Gene Munster Put 70% of His Money In AI —What He's Buying Now
Gene Munster has bet 70% of his personal wealth on AI — and he thinks he's actually *underweight*. But the longtime tech bull is now selling half his Nvidia position, avoiding Microsoft entirely, and warning that a third of all software companies could face disruption from AI-driven unemployment. Where is he deploying capital instead, and what does his shift from mega-cap infrastructure to sub-$500 billion AI plays signal about the next phase of this megatrend? Most provocatively: can Apple — which has yet to prove any AI competency — dethrone ChatGPT and become the personalized AI winner?
Points clés
Munster has 70% of his net worth in AI-related investments and believes he's still underweight given the transformation ahead, targeting 15% knowledge-worker unemployment as AI agents proliferate.
The next phase of outperformance will come from sub-$500 billion market cap companies rather than mega-cap tech, though selective big tech exposure — especially Nvidia, Apple, and Alphabet — remains essential.
Seat-based software faces a 35% probability of serious disruption as AI agents allow one human license to control hundreds of agents, pressuring renewal rates and expansion at companies like Salesforce and Microsoft.
Apple's June Siri overhaul represents a critical moment: success could rerate the stock significantly, but investors will grant extended patience as long as no competitor releases a killer AI device first.
Inference computing — the «thinking» part of AI — will be hundreds of thousands of times larger than training, keeping infrastructure plays like Nvidia and Amazon's AWS relevant for years despite near-term volatility.
En bref
Munster believes we're only in the second inning of AI transformation, but the winning trade is shifting from infrastructure giants to smaller, sub-$500 billion companies focused on personalized AI, usage-based software, and physical AI — with Apple positioned as the dark horse that could rerate dramatically if it delivers on Siri's ChatGPT-level overhaul this June.
The Big Shift: Why Munster Sold Half His Nvidia Position
Infrastructure still matters, but the real upside is migrating elsewhere.
Gene Munster's Deepwater Asset Management recently sold half its Nvidia stake — a signal that even infrastructure bulls are repositioning. Munster still owns the stock and considers infrastructure «significant,» particularly as inference computing (the thinking part of AI) scales to become hundreds of thousands of times larger than training workloads. Nvidia will benefit, but the position is now «smaller» and «material» rather than concentrated.
The calculus reflects a nuanced view: if we're truly in the second inning of AI, the basket approach that worked in 2023–2024 is giving way to selectivity. Munster argues investors can fractionally outperform the Nasdaq by owning selective big tech, but «the real upside is going to come from these smaller companies, these companies that are 500 billion in enterprise value and less.» He's not abandoning mega-cap — he's rebalancing toward where exponential growth remains possible.
Munster also owns Amazon for its AWS exposure and «compelling valuation,» but pointedly avoids Microsoft. The distinction: Amazon benefits from inference infrastructure, while Microsoft's seat-based software model faces existential questions. Munster puts a 35% probability on AI coding and agents seriously disrupting companies that charge per human seat, as one license could soon control hundreds of AI workers.
«70% of my net worth is in something AI related. I'm probably underweight.»
Munster's personal conviction reveals the scale of transformation he expects.
“I would say that 70% of my net worth right now is in something AI related. And I think I'm probably underweight, given, the significance.”
The Two Themes Driving Munster's Portfolio
The Apple Bet: A High-Stakes June Catalyst
Siri's ChatGPT-level overhaul could rerate the stock or trigger a 10–15% selloff.
Munster recently added to his Apple position based on a bet that personalized AI will transform the company's trajectory over five years. The catalyst: a major Siri overhaul codenamed «Apple Intelligence,» expected in June, that aims to compete directly with ChatGPT and Gemini while leveraging personal context and privacy. Bloomberg's Mark Gurman has reported specifics suggesting Siri will become a true AI assistant, not just a voice interface.
The bar is high. Apple «has not shown that they have competency in AI,» Munster admits, and there's «not a must-have» feature in Apple Intelligence today. If the June launch falls flat, the stock could drop 10–15%. But Munster believes investors will grant Apple extended patience — «as much time until some other competitive AI device really captures the imagination of investors» — because Apple and Google are the only two companies positioned to solve personalized, privacy-preserving AI at scale.
Munster's conviction is striking: in rapid-fire questions, he chose Apple over Alphabet, picked AI Siri over ChatGPT, and named Apple as both the stock that «hasn't had its moment yet» and the one AI stock he'd hold for the next 12 months. The thesis: if Apple delivers, the rerating will be dramatic. If not, the market will wait for the next attempt.
Why Munster Is Avoiding Seat-Based Software
Vibe coding and AI agents threaten subscription models at scale.
Key Investment Signals from the Rapid-Fire Round
Munster's quick answers reveal conviction on volatility, semis, and Apple's moment.
The Tesla Paradox: Personal Conviction, Zero Fund Exposure
Munster owns Tesla personally but not in Deepwater funds due to valuation.
The Tesla Paradox: Personal Conviction, Zero Fund Exposure
Munster owns Tesla in his personal account but not in Deepwater's funds — a telling split driven by «valuation sensitivity» among his management team. He urges skeptics to test-drive the latest Full Self-Driving software, noting «almost no interventions» compared to «multiple times a day» just months ago. His thesis: autonomy and Optimus robotics are underappreciated, traditional auto's pullback on EVs creates a Tesla opening, and autonomous vehicles will be electric-powered. He'd be a buyer below $400. The paradox reveals both his conviction in physical AI and the challenge of underwriting Tesla's valuation in institutional portfolios.
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