The AI Crisis

<p>In this Take, I break down why the biggest AI labs, while deeply unprofitable sitting on massive future compute obligations, are racing toward trillion-dollar valuations. I explore how open-source competition, especially from China, is crushing their moat, and why that pushes them toward lobbying for fear-driven regulation, immunity, and government partnerships. Ultimately, I argue that the AI panic is about preserving a failing business model and building a centralized surveillance infrastructure, and why we shouldn’t be the ones paying their bill.</p>

<p><strong>Chapters</strong> </p>

<p>(00:00:00) - Introduction </p>

<p>(00:00:27) - OpenAI’s insane obligations </p>

<p>(00:01:51) - Anthropic’s profit illusion </p>

<p>(00:02:40) - Trillion-dollar IPO dreams </p>

<p>(00:03:12) - The open-source threat </p>

<p>(00:04:38) - Engineering the panic </p>

<p>(00:06:10) - Regulatory moat and control </p>

<p>(00:09:11) - What this is all about</p>

<p><strong>Affiliate Links</strong></p>

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