NVDA directional thesis
The name most levered to nonstop AI capex gives back its premium as buildout spend outruns the actual revenue models can generate, with circular chip-vendor deals masking thin real demand.
“If the capabilities were actually at AGI level, people would be willing to spend trillions of dollars a year buying tokens that these models produce. Knowledge workers across the world cumulatively earn tens of trillions of dollars a year in wages. And the reason that labs are orders of magnitude off this figure right now is that the models are nowhere near as capable as human knowledge workers.”6:05claim_id
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