DeepSeek, the Federal Spending Freeze, and America’s Innovation Crisis

About this episode

The episode discusses the implications of DeepSeek's AI model on America's innovation landscape and the challenges faced by U.S. tech companies.

Nvidia just lost $600 billion in value in a single day—the largest single-stock drop in history—and all because of a Chinese AI startup called DeepSeek. But this isn’t just about Nvidia or AI. It’s about how America is battling its own assumptions about innovation, efficiency, and progress. In this video, I'll talk about (1) how DeepSeek built a groundbreaking AI model for just $6 million (2) why U.S. tech companies like Meta and OpenAI are spending billions—and if that’s sustainable (3) the impact of federal funding freezes and policy decisions on America’s innovation pipeline (4) why the U.S. might be stuck in a “cold war” with itself over how progress should look and (5) what this means for the future of AI, talent allocation, and global competition. DeepSeek isn’t just disrupting the AI industry; it’s forcing us to ask some hard questions about how we measure success. 00:00 Intro 00:58 Our Broader Challenges 03:08 What Is DeepSeek? 05:00 How did they do it? 05:27 Innovation 08:40 The State of Tech 11:49 Financial Engineering 12:58 Talent 15:45 Final Thoughts EIG paper: https://eig.org/exceptional-by-design/ Music Used 'Shadows and Dust' by Scott Buckley - released under CC-BY…

People in this episode

Host: Kyla Scanlon

Topics covered

• AI innovation
• federal funding
• tech industry
• DeepSeek
• financial engineering
• U.S. competition

Keywords

• Nvidia
• DeepSeek
• AI model
• federal spending freeze
• innovation crisis
• Meta
• OpenAI
• financial engineering

Mentioned in this episode

Organizations: Nvidia, DeepSeek, Meta, OpenAI

Books & works: EIG paper

Places: America

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