A survey of US teens aged 13-17 found 26% used ChatGPT for schoolwork in 2024, up from 13% in 2023, while 79% had heard of it, up from 67% in 2023
As debates continue over whether chatbots should have a role in the classroom, more teens are turning to ChatGPT to help with schoolwork.
Context & Ripple Effects
The finding extends Pew's earlier evidence that ChatGPT use was already higher among 18-29-year-olds than among older adults in early 2024, making schoolwork a notable entry point for younger users. It also moves the discussion from awareness—when many adults had heard of ChatGPT but far fewer had tried it—to recurring practical use.
Later Pew teen coverage indicates the behavior broadened beyond a single school tool into use of multiple chatbots, including reported teen adoption across ChatGPT, Gemini, Meta AI and Copilot.
First-order effects
- A larger share of US teens is bringing ChatGPT into schoolwork, increasing the immediate need for teachers and schools to distinguish acceptable assistance from work submitted as a student's own.
- ChatGPT gains a deeper foothold with a younger user cohort: use for a concrete task doubled year over year, while awareness also rose.
Second-order effects
- Schools face pressure to update assignment design, assessment practices and AI-use guidance as chatbot assistance becomes more familiar to students.
- Competing chatbot providers have a clearer incentive to target education-oriented workflows, since stronger ChatGPT adoption among younger adults suggests usage can persist beyond school-age experimentation.
Third-order effects
- If classroom use continues to spread, AI assistants may become a routine work surface for learning, shifting educational differentiation toward how students verify, cite and apply generated material rather than whether they can access it.
- The pattern raises the stakes for durable norms around AI literacy and academic integrity, though survey adoption alone does not establish how schools will formalize those rules.
The trend: Generative AI is moving from a novel consumer chatbot toward an embedded assistant layer for everyday learning and knowledge work.