual use from informed, strategic use and changes the incentives for education providers to build AI literacy into curricula.
For parents, schools, and edtech vendors, the report tightens the case for oversight and guidance around AI study aids rather than unchecked adoption. Simply handing students AI doesn’t guarantee better results—it can lower trust in AI’s reliability if students are unprepared to gauge when it helps or misleads. This also raises risks for businesses promoting AI-powered study apps without embedding critical thinking skills.
The practical takeaway is that AI’s value in education depends less on the tool itself and more on how well students are trained to use it. AI literacy will become a key factor differentiating successful learners and edtech products. Investors and operators focusing on AI education must factor in training and assessment mechanisms that force students to engage critically, or risk perpetuating poor outcomes.
AI Quick Briefs Editorial Desk