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How ChatGPT adoption broadened in early 2026
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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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