When Good Writing Becomes Suspicious

My daughter recently wrote a paper for her english class. She did all the thinking, developed her own ideas, and wrote it in her words. I helped her along the way, providing guidance and talking through her ideas and helping her strengthen her writing by reading it outloud to me.

She was proud of what she'd written.

Then her teacher called her in for an after-school conference because she suspected the paper had been written by AI.

It hadn't. 

My daughter was upset, and frankly, she was offended. She'd done all the work herself and her teacher didn’t believe her. I ended up confirming that with her teacher directly.

I understand the position teachers are in. They have an incredibly difficult job right now because students have access to tools that can produce an entire essay in seconds, and educators are expected to distinguish original work from something generated by a machine.

I don't envy them in that responsibility.

But the experience with my daughter left me thinking about something much bigger than one school assignment.

What happens when a student's good work becomes a reason to question whether they did it?

And perhaps more importantly, what are we teaching children about AI while all of this is happening?

Protection isn't the same as preparation

I live in a rural community, and my children's schools aren't exactly embracing AI education at the fast pace that some others may be.

From what my daughter has experienced, the message is largely about what students cannot do. AI isn't permitted for schoolwork, even as a way to help validate an answer or explore a question.

I understand the desire to protect independent thinking and I share it.

I want my children to struggle through difficult problems, learn from mistakes, develop their own opinions, and build confidence in their ability to figure things out themselves.

But I also want them to understand the technology that's already changing the world around them and I want the to be prepared for that world.

And I'm increasingly concerned that we're treating those two things as competing priorities when they should be complementary.

Some students are growing up with sophisticated AI tools integrated into their education. Others are learning to use those same tools independently, without much guidance. And some are receiving very little exposure beyond warnings about what they aren't allowed to do.

This raises an uncomfortable question about the differences in preparation for an AI-enable world that society is creating.

Recent research suggests those differences are real. A 2026 study of AI adoption across K–12 in US schools found substantial variation in how schools were integrating AI, including differences in teacher training, student guidance, and institutional support.

The research doesn't tell us which students will ultimately be better prepared. But it does suggest that children aren't receiving the same opportunities to learn about a technology that will increasingly influence their lives.

And access to AI alone is also not the answer.

Research on AI-supported learning is beginning to distinguish between using AI to deepen thinking and using it to avoid thinking. Structured approaches that require students to question, explain, and evaluate can support learning. Unstructured reliance on AI can encourage students to hand over the very reasoning they need to develop.

That's the distinction I wish we were spending more time teaching.

These children are our future colleagues

You all know that I spend a significant part of my professional life thinking about how people and organizations adapt to AI.

And one of the challenges I see in front of us is that adults are still learning how to evaluate AI-generated recommendations, recognize questionable assumptions, and decide when to trust their own judgment.

We are asking experienced professionals to develop new habits of thinking while the technology itself continues to change.

Now consider the generation coming behind us.

Some young people may enter the workforce having learned how to challenge AI, use it to explore ideas, and recognize when its answers don't hold up.

Others may arrive believing AI is something they shouldn't use, or something they should use quietly because they've learned to associate it with cheating.

Still others may have become so accustomed to receiving immediate answers that they've had fewer opportunities to develop confidence in their own reasoning.

Those aren't inevitable outcomes but they're possibilities we should take seriously.

Because we now know that the ability to work with AI isn't simply a technical skill.

It requires judgment and curiosity. The willingness to question an answer that sounds convincing. And enough confidence in your own thinking to recognize when something doesn't make sense.

Those capabilities don't suddenly appear when someone gets their first job or even their second.

They're developed through experience, practice, feedback, and opportunities to think independently.

Which brings me back to my daughter.

She did the work. She used her own judgment. She accepted guidance, revised her writing, and produced something she was proud of.

That's exactly the kind of learning I want her to experience.

I also want her to have opportunities to learn how AI works, where it can be useful, where it can mislead her, and why her own thinking matters even more when a tool can produce an answer instantly.

I don't believe we have to choose between those things.

And I don't think the responsibility belongs to schools alone.

Parents, educators, and leaders all have a role in helping the next generation develop the confidence to think for themselves while learning to navigate a world where AI will be everywhere.

The question isn't simply whether we should allow children to use AI.

It's whether we're preparing them to make good decisions about it.

Your Anchor for This Week

The next time someone younger or less experienced asks you for help, whether it's your child, a colleague, or someone you're mentoring, resist the urge to provide the answer immediately.

Ask how they're thinking about the problem. What have they considered? What assumptions are they making? What might they be missing?

Give them room to work through their reasoning.

Then, if it's appropriate, explore how AI could help them test, challenge, or expand their thinking without replacing it.

Because sometimes the most valuable thing we can give someone isn't a better answer.

It's the confidence to develop their own.

🩵 What I'm Loving

One book that caught my attention while exploring critical thinking is The Scout Mindset by Julia Galef. 

Galef explores the difference between defending what we already believe and approaching the world with curiosity, looking for what's actually true.

I love that distinction, particularly as AI makes it easier than ever to find an answer that sounds convincing.

Whether we're helping our kids learn, mentoring a colleague, or making decisions ourselves, the goal shouldn't be to have all the answers. It should be to develop the confidence and curiosity to question them. Explore the book

Remember, you are always the author of what comes next. 

Warmly,

Heather

Anchored in Possibility™

Resources used and for additional thinking: 

• Campos and Singleton, AI Diffusion Gaps: Unequal Integration of AI Across K–12 Schools (NBER, 2026).

• Towards a Framework for Understanding and Assessing Critical Thinking in Generative AI-Enhanced Learning Environments (2026).

• OECD and European Commission, Empowering Learners for the Age of AI (2026).