Kimi K3 is one of the most ambitious AI model launches of 2026—and it could reshape the global competition between Chinese and American AI companies. 

In this episode of the Macro AI Podcast, Gary Sloper and Scott Bryan explain who built Kimi K3, how Moonshot AI created a 2.8-trillion-parameter mixture-of-experts model, and why its architecture is designed for long-running coding and agentic work. 

Gary and Scott also clarify the frequently misunderstood difference between open-weight and open-source AI. They examine whether businesses will begin hosting models like Kimi K3 themselves, why most companies will still rely on managed infrastructure, and where smaller private models may deliver greater value. 

The discussion also compares Kimi K3 with leading American open models from NVIDIA, Google, OpenAI, Meta and IBM. Finally, Gary and Scott address model distillation, data security, deployment costs, geopolitical risk and the questions executives should ask before adopting a Chinese AI model. 

Listen for a practical business explanation of what Kimi K3 means for enterprise AI strategy. 

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About your AI Guides

Gary Sloper

https://www.linkedin.com/in/gsloper/

Scott Bryan

https://www.linkedin.com/in/scottjbryan/

Macro AI Website: 

https://www.macroaipodcast.com/

Macro AI LinkedIn Page:  

https://www.linkedin.com/company/macro-ai-podcast/

Gary's Free AI Readiness Assessment:

https://macronetservices.com/events/the-comprehensive-guide-to-ai-readiness

Scott's Content & Blog

https://www.macronomics.ai/blog