This article won't tell you what to do with your children. It will weigh what the available data suggests, in both directions, and draw out a principle that seems to hold. If you're looking for a clear rule like this many years of banning it, it doesn't exist, and no one can honestly give you one today.
This is probably the most common question parents are asking in 2026, and it's a trap because both opposing answers have strong arguments. Let's look at them seriously.
The case for early exposure
The first camp puts forward a simple line of reasoning: these tools are now part of the working world, and depriving a child of mastering them amounts to putting them at a disadvantage.
The data partly backs them up. Google's ATLAS study, which we detailed in a recent article, shows that AI use touches around 70% of occupations, representing nearly 90% of employment. Knowing how to formulate a request, evaluate a response, and orchestrate a tool is becoming a basic professional skill, much as knowing how to search the internet became one over twenty years.
There's also an equity argument. Children whose parents master these tools will be exposed to them anyway. A strict ban in some families and open access in others would widen a skills gap that would stack on top of existing inequalities.
The case for protection
The second camp leans on more worrying data, which we examined in our article on cognitive delegation.
Several studies link heavy AI use to a measurable decline in critical thinking, with a particularly clear signal among 17–25-year-olds, the heaviest users. An MIT study observed weaker brain connectivity and poorer memory retention in those who wrote with assistance, coining the term cognitive debt.
The reasoning holds: learning happens through difficulty. A child learns to write by searching for words, to calculate by making mistakes, to reason by getting tangled up and then untangling. Remove that effort and you remove what it was building. We saw the professional version of this in our article on learning to code: you can't oversee what you don't understand.
Let's note, however, the major methodological limitation of these studies: they are correlational, not causal. They observe an association, without demonstrating that AI is the cause.
In the MIT study, the most instructive phase was when the roles were reversed. Those who had first worked without the tool for several sessions, then moved to AI, retained good brain connectivity. Those who had always been assisted showed, once deprived of the tool, weaker activity than those who had never had help. In other words: order seems to matter more than exposure. It's not the tool that's the problem—it's skipping the building stage.
The principle that follows
If this result holds up, it suggests a less binary approach than banning or open access: build first, delegate later.
Concretely, that means protecting the learning of core skills while they're being built, then introducing the tool once the foundation is there. A child who can write a structured text can learn to use AI to improve it. A child who has never built a paragraph alone won't learn to judge one.
This shifts the question from "what age" to "what for". Using AI to understand a concept you first tried to grasp on your own is a use that exercises. Asking it to produce an assignment you didn't try to do is a use that offloads. The same tool, two opposite effects.
Three practical benchmarks
Distinguish producing from understanding. The useful question to ask a child isn't did you use AI, but can you explain what you handed in. If they can defend their work, the tool helped them. If not, it replaced them.
Learn doubt with the tool. A child who discovers that an AI states something false with exactly the same confidence as something true learns a valuable critical-thinking lesson, one that transfers well beyond. That's the subject of our article on calibration: tone carries no information about reliability. Checking a false answer together is worth a lot of talk.
Beware of emotional companions. This is the point where caution isn't negotiable. We saw in our article on the Chinese law that the country has outright banned virtual companion-style relationships for under-18s, and that legal proceedings are underway in the West after dramatic situations involving teenagers. A tool that helps learning and a tool designed to create attachment are two different things, and don't deserve the same trust.
What to take away
There's no universal right answer, and be wary of anyone offering one with confidence: the data is too recent and too partial. But the principle of order seems solid, and it has the advantage of being applicable: let what needs to be built get built, then open up the tool.
There's also a reassuring continuity in this story. Every generation of parents has faced a tool that seemed to threaten learning: the calculator, television, the internet, the smartphone. Each time, the useful answer was neither total ban nor blind permission, but guidance. What changes with AI is that the tool no longer replaces a technical gesture—it potentially replaces the effort of thinking. That justifies more vigilance, not necessarily more banning.