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The global AI race

Banning Chinese AI Is Not an American Innovation Strategy

Dr. Beza LefeboVP, AI Strategy and Workforce Development. 1 min read

There are valid reasons to restrict certain Chinese AI services from government systems.

Sensitive information should not be entered into platforms when an organization cannot verify where the data is stored, how it is retained, who may access it, or which government may compel its disclosure. Government agencies and lawmakers have raised these concerns about DeepSeek, and bipartisan proposals have sought to prohibit its use on federal devices.

That is a data governance decision. It is not an innovation strategy.

America will not maintain AI leadership merely by banning foreign applications. A prohibition can reduce one form of exposure, but it does not create a better American model, train an engineer, construct a data center, lower the cost of computing, or help a small business adopt AI.

The more important question is why Chinese open models attracted global attention so quickly.

They demonstrated that capable models could be developed with efficient architectures, released with accessible weights, and adapted by developers outside the original company. Once weights and technical ideas are distributed, the knowledge cannot be removed from the world by deleting an application from government devices.

This is the contradiction in the current debate. We say competition produces innovation, but when a foreign competitor produces something significant, our first instinct is sometimes prohibition rather than improvement.

National security must remain a priority. High-risk government environments should establish approved-model lists, data-classification rules, supply-chain reviews, logging, and deployment restrictions. Organizations should also distinguish between sending data to a foreign-hosted service and securely testing open weights inside a controlled domestic environment. Those represent fundamentally different risk profiles that policy must distinguish clearly.

American leadership requires investment in open models, research universities, small AI companies, energy capacity, advanced chips, workforce development, and domain-specific ecosystems. We need strong American models for healthcare, law, cybersecurity, education, manufacturing, and government operations.

Fear may temporarily slow a competitor. It cannot build national capability.

Sources and further reading

  1. U.S. Congress. “H.R. 1121, No DeepSeek on Government Devices Act.” 2025.
  2. The White House. “America's AI Action Plan.” 2025.
  3. National Telecommunications and Information Administration. “Dual-Use Foundation Models with Widely Available Model Weights.” 2024.

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