The Impact of Generative Artificial Intelligence

Kaichen Zhang, Ohchan Kwon, Hui Xiong
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Abstract

The rise of generative artificial intelligence (AI) has sparked concerns about its potential influence on unemployment and market depression. This study addresses this concern by examining the impact of generative AI on product markets. To overcome the challenge of causal inference, given the inherent limitations of conducting controlled experiments, this paper identifies an unanticipated and sudden leak of a highly proficient image-generative AI as a novel instance of a "natural experiment". This AI leak spread rapidly, significantly reducing the cost of generating anime-style images compared to other styles, creating an opportunity for comparative assessment. We collect real-world data from an artwork outsourcing platform. Surprisingly, our results show that while generative AI lowers average prices, it substantially boosts order volume and overall revenue. This counterintuitive finding suggests that generative AI confers benefits upon artists rather than detriments. The study further offers theoretical economic explanations to elucidate this unexpected phenomenon. By furnishing empirical evidence, this paper dispels the notion that generative AI might engender depression, instead underscoring its potential to foster market prosperity. These findings carry significant implications for practitioners, policymakers, and the broader AI community.
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生成式人工智能的影响
生成式人工智能(AI)的兴起引发了人们对其对失业和市场萧条的潜在影响的担忧。本研究通过研究生成式人工智能对产品市场的影响来解决这一问题。为了克服因果推理的挑战,考虑到进行受控实验的固有局限性,本文将高度精通的图像生成人工智能的意外和突然泄漏确定为“自然实验”的新实例。这种人工智能泄漏传播迅速,与其他风格相比,大大降低了生成动画风格图像的成本,为比较评估创造了机会。我们从一个艺术品外包平台收集真实世界的数据。令人惊讶的是,我们的结果显示,虽然生成式人工智能降低了平均价格,但它大大提高了订单量和总收入。这一违反直觉的发现表明,生成式人工智能给艺术家带来了好处,而不是坏处。本研究进一步为解释这一意外现象提供了理论经济学解释。通过提供经验证据,本文消除了生成式人工智能可能导致萧条的观点,而是强调了其促进市场繁荣的潜力。这些发现对从业者、政策制定者和更广泛的人工智能社区具有重要意义。
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