Invest Like the Best · Podcast summary
Ben Thompson on Big Tech, China, and the AI Boom Running Out of Money - [Invest Like the Best, EP.487]
Ben Thompson, author of Stratechery, discusses the implications of AI on geopolitics, the economy, and the future of technology, including the potential for an AI boom to run out of money.
Listen on the show ↗Key takeaways
- 🇨🇳Winning the AI race could be problematic for the US, as it might provoke a game theory optimal response from China, such as blowing up TSMC.02:35
- 🔗The US's dependency on China for critical manufacturing is underestimated, and decoupling is unlikely to happen without significant conflict.03:54
- ⚖️The current AI equilibrium, with OpenAI and Anthropic leading, is generally favorable to the US, but its sustainability is questionable.06:37
- ♾️The recursive nature of AI, where AI improves itself, is a real and accelerating phenomenon that will make catching up increasingly difficult.07:07
- 💸The 'cost to serve' AI, even for open-source models, is a significant and often underestimated factor, impacting business models and enterprise adoption.07:30
- 💥The AI boom's capital requirements could lead to a 'big blow-up' similar to historical bubbles, but AI's progress will likely continue regardless.10:07
Chapters
- 3:39The AI Race: Winning and Losing
- 10:01The Current AI Equilibrium
- 17:07Lessons from History: Railroads and Capital
- 43:18The Unconventional Wisdom of Advertising
- 50:39The Future of Compute and Risk
- 1:14:54The Most Interesting Setups in Big Tech
The digest
Ben Thompson, the insightful author of Stratechery, joined Patrick O'Shaughnessy on the Invest Like the Best podcast to dissect the multifaceted impact of artificial intelligence. Their conversation spanned from the geopolitical implications of an AI race to the economic realities of scaling AI infrastructure, touching on everything from the future of manufacturing to the intricacies of tech giants' business models.
The AI Race: Winning, Losing, and Game Theory
Patrick kicked off the discussion by asking Thompson what it would mean for the US to "win" the AI race. Thompson's response was provocative: he believes it would be "very problematic" for the US to win. He painted a fantastical scenario where controlling AI leads to military superiority and manufacturing dominance. However, he quickly pivoted to the game theory optimal response from China in such a world: to blow up TSMC. This stark example highlighted Thompson's fundamental disconnect with much of the Silicon Valley rhetoric surrounding AI. He argued that achieving a meaningful military or national security superiority through AI would be dangerous for the world. The conversation then delved into the practicalities of such a scenario, questioning how much the US could truly decouple from global supply chains, particularly in semiconductor manufacturing, even if it were to develop its own fabs.
Thompson emphasized that the degree to which the US is dependent on China is "underappreciated" and that fixing this dependency is unlikely to happen outside of a conflict. He argued that it would be "dramatically dumb" for a company to shift its sourcing from China to the US if its competitors were not doing the same, as it would create a significant disadvantage. This leads to the conclusion that such a shift would only occur when there is "literally no choice." He used Apple's partial shift of iPhone manufacturing to India as an example, noting that it's a diversification rather than a complete move out of China, driven by the astronomical costs involved in such a transition.
Keep reading in The Digest
The full 6-minute article, 5 more sections, and every new episode from Invest Like the Best and the creators you follow.
- The Current AI Equilibrium and Future Challenges
- Lessons from History: Railroads, Bubbles, and Capital Curves
- The Unconventional Wisdom of Advertising and Consumer Behavior
- The Future of Compute, Risk, and Market Dynamics
- The Most Interesting Setups in Big Tech
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