Why AI Bets Fail: Leverage, Timing, and Runway

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What's really happening when a forced AI trade and Apple's long-term hardware strategy collide?
The common story is that the best thesis wins — but the reality is that leverage, timing, and execution can matter just as much as being right.
In this video, Nate shares the inside scoop on Leopold Aschenbrenner's AI trade, Ken Griffin's forced-sale opportunity, and why Apple can remain a default winner no matter which AI lab leads.

• Why leverage can break a position without breaking the thesis
• How a margin call turns market pressure into a forced sale
• Why Apple's chips make it valuable across competing AI ecosystems
• What Apple still has to execute to turn position into strategy

Operators, builders, investors, and anyone making long-horizon AI bets should care about the difference between having the right position and actually capitalizing on it.
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