In 1989, the year the Iron Curtain began to crack, I was a math teacher in Poland — unqualified by official standards, teaching in a rural school because the system was desperate and I needed to defer the army draft.
The students I taught had almost nothing. No computers. No calculators. No access to the wider world. Textbooks that were state-approved propaganda with mathematics reluctantly included at the back. And yet — and here is the part that still stops me when I think about it — those students could think. Rigorously. Logically. Pattern by pattern.
The communist system had made one fatal miscalculation: it funded rigorous mathematics and physics education for everyone. Logic. Analytical reasoning. Proofs. The regime wanted engineers who could build its economy. What it got instead was a generation of people who could see through its lies. The wall came down partly because the regime taught people how to think.
What 2026 AI Is Actually Doing
Fast forward to today. I am now on the other side of the desk — retired, watching from the outside as AI reshapes the classroom I spent thirty-one years inside.
The numbers are striking. A 2026 pilot across 200 schools found that students using Khanmigo for just 30 minutes weekly showed learning gains equivalent to two to three additional weeks of traditional instruction. A National Bureau of Economic Research study put it at 34% greater learning gains compared to conventional tutoring. Adaptive systems overall are showing 42% improvement in outcomes. And 81% of high school students are already using AI tools in their education.
But here is what the statistics miss — and what my 1989 classroom taught me to see.
Abundance of tools does not automatically produce resilience of mind. In communist Poland, scarcity forced us to develop the one resource no system could ration: the ability to think our way through a problem when nothing else was available. That is the skill AI needs to amplify — not replace.
The Bridge Between Then and Now
When I moved to Canada with $300 and two suitcases, I had no credentials that transferred, no network, no language fluency beyond survival phrases. What I had was a mind trained to find patterns, hold a problem, and refuse to quit before the logic resolved.
That is exactly the skill that makes AI useful rather than dangerous for learners. Students who know how to think use AI as a lever. Students who do not know how to think use it as a crutch — and the crutch breaks the moment the exam room goes quiet and the screen goes dark.
The teacher's job in 2026 is not to fight AI. It is to teach students to be the kind of thinkers who can use AI — and survive without it.
Top 7 Ways to Use AI Without Losing Your Mind
- Use AI to check your reasoning, not to produce it. Ask it to poke holes in your argument before you accept your own conclusion.
- Demand explanations, not just answers. Any AI that gives you an answer without walking you through the logic is training you to be dependent.
- Treat AI like a patient tutor who never gets tired of the same question asked seven different ways — use that relentlessly.
- Never let AI write your first draft. Write the draft yourself, then use AI to stress-test it. Your ideas first. AI's critique second.
- Set a 30-minute weekly minimum of unassisted thinking on hard problems. No AI, no search engine. Just you and the blank page. This is where resilience lives.
- When AI gives you a wrong answer — and it will — treat it as a lesson in verification. The habit of checking AI output is the same habit that makes great scientists, lawyers, and engineers.
- Use AI to find what you do not know you do not know. Ask it what questions you should be asking. That is the highest leverage move available to any learner in 2026.
What Scarcity Taught Me That Abundance Cannot
In Poland in the 1980s, we learned because we had no other option. The scarcity of resources concentrated the mind.
In 2026, the danger is the opposite. The abundance of AI tools can disperse the mind — creating the illusion of learning while the actual capacity to think quietly atrophies.
The students who will thrive are the ones who treat AI like I treated the limited resources of a rural Polish classroom: as a constraint that forces creativity, not a convenience that eliminates the need for it.
Resilience is not built in abundance. It is built in the gap between what you want and what you have — and what you choose to do in that gap.
The Iron Curtain taught me that. Thirty-one years in a Canadian classroom confirmed it. And watching AI arrive in education tells me the lesson is needed now more than ever.
Bogdan Marzewski, Author of 'From Communist Paradise to Freedom'