Market Power in Artificial Intelligence
综述了帮助理解AI产品市场竞争驱动因素的文献，聚焦训练数据、输入数据和AI预测三个市场，指出数据跨企业流动是市场势力形成的关键，但受计算、注意力稀缺、平台设计和模型开放度等瓶颈影响。
This article surveys the relevant existing literature that can help researchers and policymakers understand the drivers of competition in markets that provide artificial intelligence (AI) products. The focus is on three broad markets: training data, input data, and AI predictions. A recurring theme is that the mobility of data across firm boundaries, including the operation of data markets, is central to the emergence and persistence of market power, but its force depends on interacting bottlenecks such as compute, attention scarcity, platform design, and model openness.