The Impact of Generative Artificial Intelligence on Market Equilibrium: Evidence from a Natural Experiment

Kaichen Zhang, Zixuan Yuan, Hui Xiong
11/13/2023
econ.GNcs.AI

No confident code implementation found for this paper.

Abstract

Generative artificial intelligence (AI) exhibits the capability to generate creative content akin to human output with greater efficiency and reduced costs. This groundbreaking capability, however, has ignited a debate regarding its potential to displace human creators. In light of these discussions, this paper empirically investigates the impact of generative AI on market equilibrium, in the context of China's leading art outsourcing platform. We overcome the challenge of causal inference by identifying an unanticipated and sudden leak of an advanced image-generative AI as a natural experiment. This leak precipitated a notable reduction in the production costs of anime-style images compared to other genres, thereby providing a unique opportunity for difference-in-differences comparisons. Our analysis shows that the advent of generative AI led to a 64% reduction in average prices, yet it simultaneously spurred a 121% increase in order volume and a 56% increase in overall revenue. This growth is primarily driven by the rising demand for "low-end" personal orders, rather than commercial orders. Moreover, incumbent creators retain the majority of the market share and reap the most benefits of generative AI. Our research highlights the potential of generative AI to benefit all stakeholders across the platform economy, yielding both scholarly contributions and practical implications.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{zhang2023impact,
  title  = {The Impact of Generative Artificial Intelligence on Market Equilibrium: Evidence from a Natural Experiment},
  author = {Kaichen Zhang and Zixuan Yuan and Hui Xiong},
  year   = {2023},
  eprint = {2311.07071},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2311.07071v2}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2311.07071.svg)](https://codeofpaper.com/paper/2311.07071)

Discussion