When Helpful is a Little Too Helpful: Is Your AI Thinking With You or For You?

Want to become a Sudoku grand master in minutes? You might give it a second thought after reading this blog. The express lane to learning is not always what it's cracked up to be.

I was playing Sudoku recently and noticed a new feature. When I selected a number, the game highlighted every place that number already appeared and shaded the rows and columns where it couldn't go.

If you don't play Sudoku, trust me: this was a revelation. At first, I loved it. I moved faster. I made zero mistakes. I don't want to brag, but I was performing like a Sudoku prodigy. Einstein would have struggled to keep up with me. (I'm not saying I'm smarter than Einstein. I'm just saying the data supported that conclusion.)

I rocketed through that puzzle. Total breeze! Oh, wait. That was... too easy. Not actually that much fun. Kind of like if you challenged me to a math competition and handed me a second-grade addition worksheet. I felt vaguely unsatisfied and a little let down, and then I realized something: The helpful feature had quietly removed part of the task.

Sudoku is supposed to be effortful. The scanning. The checking. The slow narrowing of possibilities. That is not extra work. That IS the work. And it turns out, it's also what makes the whole thing satisfying.

When the game did that part for me, it didn't just make things easier. It changed the nature of the task entirely. This is where this story gets relevant to you (don't worry, you have not just wasted precious minutes of your life reading an old lady's musings).

Cognitive Offloading (Going once... going twice... Sold! Your knowledge to the AI!)

Psychologists call this cognitive offloading - when we shift part of the mental work onto a tool. Sometimes it is genuinely helpful. But sometimes it means we are no longer doing the very thing that helps us grow and improve.

That's easy to notice in something you already know (for me, that is Sudoku; for you, it might be writing your fan fiction). It's much harder to notice when you're learning something new. If you've never written a research paper before, solved a statistics problem, or built a philosophical argument from scratch, you may not yet know what the thinking is supposed to feel like, which parts of the struggle actually matter, or when a tool is supporting your learning versus quietly replacing it.

That's part of what makes AI tricky. It can feel like help. And sometimes it genuinely is helping you in a useful way that supplements. But sometimes it takes over the thinking before you even realize what you needed to learn in the first place.

Question the Process (AI, are you stealing from me again? I see you! Put those neurons back.)

A useful question to carry with you: Is this tool helping me think, or is it doing the thinking for me?

The difference is subtle. But it matters more than it seems. Sometimes the most important learning happens in exactly the parts you are most tempted to hand off.

Article also posted on Substack and shared on FAU Thrive’s Thrive Thursday Blog.