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Anne J Maheux1, Samir Akre-Bhide2, Debra Boeldt2

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Generative artificial intelligence (GenAI) app usage is documented in US youth, with over 30% adoption and significant time spent by a subset. Further research is needed to understand the developmental impacts of this widespread GenAI use.

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Area of Science:

  • Digital Health
  • Adolescent Psychology
  • Artificial Intelligence

Background:

  • Generative artificial intelligence (GenAI) tools are increasingly prevalent.
  • Understanding youth adoption and usage patterns of GenAI is critical for assessing mental health implications.
  • Current data on GenAI use among adolescents is limited.

Purpose of the Study:

  • To characterize the adoption rates and time spent using GenAI applications among US youth.
  • To identify age-related differences in GenAI app usage.
  • To analyze temporal patterns of GenAI use (e.g., after school, nighttime).

Main Methods:

  • Cross-sectional study utilizing data from a parental monitoring app (Aura app) in the US.
  • Passive sensing of digital behavior from smart device usage in youth aged 4-17 years.
  • Analysis of anonymized data collected between September 2024 and April 2025.

Main Results:

  • 31.9% of 6488 surveyed youth used GenAI apps.
  • Adoption was highest in older adolescents (15-17 years, 50.4%) but significant in younger groups too.
  • While average daily use was low (median 0.18 minutes), a small subset of users engaged heavily (over 40 minutes/day).

Conclusions:

  • GenAI app usage shows wide variation among US youth, with substantial adolescent engagement.
  • A small proportion of youth exhibit heavy GenAI usage patterns.
  • Future research should explore individual differences in GenAI use to understand developmental effects.