
OpenAI News
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How ChatGPT adoption broadened in early 2026
In the first quarter of 2026, consumer ChatGPT growth broadened across age groups, continued to rise among users with typically feminine names, and deepened in more countries.
This analysis covers the messages sent on ChatGPT consumer plans (Free, Go, Plus, and Pro). Because it excludes Codex and ChatGPT enterprise and education products, it understates total workplace and educational usage.
ChatGPT usage broadened beyond early adopters
Users with typically feminine names represented a growing share of ChatGPT usage this quarter after reaching approximate parity last year. These users account for over half of users for whom we’re able to infer gender (see gender inference methodology here).
The number of messages from all age groups increased with ChatGPT’s overall growth. In Q1, users under the age of 35 still accounted for the largest share of total messages, but messages from users over 35 gained share this quarter.
ChatGPT use spread beyond the largest and most established markets
We rank countries by the number of messages sent per capita to track relative country-level usage patterns. Many of the largest gains in rank this quarter came from countries outside the most established markets. The 10 fastest-rising countries point to a broadening pattern of adoption across Latin America and the Caribbean, Asia-Pacific, and Africa. These changes reflect relative movement, not total usage.
Countries with the largest increases in ChatGPT messages per capita ranking
Country | 2025Q4 Rank | 2026Q1 Rank | Change |
Dominican Republic | 53 | 44 | +9 |
Haiti | 91 | 82 | +9 |
Japan | 43 | 35 | +8 |
Mexico | 60 | 54 | +6 |
Tanzania | 102 | 96 | +6 |
Brazil | 47 | 42 | +5 |
Costa Rica | 38 | 33 | +5 |
Myanmar | 99 | 94 | +5 |
Papua New Guinea | 109 | 104 | +5 |
Austria | 15 | 11 | +4 |
Workplace use evolved
Within work-related usage on consumer plans, creating written and visual materials continued to lead, but decreased over time while more specialized tasks became more popular. This analysis excludes Codex usage, which is likely shifting technical work toward coding agents.
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