Tianxin Zou, Z. Shi, Yue Wu
2026.1.29JOURNAL OF MARKETING RESEARCH
tlooto Summary
A game-theoretic model is adopted to study how the democratization of content creation affects welfare and finds that when platforms can more effectively screen content and promote high-quality content, welfare rises but the technology is more likely to reduce welfare.
Abstract
The rise of content-creation technologies such as generative artificial intelligence (Gen-AI) has reshaped the way people produce and consume content. These technologies democratize content creation, enabling inexperienced individuals to generate content that rivals the quality produced by professionals. This paper adopts a game-theoretic model to study how the democratization of content creation affects welfare. While the content-democratization technology can assist low-quality creators in improving their content quality, it can precipitate a flood of such content in the market and crowd out high-quality content production, leading to welfare losses. An incremental technology development with low reduction in quality gap can hurt individual consumers and all creators, leading to a lose-lose market outcome. In contrast, a drastic one with high reduction in quality gap benefits individual consumers and all creators, leading to a win-win outcome. Furthermore, when platforms can more effectively screen content and promote high-quality content, welfare rises but the technology is more likely to reduce welfare. The findings help explain the distinct impacts of content democratization in different industries.
Citation format
ZOU, Tianxin; SHI, Z.; WU, Yue. EXPRESS: Welfare implications of democratization in content creation: Generative AI and beyond. JOURNAL OF MARKETING RESEARCH, 2026, 63(4): 607–625.