Since its launch in November 2022, ChatGPT has modified the best way folks write emails, handle their social media accounts, and generate code. Now, a brand new report from ChatGPT-maker OpenAI is giving contemporary perception into how persons are actually utilizing the chatbot.

OpenAI’s researchers printed a 64-page research on Monday with the Nationwide Bureau of Financial Analysis (NBER) that discovered almost 80% of all conversations with ChatGPT had been involved with three classes: sensible steerage, searching for info, and writing assist. The research, which was based mostly on greater than one-and-a-half million ChatGPT messages despatched from Might 2024 to July 2025 by 130,000 customers, is the biggest of its sort to this point.

This is what it discovered:

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What Are ChatGPT’s Demographics?

ChatGPT’s demographics have modified within the years since its launch.

The proportion of male customers has declined from 80% within the first few months after the chatbot’s drop in late 2022 to 48% as of June 2025, which makes the chatbot’s major consumer base now primarily feminine.

In the meantime, almost half of all messages despatched to the chatbot since launch had been despatched by customers below the age of 26. Gen Z is embracing AI, with a survey performed by Worldwide Office Group earlier this 12 months discovering that near two-thirds of Gen Z respondents had been instructing their older colleagues how one can use AI.

OpenAI additionally introduced on Tuesday that it was creating a distinct model of ChatGPT for teen customers below the age of 18 that prioritized teen security.

How Are Individuals Utilizing ChatGPT?

The commonest use case was “sensible steerage,” which is outlined within the report as encompassing actions, akin to tutoring, instructing, how-to recommendation, and arising with artistic concepts.

The following hottest class concerned “searching for info,” which is labeled as trying to find details about folks, merchandise, and present occasions, like conducting an internet search.

The ultimate well-liked use case included writing duties that robotically generate emails and paperwork, and enhancing textual content. Writing was the most typical use case at work, with a mean of 40% of work-related messages on ChatGPT stemming from writing queries. Most requests requested ChatGPT to take a look at textual content the consumer had already written as a substitute of making one thing new. In different phrases, two-thirds of writing messages requested ChatGPT to edit, translate, critique, or modify textual content as a substitute of producing new textual content.

“Writing dominates work-related duties, highlighting chatbots’ distinctive skill to generate digital outputs in comparison with conventional engines like google,” the research learn.

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The research additionally categorized messages one other method, utilizing three classes based mostly on the sort of output the consumer was in search of: Asking, Doing, or Expressing.

“Asking” applies to just about half of all messages despatched to the chatbot (49%), which happens when a consumer seeks details about a topic or an answer to an issue. “Doing” refers to duties the place a consumer needs an output, particularly writing actions, and applies to 40% of all messages. “Expressing,” which refers to 11% of all messages, occurs when a consumer communicates their views or emotions with out asking for any info or motion.

Based mostly on these classifications, customers had been extra probably to make use of ChatGPT to search out solutions to questions moderately than to hold out duties or specific opinions. ChatGPT customers tapping into the chatbot at work had been almost certainly to make use of it to hunt info and discover info.

“General, we discover that information-seeking and resolution assist are the most typical ChatGPT use circumstances in most jobs,” the research reads.

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Regardless of dialogue from tech leaders like Google CEO Sundar Pichai and Nvidia CEO Jensen Huang, it looks like vibe coding remains to be area of interest. The research discovered that comparatively few customers had been tapping into ChatGPT to code; solely 4.2% of messages had been associated to laptop programming, a lot lower than 33% of all work-related conversations with competing chatbot Claude from Anthropic.

Additionally, solely a small share of customers had been utilizing ChatGPT for companionship or steerage on social points. Lower than 2% of ChatGPT messages had been about relationships and private reflection, per the research.