
AI tutoring platforms have proliferated but failed to solve education's central challenge: student motivation. Khan Academy's Khanmigo reached nearly 1 million students in 2024, yet actual usage stagnated, and a Stanford review found limited educational benefits. The core problem is that AI cannot replicate the personal relationships and peer dynamics that drive students to engage with difficult learning—suggesting that improving teacher training, not scaling chatbots, holds greater promise.
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Khan Academy's AI tutor Khanmigo reached nearly 1 million students in 2024, up from 40,000 in 2023, but Khan admitted the tool was "a non-event" for many kids because actual usage has stagnated. A Stanford review of AI in K–12 schools found that educational benefits for students generally were limited.
Why it matters
The gap between access and engagement reveals a fundamental flaw in ed-tech: AI cannot replicate what human teachers do best—motivate students through personal connection and peer influence. Only about one in three U.S. students is highly engaged in school, and even among the motivated few, only about 5 percent of students use education technology as intended. Rather than democratizing tutoring, these tools risk widening inequality by only benefiting students who are already motivated.
What to watch
Education experts now argue that the real leverage lies in investing in human teachers, not scaling digital tools. Research shows that effective teachers inspire students by pressing them to think rigorously, persist through difficulty, and learn together with peers—capabilities that AI has not yet demonstrated.
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