By releasing powerful, open-source AI models, China may be strategically commoditizing software. This undermines the primary advantage of US tech giants like Microsoft and Google, while bolstering China's own dominance in hardware manufacturing and robotics.

Chinese AI models appear close to the frontier primarily because they are trained on the outputs of leading U.S. models. This creates a dependency loop: they can only catch up by using the latest from the West, ensuring they remain followers rather than innovators who can achieve a true breakthrough.

A key to China's industrial rise is its systematic willingness to reverse engineer best-in-class global products. The West's potential cultural aversion to this practice, especially with Chinese goods, is a significant hurdle to rebuilding its own advanced manufacturing capabilities.

Despite impressive models from companies like DeepSeek, China's AI ecosystem is heavily reliant on "distilling"—essentially copying and refining—open-source models from the US. This dependency on an external innovation engine is a major weakness in their national strategy to achieve genuine AI leadership and self-sufficiency.

The strategy of selling advanced tech to rivals like China to create dependency is flawed. The example of Tesla in China, which arguably gave BYD a 'paid education' in EV manufacturing, shows this approach can backfire. Instead of addiction, it can accelerate a competitor's ability to learn, iterate, and ultimately leapfrog the original innovator.

While China now leads in published AI research papers, this is not a sign of US decline. Instead, it reflects a talent shift from US academia into private AI labs where cutting-edge research is kept proprietary. The US's top talent has gone dark, not disappeared, skewing public data on innovation output.

Counterintuitively, China leads in open-source AI models as a deliberate strategy. This approach allows them to attract global developer talent to accelerate their progress. It also serves to commoditize software, which complements their national strength in hardware manufacturing, a classic competitive tactic.

China achieved tech superpower status not through invention, but by mastering mass manufacturing and process knowledge. It allows the U.S. to create the initial spark (0-to-1), like solar PV, and then China creates the "prairie fire" by scaling it (1-to-N), ultimately dominating the industry.

The closed nature of leading US AI models has created an information vacuum. Sridhar Ramaswamy notes that academia is now diverging from US industry and instead building upon published work from Chinese companies, which poses a long-term risk to the American innovation ecosystem.