Surprising report from OpenAI: ChatGPT is mostly used for those tasks
The research revealed that only 30 percent of ChatGPT's usage was work-related, with the remaining 70 percent occurring for non-work purposes. This suggests that the chatbot is primarily used more extensively in everyday life.
MOST USED IN DAILY WORKSNon-business uses primarily focus on "everyday tasks." ChatGPT is reportedly preferred for practical guidance, information retrieval, and writing tasks that create economic value in users' personal and professional lives. Three-quarters of conversations include this type of assistance.
The research found that nearly half of the messages were based on asking a question, suggesting that ChatGPT was perceived as a kind of advisor rather than a task-complete tool. Tasks like copywriting, planning, and scheduling accounted for 40 percent of the messages.
Interestingly, less than 2 percent of conversations consist of social-emotional or “companionship”-themed content, while topics like personal reflection, exploration, and gaming account for another 11 percent.
PROGRAMMING-RELATED REQUESTS MAKE UP 4 PERCENTWriting is the dominant area for business use. Users generally don't ask ChatGPT to create a text from scratch. Instead, they rely on support for editing, critiquing, or translating their own texts. Coding and creative work remain more niche in terms of usage, with programming-related requests accounting for only 4 percent.
OpenAI states that AI contributes to decision-making processes by enhancing judgment and efficiency, particularly in knowledge-intensive tasks. One of the contributors to the research was Harvard University economist David Deming.
The study also revealed a striking shift in the demographics of ChatGPT users. The proportion of "female-sounding" usernames increased from 37 percent in 2024 to 52 percent in 2025. This suggests a significant stabilization of the user profile, which had been predominantly male in previous years.
OpenAI stated that it used automatic classification tools to examine the content of the conversations, and that the data was evaluated without human analysis.
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