In the era of rapid globalization and informatization, AI-driven media is profoundly transforming how information is disseminated. However, using AI algorithms in the media has introduced new disparities in knowledge access, especially impacting developing countries. To recognize these challenges, the paper aims to explore the global knowledge inequality in the age of AI-driven media: challenges for developing countries. The study focused on AI-driven media users in developing countries and adopted a qualitative analysis approach based on literature review. The article commences with a definition of AI-driven media and knowledge, examines the status of knowledge inequality under AI-driven media, and discloses the potential factors of knowledge inequality in developing countries under AI-driven media from three aspects: (1) capital control and AI technology monopoly in developed countries, (2) conflict between mainstream consciousness and social and cultural diversity, and (3) the impact of algorithms on individual self-awareness. This paper finds that AI-driven media often exacerbate existing inequalities of information and knowledge access in developing countries due to capital controls, cultural dominance, algorithmic bias, recommendations in developing countries, etc. Without key interventions, AI-driven media could further exacerbate the knowledge gap
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