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Rep. Jacobs: Washington Is Getting the AI Race All Wrong | Opinion

Rep. Jacobs: Washington Is Getting the AI Race All Wrong | Opinion

Summary

Rep. Sara Jacobs says that the U.S. is focusing too much on being first in the AI race with China. Instead, she argues the U.S. should aim to create AI systems that people trust and want to use, while making sure these systems are safe and well-regulated.

Key Facts

  • The U.S. leads in advanced AI models and computing, but China leads in how much their AI models are used worldwide.
  • Chinese AI models became much more popular on Open Router, rising from 1% use in 2024 to over 60% in May 2026.
  • Chinese AI models are cheaper and use less computing power than leading U.S. models.
  • Rep. Jacobs believes the U.S. advantage is trust and safety, not just speed.
  • She says Congress needs to regulate AI by setting safety standards, requiring developers to publish safety plans, and doing pre-deployment testing.
  • She criticizes relying on companies to self-regulate AI development, citing past failures like the OpenAI breach at Hugging Face.
  • Jacobs recommends taxing capital similarly to labor and considering new taxes on AI use to shape company behavior.
  • She calls for federal regulators with authority, staff, and funding to oversee AI safety and enforce rules continuously.
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