Philippe Laffont went on CNBC this morning with a framework that skips the usual bitcoin-versus-gold debate and lands somewhere more concrete. “Is there going to be a $10 trillion company in 10 to 15 years? I think yes,” the Coatue Management founder said, walking through the arithmetic. Global market cap sits near $120 to $140 trillion today, and if it grinds to $200 trillion over the next decade, a company worth 5% of the world would clear $10 trillion. The mechanism he keeps pointing at is agentic AI, which he called “one of the bigger ideas, at least in my investment career.”
The shorthand for agentic AI is software that does work rather than answers questions. Laffont described it as “the ability to have thousands of people working for you” overnight, and said the productivity gains were already showing up “even in our own office.” That framing matters because the companies closest to his $10 trillion finish line are the ones selling the picks and shovels for that buildout, plus the hyperscalers consuming them.
NVIDIA is the obvious candidate
NVIDIA (NASDAQ:NVDA | NVDA Price Prediction) carries a market cap of roughly $4.8 trillion as of this week, which puts it about halfway to Laffont’s threshold without needing any heroic assumptions about market expansion. The Q1 FY27 report from May 20, 2026 showed revenue of $81.61 billion, up 85.2% year over year, with the data center segment alone at $75.25 billion. Jensen Huang called the AI factory buildout “the largest infrastructure expansion in human history.”
The stock itself trades around $199, up 5.6% year to date and 35% over one year. Forward earnings change hands at roughly 23 times, which is not a stretched multiple if revenue keeps compounding at the current pace. Loop Capital analyst Ananda Baruah already raised his target to $350, which implies an $8.5 trillion valuation.
The hyperscalers are funding the entire thing
Microsoft (NASDAQ:MSFT), Alphabet (NASDAQ:GOOGL), Amazon (NASDAQ:AMZN), and Meta Platforms (NASDAQ:META) are writing the checks that turn into Nvidia revenue. Microsoft’s AI business hit a $37 billion annual run rate, up 123% year over year, with commercial remaining performance obligations at $627 billion. Alphabet guided 2026 capex to $175 billion to $185 billion, and Google Cloud backlog nearly doubled quarter over quarter to roughly $460 billion. Moreover, Amazon plans about $200 billion in 2026 capex and its custom chips business is now running above a $20 billion annual rate. Meta lifted its 2026 capex range to $125 billion to $145 billion.
These are the dollars feeding what Jensen Huang described on the earnings call as “Agentic AI has arrived, doing productive work, generating real value and scaling rapidly across companies and industries.” Laffont’s framework rests on that loop continuing for another decade.
The near-term price action disagrees
Most other mega-cap stocks are up by double digits, though some are treading water. Prediction markets on Polymarket are pricing in a 98.8% probability that Nvidia closes lower today, and only a 23.5% chance the stock closes above $210 by month-end.
That gap between Laffont’s decade-long thesis and the week-to-week price action is the actual investment question. He told CNBC that “the longer dated capital is very, very important because I’m trying to figure out the index of the future ten years out,” which is partly why Coatue is pushing into private markets. He floated OpenAI, Anthropic, and SpaceX as candidates for the eventual $10 trillion crown, none of which sit in a public index today.
For investors who only have public-market access, the working assumption embedded in Laffont’s view is that one of the five names above keeps pulling the chain on agentic AI revenue. The hard part is that the company most likely to triple from here is also the company most exposed if hyperscaler capex ever moderates.
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