How do U.S. teens actually use chatbots for schoolwork?
Exploring whether chatbots have become a routine study tool for teens, how helpful they find them, and what patterns emerge across different uses.
Pew Research Center's survey of U.S. teens ages 13 to 17, conducted Sept. 25-Oct. 9, 2025, finds chatbot use for schoolwork and information-seeking has become ordinary: "more than half of teens say they have used chatbots to search for information (57%) or get help with schoolwork (54%)," and "47% say they've done so for fun or entertainment." One-in-ten "do all or most of their schoolwork with chatbots' help," and another 21% do "some" and 23% "a little." Helpfulness ratings run high — about a quarter call chatbots "extremely or very helpful for completing their schoolwork," another quarter "somewhat helpful," and "just 3% say these tools were of little to no help." Against that normalized, broadly positive picture sits a widely shared suspicion about peers: "a majority of teens (59%) think using AI to cheat is a regular occurrence at their school," including "about a third who say it happens extremely or very often."
The survey's own framing links this to a split in how teens weigh AI's effects. Teens see AI's impact on themselves as more positive than negative (36% vs. 15%), but turn more critical "when that same question is framed around society" (negative impact share rising to 26%). Among teens expecting a negative societal impact, the largest group — about a third — cites "overreliance, loss of critical thinking or creativity," ahead of job loss (a quarter) and misinformation (about one-in-ten). So the same population that reports benefiting personally from chatbot-assisted schoolwork also names overreliance and eroded critical thinking as the chief societal risk, and treats peer cheating via AI as commonplace rather than exceptional.
This sits beside the vault's controlled-experiment evidence on the same tension. Does ChatGPT help students code better but remember less? and Does chatbot interaction trade authenticity for better problem-solving? measure the authenticity and ownership costs that Pew's teens only intuit as a social-norm belief ("a regular occurrence at their school") rather than report about their own work. The casual-conversation and emotional-support minority (16% and 12%) also echoes How does emotional chatbot use develop from practical use?, where socioemotional use likewise grew out of practical use rather than starting there, and raises the same companionship concern named in Does sustained engagement with AI companions harm well-being?, though Pew's teens report this use at much lower rates than full companion-app engagement.
The excerpt does not give the survey's sample size, only that it covers U.S. teens 13-17; findings do not generalize beyond that population or country. "Cheating" is undefined and the 59% figure is teens' belief about what happens at their school generally, not a measured incidence rate or a report of their own behavior — it is perception of a peer norm, which can run ahead of or behind actual practice. Helpfulness and schoolwork-reliance figures are likewise self-reported, not measured against outcomes, so they cannot be read against the recall and ownership losses found in controlled studies above; at most, the two pictures run in parallel without confirming each other.
Inquiring lines that read this note 5
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How can emotionally responsive AI maintain reliability and healthy boundaries? How can AI systems reliably guide voters without introducing political bias? Why do people trust AI chatbots with sensitive information? Can AI chatbots provide mental health support without reinforcing harmful beliefs?Related concepts in this collection 4
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Does ChatGPT help students code better but remember less?
When students use ChatGPT for programming tasks, do they solve problems more effectively while retaining less knowledge afterward? This matters because high task scores may mask shallow learning.
measures the authenticity/ownership cost that Pew's teens only register as a belief that peer cheating is common
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Does chatbot interaction trade authenticity for better problem-solving?
When students solve problems with AI chatbots instead of peers, do they sacrifice personal voice and subjective expression in exchange for more efficient knowledge exchange and higher task performance?
same productivity-for-authenticity trade-off, measured rather than self-reported
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How does emotional chatbot use develop from practical use?
Do people gradually shift from using general-purpose chatbots for tasks toward relying on them for emotional support? This matters because it shapes how designers should think about updates and user continuity.
parallels teens' practical-to-personal use progression (schoolwork and search first, casual conversation and emotional support a minority use)
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Does sustained engagement with AI companions harm well-being?
This study tracked Character.AI users over a year to explore whether continuing to engage deeply with AI companions relates to worse well-being outcomes, and if so, through what mechanisms.
bears on the companionship concern the excerpt names, though teens report casual/emotional chatbot use at far lower rates than companion-app users
Related papers in this collection 8
Papers most semantically related to this note, ranked by cosine similarity in the embedding space.
- How Teens Use and View AI
- Talk, Trust, and Trade-Offs: How and Why Teens Use AI Companions
- Americans and AI 2026: Chatbots, smart devices and views on impact
- How People Use ChatGPT
- Developing Effective Educational Chatbots with ChatGPT prompts: Insights from Preliminary Tests in a Case Study on Social Media Literacy
- How AI and Human Behaviors Shape Psychosocial Effects of Extended Chatbot Use: A Longitudinal Randomized Controlled Study
- Chatting with Bots: AI, Speech Acts, and the Edge of Assertion
- "I Felt Very Seen, But Still Very Alone": Longitudinal Trajectories of General-Purpose LLM Use for Socioemotional Support
Original note title
Pew's survey finds most U.S. teens use chatbots for schoolwork while a majority view AI cheating as common at their school