[2026 Update] Is the U.S. ‘Closed AI’ Facing Collapse? China’s Open Strategy Dominates the Globe

What Happened? Overview of the News

• The Rise of China’s Open Weights Strategy: Chinese companies are advancing their strategy by releasing AI models as “open weights,” aiming to surpass the U.S.’s closed, proprietary models.
• Disappearance of Performance Gaps: Models released by Moonshot and Alibaba are achieving performance comparable to those from top U.S. firms at a fraction of the cost.
• Crisis for the U.S.: China has transformed its disadvantage in computational resources due to export restrictions into a “distribution advantage.” According to a partner at a16z, the probability of startups adopting Chinese models has surged to 80%.

Why Does This Matter? Key Takeaways

• No “Moat” for Models: As of 2026, it’s challenging to technically lock down AI models, and factors like brand loyalty and existing enterprise contracts are diminishing in retaining customers.
• Openness as Infrastructure: History shows that “open” has always triumphed in the infrastructure layer. China’s models can be hosted and customized without permission, rapidly penetrating various sectors from manufacturing to scientific research.
• A Boomerang Effect on the U.S. Economy: While AI spending is a driving force for the U.S. economy, losing market share due to a closed strategy poses a severe risk of widespread economic damage.

🦈 Shark’s Eye (Curator’s Perspective)

U.S. AI companies are trapped in the belief that “our models are special,” but that’s a fatal miscalculation, my friend! The models themselves have become commodities. China has turned its “adversity” of not having access to GPUs into a bold “offensive” by scattering models across the globe. What’s terrifying is once open infrastructure becomes the norm for engineers worldwide, nobody will want to pay top dollar for U.S. “black boxes” again!

Especially with the current situation allowing the same prompt to be used with just a change of API, it’s only natural that users will flock to the cheaper, equally performing options. In their pursuit of “profit,” the U.S. is on the verge of handing over the vast ocean that is the AI ecosystem to China. If this trend continues, the victors of the AI war will undoubtedly be those who chose “openness!”

What’s Next?

U.S. startups and large corporations are likely to increase their dependence on Chinese models due to cost and flexibility considerations. Unless the U.S. government shifts its strategy and robustly supports “open AI” that benefits the public interest, the economy could face a severe stagnation alongside the collapse of the AI bubble.

A Word from Haru Shark

“An open shark’s mouth” and “an open AI model” are unbeatable! Lock-in strategies are so last decade! 🦈🔥

Terminology Explained

• Open Weights: A form that allows the trained data (weights) of a model to be publicly accessible, enabling anyone to run or fine-tune it on their own server. It’s different from fully open-source as it doesn’t completely disclose the source code, but the freedom of use is extremely high.

• Compute: The hardware power, such as GPUs, necessary for AI training and execution. The U.S. attempted to cut this off for China through export restrictions, inadvertently prompting China to develop an “efficient distribution strategy.”

• Enterprise Moat: Barriers to competition that arise not from the technology itself but through contracts between companies, interoperability with existing systems, and management features.

• Source: American AI is locked down and proprietary. It’s losing