Is the tech industry moving too quickly, or are founders letting fear of AI labs stunt their ambitions? Sarah and Elad explore the current landscape of artificial intelligence, venture capital, and startup dynamics. They discuss the realities of building multi-trillion-dollar companies, shifting market sizes and outcome-based pricing models, and how founders are reacting to the rise of major AI labs. They also talk about what the framework for startup exits should look like, the potential for researcher burnouts in the next eighteen months as ASI looms on the horizon, bottlenecks for compute, and the impact of regulatory capture and shifting ecosystems from California to Texas.

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Chapters:
00:00 – Cold Open Trailer
00:31 – Episode Introduction
01:44 – The Next Trillion-Dollar Company
03:12 – Tech Waves as Punctuated Equilibria 
04:42 – TAM vs. Revenue Reality
07:14 – Market Size vs. Speed
10:32 – When Founders Should Sell
14:04 – Financing and Time Cost
17:57 – RSI and the Looming Promise of ASI
21:49 – Compute Power Laws
28:12 – Regulations and Disruption
33:06 – Beyond Transformers
34:26 – Tradeoffs - Safety vs. Progress
39:11 – Conclusion

Chasing Trillion-Dollar Companies, Founder Ambition, Token Budgets, & Regulatory Capture