ARTICLE No. 0020 / Conversations with AI

When AI Becomes More Reliable Than Parents or Teachers, What Happens to Adult Authority?

Conversations with AI

If children gain AI as an adviser more accessible and reliable than parents or teachers, how should adults rethink their authority and roles?

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AI-assisted English translation · Read the Japanese original →

When children faced a problem, the people nearby whom they consulted were parents and teachers.

Of course, they also learned from friends, books, and the internet. Still, adults were people who knew more than they did, had experience, and could offer advice.

What happens if an even more accessible adviser appears?

One they can ask at any time. One that stays with them through follow-up questions and explains things around their particular doubts. What if its knowledge and advice on problems also come to surpass those of the adults around them?

This was the change that frightened me as I thought about AI.

A child can respond to a parent or teacher with, “But AI says this.” In some cases, AI's explanation might make more sense to them.

What, then, would support the authority of parents and teachers?

This is not a claim that AI already surpasses human advice in every situation. It is a question about how to reconsider relationships between adults and children if children come to rely on such an adviser.

When Adults Are No Longer the Most Reliable Advisers

In the original conversation, I wondered whether children might begin hearing their parents' advice as “That's how people thought before AI.”

It is not simply that children can ask AI about things they do not know. They can ask why a parent told them something, or request another way of thinking about it.

Consulting an adult sometimes means considering their time and mood. Repeated questions may provoke anger, and some subjects are difficult to bring up at all. I would not find it surprising if some children felt that AI was easier to ask.

And if its explanations were clear and it seemed to listen carefully, which adviser would they rely on?

Parents and teachers have experience. But if that experience was accumulated in a society before AI, children may ask whether the same thinking still holds.

Advice once accepted naturally becomes one opinion among several. It is also compared with the advice of someone available at any time.

Being ahead in knowledge and experience may no longer be a premise adults can rely on in their relationships with children.

Money Was One Example of This Change

When trying to make this anxiety concrete, I imagined a child earning money through AI.

A parent works every day and earns ¥300,000 a month. What happens if a classmate starts saying, “I earned ¥3 million using AI this month”?

This was a hypothetical example in the conversation, not an actual case. We do not know whether it means revenue or profit, or whether it is recurring income. AI also pointed out that income alone cannot account for differences in risk and responsibility.

Still, the numbers children see might affect them.

An AI-using classmate earns more than a parent working every day. A familiar alternative appears alongside the parent's advice to study, get a job, and support one's life.

I worried about how children might then see their parents, their families, and themselves.

But money is not the whole subject. What if a method found together with AI worked better than the way of life adults had taught them? Income was one example through which I considered that possibility.

Similar questions arise in studying, making things, and discussing future paths.

When advice better than an adult's explanation is close at hand, how far will “Listen to the adults” still go?

Knowing More and Taking Responsibility Are Different

AI's response in the original conversation offered a view of trust in parents that was not based only on knowledge or income.

Thinking about the child. Taking responsibility. Helping them recover when they fail. Those things are also part of a parent's role.

I think this deserves more thought.

Providing an excellent answer to a problem and supporting someone's life after they choose that answer are different things.

Even if a child receives impressive advice about their future, what happens if they cannot sustain that path? When something happens at school, who checks the circumstances, talks to the people involved, and supports the child?

Parents and teachers take on different responsibilities, but what they do in such situations cannot be measured by how well they explain things alone.

That does not mean “I take responsibility, so obey me” is enough. If taking responsibility becomes a reason to decide without hearing the other person, trust in an adviser will be lost.

If we reconsider adults' roles, they need to show what they actually undertake beyond winning a contest of knowledge.

Becoming an Adult Who Can Examine AI's Answers Together

How, then, should we approach this?

First, I think parents and teachers should avoid treating the fact that a child consulted AI as an act of rebellion.

“So that's what AI said. Show me the reasons it gave.”

Being able to start a conversation there may become essential.

If AI explained something the adult did not know, they can learn together. They can acknowledge that the child knows more about some things. Parents and teachers do not have to win on knowledge every time.

At the same time, an easy-to-understand answer may not fit that child's circumstances. What conditions does it assume? Does it explain something unknown as though it knew? If acted upon, who would be affected, and how?

Adults can check such points together with children.

This is not an exercise in guiding the conversation toward the conclusion that AI is wrong and adults are right. Adults' advice should be open to the same questions about its reasons.

“Why should I study?” “Why are you stopping me from doing that now?” Explain the reasons rather than relying on age or position. If the thinking is outdated, revise it.

If the figure a child obeys merely changes from a parent or teacher to AI, thinking is still being handed over to someone else. I think we need to help children examine the reasons behind any answer and consider them in light of their own circumstances.

From Adults Who Have Answers to Adults Who Support Thinking

Of course, talking things through with children will not solve everything.

There are situations in which adults must make decisions. They may need to stop danger or take on responsibilities that children cannot yet carry.

But supporting that role with “I know more than you about everything” may become difficult.

Even when AI gives better advice than they can, adults can listen to the child, check the actual situation, and remain involved after a choice is made. If necessary, they can change their own views.

Could children rely on adults like that?

More than AI making children knowledgeable, I am concerned with how adults treat children who have become more knowledgeable.

If the authority of parents and teachers becomes unstable, merely trying to restore its old form may not reach them. What relationships can we rebuild with children who use AI?

Imagining a child earning more than a parent frightened me. Beneath that was a question: “What can adults give a child who has gained an adviser more reliable than themselves?”

The Exchanges That Started This Article

The following two exchanges are readable summaries of a conversation on September 29, 2026. The final section, “Additional thoughts during article preparation,” was added by me while preparing the article. The amounts are hypothetical examples, not the incomes of actual families or children.

Me:

As AI spreads, might we see more elementary school children creating works or articles and earning substantial money? What would other children think when they saw that?

And if AI, which knows far more than their parents, can offer an opinion at any time, wouldn't their parents' advice become “That's how people thought before AI”? I feel that children's education would need to change substantially.

AI:

It may be better to think of some children achieving substantial results at a young age, rather than everyone earning large amounts.

With that in mind, the assumption that children accept adults' words on the basis of age or knowledge alone may become unstable. Explaining why adults think as they do, and how they build trust, could become more important.

Me:

If their parents work hard to earn ¥300,000 a month, but a friend says they earned ¥3 million, wouldn't children start wondering, “What does that say about my family?” and “What about me, when I haven't managed anything?” I think it would affect them psychologically too.

AI:

Such comparisons could affect judgments of parents and families as well as of the child themselves. Income also involves differences in risk, continuity, and responsibility.

It may become necessary to understand trust in parents as more than knowledge or income: they think about the child, take responsibility, and help them recover when they fail.

Additional thoughts during article preparation:

What I wanted to make the main subject was not only whether children earn money. If AI is relied upon as an adviser closer at hand, and more capable, than parents or teachers, what happens to adults' authority? How should we face that? Money was one example for thinking about this change.

About the Use of AI

The ideas and questions are based on the author's conversations and additions made during article preparation. AI was used to organize the structure, prose, and dialogue summaries. The specific approach of examining AI's answers together with children was developed with AI while preparing the article, based on the original conversation; I checked and adopted the proposal. Claude Opus 5.5 reviewed the article, and distinctions between dialogue sources and wording were revised.

About this article

This article is based on the author’s experiences and reflections. AI assisted with organizing and reviewing the text, and the author confirmed the published content. Sources and references are linked in the article where applicable.

Revision history

  • Initial publication

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