The Skill I Most Want My Daughter to Learn Has Nothing to Do With AI

One of my clients told me something yesterday that made me smile. She had been using AI to help her think through a question, but instead of simply accepting the response, she asked another one: Where did you get this information? What sources are you using?

That, to me, is where things start to get interesting.

I talk a lot with my daughter about AI, but there is one sentence I find myself repeating to her that I also use with my clients: The quality of the answer is in direct proportion to the quality of your question. I’m hoping eventually she’ll hear it in her head even when I’m not there to say it.

Because asking, “Can I do this?” is very different from explaining who you are, what you’re trying to accomplish, what you’ve already tried, what other factors might matter, and then asking, “Knowing all of this, what should I be considering?”

The answer changes when the context changes. But lately I’ve been thinking there is another layer to this, because even a beautifully constructed question shouldn’t necessarily end the conversation.

AI can give us an answer in seconds. It can sound informed, confident and remarkably convincing. What it doesn’t always do is make us aware of the information it didn’t have, the assumptions it made, or the perspective it may have missed.

That’s why I loved what my client did. She didn’t just ask for an answer. She asked to see what was underneath the answer, where the information came from, what sources were being used, and whether there might be something else worth considering.

Maybe that seems like a small distinction, but I have a feeling it’s going to become increasingly important.

Of course, this isn’t really an AI problem. We’ve always had to decide whom and what to believe. Before AI, there was google, teachers, doctors, books, experts, podcasts, parents, friends and, more recently, social media. Sometimes those sources were right. Sometimes they were partly right. Sometimes important context was missing.

What feels different now is the speed and certainty with which an answer can arrive. There is almost no space anymore between wondering something and receiving a response that appears to resolve it.

I’ve been wondering what happens if we lose that space altogether. Do we still stop to ask whether the question itself was good enough? Do we consider what context might be missing? Do we check where the information came from? Do we seek another perspective when the decision actually matters?

As a mother, my instinct is often to give my daughter the answer I think will protect her. But I’m realizing that I can’t possibly prepare her with the right answer for every decision she will face. What I can help her develop is judgment.

I want her to know that the first response is a starting point, not necessarily the finish line. I want her to become curious when two answers conflict, to know how to ask another question, find another source, speak to someone with real world expertise, and then make a decision for herself.

And I want that for myself too.

There have already been moments in our family when AI gave us conflicting answers and we had to figure out what to trust. In this week’s short episode of The Courage to Be, I share one of those stories, along with a very real experience my daughter had after trusting an AI answer without giving it enough context.

🎙️ Listen here.

The more I use AI, the less interested I am in simply how much time it can save us or how productive it can make us. What interests me much more is what happens when we use it as a thinking partner, when we allow it to challenge our thinking and, just as importantly, when we challenge its answers, its assumptions, its sources and the perspectives it brings back to us.

That feels very different from simply asking a question and accepting the response. It requires us to stay engaged in the thinking, to give AI the context it needs, ask more thoughtful questions, check where the information is coming from, compare perspectives when something matters, and ultimately decide what we believe rather than handing that decision over.

Maybe one of the most important skills in the age of AI won’t be learning how to write the perfect prompt. It will be learning how to think alongside this technology without giving away our own judgment in the process.

And perhaps that is also something worth thinking about for the younger people in our lives. What do we hope they learn about knowing what to trust, what to question, and when to keep looking? And for ourselves, what helps us decide when an answer is good enough to trust, and when we need to question it further?

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