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NEARLY ONE-THIRD OF TEENS USE AI CHATBOTS DAILY AS CLASSROOM AND SOCIAL HABITS SHIFT
AppleMagazine
|December 12, 2025
A growing share of teenagers is turning to Al chatbots as part of their everyday routines, according to new survey from Pew Research findings showing that nearly one-third of U.S. teens now use conversational Al on a daily basis. The data offers a snapshot of how quickly Al tools have moved from emerging technologies to embedded parts of how teenagers study, communicate, and explore creative interests.
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Adoption rates across middle and high school age groups appear to be accelerating, reflecting broader shifts in digital behaviors over the past two years.
Researchers found that teens aren't limiting chatbot use to academic help or troubleshooting questions. Instead, many incorporate models into day-to-day curiosity, brainstorming for school projects, clarifying difficult topics, or experimenting with writing and art. The survey also indicates steady use for social queries, including advice-seeking and conversation practice. While the prevalence varies, usage clusters around students who are already accustomed to digital-first learning environments introduced during the pandemic.
Educators and researchers monitoring the trend say teenage adoption of generative Al mirrors earlier transitions to smartphones and social platforms, but at a faster pace. Chatbot access is now built directly into many school devices, educational portals, and cloud services, making it more visible than before. For many students, the technology functions as an auxiliary search tool, a writing companion, or a step-by-step explainer for complex school subjects. RISING DEPENDENCE ON AI FOR SCHOOLWORK
A significant portion of teenagers report using AI chatbots to support homework in subjects ranging from math and science to English and history. These tools help summarize readings, rephrase explanations, or provide structured guidance for multi-step problems. Teens describe the systems as more conversational and easier to follow than traditional search engines, which often return fragmented answers or overwhelming lists of links.

Cette histoire est tirée de l'édition December 12, 2025 de AppleMagazine.
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