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How AI-Based Learning Risks Quietly Undermining Real Expertise

If anyone bets on exclusively AI-based education, they should brace for large-scale failure.

The risks aren’t obvious at first.

AI tends to take unnecessary detours and make systemic mistakes. When applied to learning, this leads to knowledge gaps, ingrained anti-patterns, and bad practices that go unnoticed by learners.

Over time, this slow erosion of true expertise feeds back into the system. There’s this saying among software engineers:

Garbage in, garbage out.

The AI starts learning from its own small mistakes. The mistakes keep amplifying with each generation. The knowledge base slowly degrades, and we won’t even notice.

Eventually, things start breaking in the real world. Power outages, crumbling bridges, and planes falling out of the sky might not even make the news. We’ll accept it as just part of life.

Because the real experts, the ones who could have prevented it, were never trained in the first place.

Just visited a small museum the other day. I saw a Calculus book from 1860. The cover said it was for high school (!). My kids learn quadratic equations in high school—what my generation learned in junior high. They won’t even hear about calculus unless they choose a math-heavy specialty at a top university.

That’s how civilizations fade. And when you add flawless confidence in flawed machines to the mix, the decline only accelerates.

P.S.
Stop the erosion. Learn from actual experts. Any book, course, or article published before 2022 will do the trick. 😉