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Generative AI use varies by country income and language

A new study analyzed global interactions with a free AI chatbot to understand how early adopters use generative AI. The research found that schooling is the most common use case in lower-income countries, while leisure activities are more prevalent in wealthier nations. Language also plays a significant role, with English being overrepresented in regions where local languages were not well-supported by AI models, suggesting that improved language performance could either widen or narrow digital divides. AI

IMPACT Reveals how AI adoption differs globally, highlighting potential for both widening digital divides and enabling leapfrogging based on language support.

RANK_REASON The cluster contains an academic paper detailing empirical research findings. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Madeleine I. G. Daepp, Isaac Slaughter ·

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

    arXiv:2605.30685v1 Announce Type: cross 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 empiri…