AI employees are doubling learning outcomes for students and saving teachers nearly 6 hours per week on administrative tasks.
Each case study below is based on published research and verified outcomes — no projections or unverified claims.
Traditional active-learning classrooms struggled to differentiate instruction and accelerate individual mastery for undergraduate physics students.
An AI employee more than doubled learning gains compared to active-learning classrooms, with an effect size of 0.73–1.3 standard deviations (anything above 0.4 is educationally significant). Median post-test scores reached 4.5 with the AI tutor versus 3.5 in control groups.
Primary and secondary school teachers faced administrative overload, grading burden, and excessive lesson preparation time.
Teachers using AI employees weekly saved nearly 6 hours per week. 66% of 3,564 surveyed teachers reported using AI at school. Grading and correction time was cut by 30%.
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