AI Diffusion in Low Resource Language Countries

📝 Original Info

• Title: AI Diffusion in Low Resource Language Countries
• ArXiv ID: 2511.02752
• Date: 2025-11-04
• Authors: 논문에 명시된 저자 정보가 제공되지 않았습니다. 저자 명단이 필요하면 원문을 확인하시기 바랍니다.

📝 Abstract

Artificial intelligence (AI) is diffusing globally at unprecedented speed, but adoption remains uneven. Frontier Large Language Models (LLMs) are known to perform poorly on low-resource languages due to data scarcity. We hypothesize that this performance deficit reduces the utility of AI, thereby slowing adoption in Low-Resource Language Countries (LRLCs). To test this, we use a weighted regression model to isolate the language effect from socioeconomic and demographic factors, finding that LRLCs have a share of AI users that is approximately 20% lower relative to their baseline. These results indicate that linguistic accessibility is a significant, independent barrier to equitable AI diffusion.

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