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Nihal Kurth's avatar

Great insights! 🙌🏻 I got excited for a moment when I read neurotechnology section… surely still in the very early days. Would be curious to read a piece dedicated for it. Thanks for putting it together.

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Petar Dimov's avatar

Completely agree. Neurotechnology is still early-stage, but the trajectory is accelerating fast enough that it deserves its own deep dive.Appreciate you reading and sharing your thoughts.

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Nitin Sharma's avatar

Petar, the irony is nobody fears AI in education for the right reason.

It’s not that machines will replace teachers, it’s that education finally becomes measurable.

When learning outcomes become data, the excuses and inefficiencies vanish. That’s the disruption nobody is emotionally ready for.

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Petar Dimov's avatar

You’re right! The real disruption isn’t automation, but accountability. Once learning becomes measurable at scale, transparency forces a shift in how education is delivered, assessed, and valued. It’s a transformation many institutions aren’t prepared for, but an important one. Thanks for the sharp insight.

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Sharyph's avatar

The mention of neurotechnology is wild...definitely feels like the stuff of science fiction, but if it helps with accessibility, that's a monumental development.

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Petar Dimov's avatar

Neurotechnology still feels like sci-fi, but its potential for accessibility is enormous. If done responsibly, it could open doors for millions of learners who’ve been left out until now.

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Melanie Goodman's avatar

Which of these trends do you think will be the hardest to scale and which one will we wonder how we ever lived without?

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Petar Dimov's avatar

Neurotech will likely be the toughest to scale: high cost, regulation, and ethics.

On the opposite side, adaptive AI learning feels like the one we’ll look back on and wonder how education ever worked without it.

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Luis Llorens's avatar

Great report about edtech!

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Petar Dimov's avatar

Thank you Luis. Appreciate it!

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