How Early Adopters Used Generative AI Worldwide: Variation by Country Income and Language

• URL: http://arxiv.org/abs/2605.30685v1
• Date: Fri, 29 May 2026 00:28:36 GMT
• Title: How Early Adopters Used Generative AI Worldwide: Variation by Country Income and Language
• Abstract summary: Schooling is the most common domain of use in most countries, particularly low-income countries.<n> Leisure-related use, by contrast, is positively associated with country-level income.<n>English-language interactions are overrepresented in places where the predominant languages were not well-served.
• Score: 1.1554344002690022
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: AI is being used by people globally, but not everyone is using it in the same ways. Using a large-scale dataset of anonymized, de-identified, and privacy-scrubbed interactions with a widely available and free AI chatbot, we empirically characterize differences in early adopters' usage across countries. Schooling is the most common domain of use in most countries, particularly low-income countries, with a strong inverse association evident between schooling and country-level GDP. Leisure-related use, by contrast, is positively associated with country-level income. Language, we find, also shapes use: English-language interactions are overrepresented in places where the predominant languages were not well-served by existing models during the period of the study. Improving performance across languages may be a key factor, our work suggests, in whether this technology expands digital divides or enables leapfrogging.

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