5 citations · 9 across the 8 of their papers we have counts for
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Beyond Private or Public: Large Language Models as Quasi-Public Goods in the AI Economy
Yukun Zhang, TianYang Zhang
This paper conceptualizes Large Language Models (LLMs) as a form of mixed public goods within digital infrastructure, analyzing their economic properties through a comprehensive th…
The Economics of Information Pollution in the Age of AI: General Equilibrium, Welfare, and Policy Design
Yukun Zhang, Tianyang Zhang
The advent of Large Language Models (LLMs) represents a fundamental shock to the economics of information production. By asymmetrically collapsing the marginal cost of generating l…
Generative AI and Information Asymmetry: Impacts on Adverse Selection and Moral Hazard
Yukun Zhang, Tianyang Zhang
Information asymmetry often leads to adverse selection and moral hazard in economic markets, causing inefficiencies and welfare losses. Traditional methods to address these issues,…
AI-Enabled Rent-Seeking: How Generative AI Alters Market Transparency and Efficiency
Yukun Zhang, Tianyang Zhang
The rapid advancement of generative artificial intelligence (AI) has transformed the information environment, creating both opportunities and challenges. This paper explores how ge…
The Impact of Generative AI on Content Platforms: A Two-Sided Market Analysis with Multi-Dimensional Quality Heterogeneity
Yukun Zhang, Tianyang Zhang
This paper presents a unified computational framework to examine how generative AI (GenAI) reshapes welfare, inequality, and diversity in content platform economies. By integrating…