Growing Up Without Friction
The cover essay called childhood development the biggest open question with the least data. The first real numbers are starting to arrive, and they complicate the reassuring story.
By Joe Jurczyk
Child & Adolescent Development
This topic covers what sustained AI use does to minds still forming — attention, language, empathy, and the tolerance for difficulty that learning requires. It is the area where the stakes are highest and the evidence is thinnest.
That imbalance is the point worth stating plainly. A 2026 perspective in Discover Public Health reviewing AI in childhood concluded that the evidence base for child-specific effects remains limited, even as adoption runs ahead of it. What exists is often narrow and genuinely encouraging: a 2026 Reading and Writing study of 71 kindergarteners found an AI reading chatbot helped struggling early readers with letter identification and phonological awareness — as a supplement to teacher-led instruction, not a replacement for it.
This hub collects that evidence as it accumulates, including the studies that complicate the alarm.
Essays
1 essayResearch and reporting
2 resourcesArtificial intelligence in childhood and its implications for mental health prevention
Discover Public Health • Jun 2026
A perspective piece on how children's exposure to adaptive learning tools, chatbots, and digital mental-health apps may shape critical thinking and empathy, arguing the evidence base for child-specific effects is still thin and calling for more research before wide deployment.
'AI'm learning to read!': A kindergarten experiment with a chatbot
Reading and Writing (Springer) • Feb 2026
An experimental study of 71 kindergarteners finds an AI reading chatbot helped struggling early readers gain letter-identification and phonological-awareness skills, positioning it as a supplement to — not a replacement for — teacher-led instruction.