A potential U.S. ban on Chinese open-source AI models could cost American businesses up to $12 billion annually, according to estimates by Daniel Yue, an assistant professor at Georgia Tech. His calculation is based on data from OpenRouter, a platform that aggregates access to various large language models. If users of OpenRouter had to switch from Chinese open-weight models to more expensive proprietary alternatives, their costs would rise by approximately $2 billion annually. Extrapolating this to the entire U.S. economy, the estimated cost could range from $3 billion to $12 billion, depending on how much the U.S. relies on these Chinese models. Yue emphasized that his figures are approximate due to challenges in tracking AI model usage beyond centralized platforms.
Bias read (Center): The article presents a neutral analysis of the potential economic impact of a U.S. policy decision regarding Chinese AI models. It does not take a stance on whether such a ban is justified or beneficial but focuses on quantifying the possible financial consequences for American businesses. There is





