AI Is Flooding EdTech. But Are Our Platforms Actually Ready For It?
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AI Is Flooding EdTech. But Are Our Platforms Actually Ready For It?
"Every major EdTech conference right now has at least three sessions with "AI-powered" somewhere in the title. I get it. The energy is real, and to be fair, the numbers back it up. But after 13+ years in software and app development, I have learned that the most interesting question is rarely about the technology itself. It's about whether the ground underneath it is solid enough to hold. And in EdTech right now, the ground is shakier than most presentations would have you believe."
"Let's be clear: the growth in AI adoption across education is not a manufactured trend. A 2025 study by the Higher Education Policy Institute found that 92% of students now use AI tools in their learning, up from 66% the year before. That is not incremental change. That is an entire learner population shifting behavior in twelve months."
"According to RAND Corporation research published in 2025, while over half of students and teachers now report using AI for school, professional development for teachers, student training on responsible AI use, and school-level policies are all significantly lagging that adoption rate [2]. The part that really stays with me is this: 76% of institutional leaders believe their users have received adequate AI training, but 45% of educators and 52% of students report receiving 0 training."
AI use in education is expanding quickly, with large majorities of students adopting AI tools within a year. Market growth in EdTech is substantial, and AI is accelerating core EdTech activity. Despite this momentum, institutional readiness is uneven. Research indicates that while many students and teachers report using AI, professional development, student training on responsible AI use, and school-level policies fall behind adoption rates. A large share of institutional leaders believe users have adequate AI training, but many educators and students report receiving no training. This mismatch points to a systemic blind spot that can undermine effective and responsible AI integration.
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