Kai-Fu Lee explains why Chinese AI’s ‘good enough’ strategy could beat US rivals globally

Kai-Fu Lee, one of the most prominent figures in artificial intelligence, laid out a provocative thesis in an interview with Bloomberg: Chinese AI companies don’t need to build the best models to win. They just need to build ones that are good enough, cheap enough, and open enough to dominate everywhere the US isn’t looking. Lee’s argument boils down to a classic business strategy applied to cutting-edge technology. While US firms chase frontier performance with massive budgets and closed ecosystems, Chinese AI labs are shipping open-weight models that deliver 90-95% of the capability at under 10% of the training cost. The efficiency playbook Chinese AI teams are reportedly using 1-3% of the GPU resources that their American counterparts deploy, yet achieving comparable results through sheer engineering efficiency. Those constraints aren’t entirely voluntary. US chip export restrictions have limited the hardware available to Chinese labs, forcing them to squeeze more performance out of fewer resources. The performance gap between US and Chinese AI capabilities has narrowed to approximately 3-6 months in key areas, according to Lee’s assessment. Open-weight Chinese models now featur...