AI has genuinely shaken up how we teach. Not in some abstract, theoretical way — in the actual day-to-day of classrooms. Machine learning can now tailor lessons to individual students, adjusting what they see based on how they're doing. Real-time feedback, too. That used to be a pipe dream with thirty kids in a room and one teacher.

Then there's NLP. It powers tutoring systems that can actually talk to students — not just spit out canned responses, but engage in real back-and-forth. They gauge comprehension on the fly. They generate materials that fit the curriculum. It's a significant leap from where we were even five years ago, and honestly, it catches some educators off guard.

What gets overlooked? The ripple effects beyond the classroom walls. Schools are rethinking budgets. Planning committees are asking different questions. And there's a genuine shot at leveling the playing field — giving students in under-resourced areas access to tools that were once reserved for well-funded schools. That's the part that matters most.
