@unpublished{misra2025ai,
author = {Misra, Amit and Zamir, Syed Waqas and Hamidouche, Wassim and Becker-Reshef, Inbal and Lavista Ferres, Juan M.},
title = {AI Diffusion in Low Resource Language Countries},
year = {2025},
month = {October},
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.},
url = {http://approjects.co.za/?big=en-us/research/publication/ai-diffusion-in-low-resource-language-countries/},
}