“The Mag 7’s Market Cap Is Going to $100 Trillion. But One of Them Is Going Extinct.”
One veteran hedge fund manager believes the Magnificent 7 will grow into one of the most dominant forces in financial history, yet predicts that one or two of those companies will vanish entirely before the race is over.
Gavin Baker, chief investment officer of Atreides Management, laid out his view of where AI creates value and where it destroys it during a panel at a Future Investment Initiative event. CNBC notes that Baker was an early SpaceX investor in an interview published July 20, 2026.
Baker’s compares the Mag7 to world record holders in different events, who have now all been thrown together into the same event, namely the AI race. And in Baker’s view the race for ASI, is like the game of thrones, you win or you die.
“The aggregate [Mag 7] market cap, which today is probably $10-12 trillion, will for sure go to $50 to 100 trillion. But one or two of those companies will go extinct,” Baker said.
Where Baker Sees the Bubble
Baker draws a hard line between the two layers of AI. “I would say there’s a massive bubble, from my perspective, at the application layer,” he said, adding that “at the beginning of any new technology, the infrastructure layer is the safest place to be.” That is a more specific position than the usual bubble-or-no-bubble argument: bullish infrastructure, bearish applications.
Baker Predicts Only Three Survivors at the Application Layer
Baker argues, “The only foundation model companies, at the application layer, that will have enterprise value in 5 years are Google, Meta, and xAI, the reason for this is it is very clear that these models are converging on similar levels of IQ, and then as scaling laws continue, if they continue, which is the most important question in the world, they will compound their IQ at about the same rate. So what’s going to differentiate them? It is having access to unique data. The three companies that have unique data are Meta, Google, and xAI by virtue of their partnership with X. However, at the infrastructure layer there is no bubble.”
Walk the chain: models converge on similar capability, scaling laws compound that capability at similar rates across competitors, capability itself stops being a differentiator, and unique data becomes the only remaining moat. Baker’s own hedge is that whether scaling laws continue is “the most important question in the world.” The survivor list is conditional on that answer.
Reading the Survivors Through Their Numbers
Alphabet (NASDAQ:GOOGL | GOOGL Price Prediction) has been monetizing exactly the ingredients Baker names. Q2 FY26 revenue reached $119.80 billion, up 24.2% year over year, with Google Cloud revenue accelerating to 82% growth at $24.77 billion. CEO Sundar Pichai said “nearly 90% of the Fortune 100 using” Gemini Enterprise, and Gemini models process 22 billion API tokens per minute with the Gemini App at 950 million monthly active users. The primary data trail sits in Alphabet’s Q2 2026 earnings exhibit filed with the SEC.
Meta (NASDAQ:META) offers the clearest version of Baker’s unique-data thesis. Q2 FY26 revenue was $60.80 billion, up 28% year over year, and Susan Li told analysts Meta reaches 3.6 billion users across its family of apps. Meta Business Agents were used by more than 1 million businesses weekly on WhatsApp and Messenger in Q2 2026.
Rivian as Baker’s Precedent
Baker pointed to the electric vehicle bubble as his analogy, saying he predicted in 2021 that Rivian would go to zero, and that while it did not quite reach zero it came close enough. Our verification supports the characterization: Rivian (NASDAQ:RIVN) shares have fallen 91.29% from $172.01 on November 16, 2021 to $14.99 as of September 18, 2026.
Baker’s Closing Line
He ends where the logic ends: “all application software companies are bets against ASI.” If artificial superintelligence arrives, software built to be used by humans gets subsumed, and owning application software becomes an implicit wager that the thing every lab is explicitly building does not.
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AJ spent 10 years writing about financial markets at The Motley Fool. His coverage centers on technology stocks and the broader macroeconomic trends, from interest rates to geopolitics, that shape where markets are headed next. AJ is drawn to the stories where big-picture economics and individual companies collide.
