AI tools are everywhere now.
At school, at university, and at work.
Tools like ChatGPT, Gemini or Claude are used daily by millions of people.
The problem is not using AI.
The problem is how many people use it.
Most of the time, it looks like this:
no clear prompt
or just “do it for me”
The result is predictable:
no real learning
bad prompts lead to bad answers
facts are rarely checked
AI slowly replaces thinking instead of supporting it.
I am not excluding myself here.
Everyone has done it at least once.
But if this becomes a habit, learning stops.
AI works, while we scroll through social media.
Another issue is accuracy.
I once tested a locally running AI model on a rented VPS.
Out of curiosity, I asked a simple question:
Who is the latest president of the United States?
The answer was George W. Bush.
Funny, but also dangerous.
If I had asked that same model to create a presentation, a blog, or a newsletter with “current data”, the result would look confident but be completely wrong.
And this happens more often than many think.
A study published by EY shows that a large number of users trust AI outputs without verifying them.
Many people rarely check facts, edit results, or question the answers at all.
At the same time, concerns about misinformation, deepfakes, and loss of control are rising.
That contradiction is the core problem.
AI is a powerful tool.
Used correctly, it can accelerate learning and productivity.
Used blindly, it becomes a shortcut that costs knowledge.
The rule is simple:
AI should support your thinking, not replace it.