Ep 823: The U.S. vs China AI Cold War Is Starting: What It Means and How It Impacts You

July 21
34 mins

Episode Description

A U.S. vs China AI cold war is starting, and most business leaders have no idea they're already in it.

China's open models just closed the gap with America's best, oftentimes at a fraction of the price.

Now both governments are moving to wall off their AI within days of each other.

Why? Because this was never about benchmarks. It's about power y'all. 

We break it all down on today's show and help you figure out the 101 of the AI war between U.S. and China. 

The U.S. vs China AI Cold War Is Starting: What It Means and How It Impacts You -- An Everyday AI Chat with Jordan Wilson


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Topics Covered in This Episode:

  1. U.S.-China AI Cold War Overview
  2. Chinese AI Models Closing U.S. Gap
  3. Government Restrictions on AI Model Access
  4. Economic and Geopolitical AI Power Struggle
  5. Risks for U.S. Businesses Using Chinese AI
  6. Open Source vs. Closed Source AI Debate
  7. Chinese AI Model Pricing Undercuts U.S.
  8. AI Model Distillation and U.S. Security Concerns
  9. Enterprise AI Cost-Effectiveness Benchmarks
  10. Microsoft Testing Chinese AI Deployments
  11. Future AI Model Export Controls & Strategies
  12. Recommendations for AI Model Sourcing and Risk




Timestamps:

00:00 US-China AI tensions escalate

04:30 Switching to Chinese AI models

08:47 US vs China in open source models

11:39 China's narrative control efforts

14:42 Challenges in AI model development

18:25 Differentiating open source strategies

23:04 AI model cost-effectiveness analysis

26:31 US measures against model distillation

29:38 Discussing Microsoft's use of AI models

31:17 Controlling export of AI models



Keywords: 

US vs China AI cold war, China AI restrictions, US AI restrictions, AI model export controls, Chinese open source AI models, AI geopolitical power, economic growth through AI, global AI standards, AI superpower race, AI model benchmarks, open weight models, enterprise AI deployment, trillion parameter AI models, Microsoft AI model testing, AI model pricing, Claude Fable 5, GPT-5.6, GLM 5.2, Kimmi K3, Alibaba Qwen 3.8, model distillation, AI cybersecurity risks, AGI leadership, military AI use cases, China narrative control, model adoption, compute power for AI, AI training data, AI export law, US national security and AI, model routing, mixture of models, cost per intelligence index, Anthropic models, cost per task AI, model capability parity, AI market adoption, cloud competition, AI architecture innovation, AI model sanctions

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