Excess Returns
Excess Returns

Seeking Persistent Growth in Technology Investing with Deepwater’s Gene Munster and Doug Clinton

Finding companies that can sustain persistent growth over long periods of time can lead to exceptional returns. Those of us who have witnessed the returns of the great technology companies of the past decade have seen that firsthand. But identifying those companies in advance can be incredibly diffi

Featured Speakers

Excess Returns HostGene Munster GuestDoug Clinton Guest

Topics Discussed

Episode Summary

Executive Summary: Deepwater’s Gene Munster and Doug Clinton argue that tech has become more mainstream and durable, with the best opportunities coming from persistent growth companies that combine huge markets, strong products, and often profitability. They frame AI as internet-scale, favor investing in deeper layers of the stack, and emphasize conviction, valuation discipline, and identifying companies whose growth runway markets underestimate.

Main Topics: How tech investing has changed over 25+ years (Priority: 5/5): The hosts and guests discuss how technology moved from a high-risk fringe category to something investors can own more like a staple, especially in mega-cap names like Apple. Persistent growth as Deepwater’s core framework (Priority: 5/5): Deepwater’s central goal is finding companies with long growth runways that markets underappreciate, often requiring deep qualitative work rather than purely quantitative screens. Valuation, time horizon, and margin of safety (Priority: 4/5): They explain why Deepwater focuses on a 3–5 year horizon, not just next quarter or 10 years out, and why some seemingly expensive growth stocks can be cheap over that period. AI as a multi-layer platform shift (Priority: 5/5): The guests outline five AI layers—compute, cloud, model, data management, and interface—and argue the most value may be in compute and enabling infrastructure rather than the user-facing app layer. Robotics, autonomy, and electrification (Priority: 4/5): They say robotics and self-driving progress has been slower than hoped, but AI may accelerate it; they also point to logistics and battery/electrification opportunities. FinTech and international convergence (Priority: 4/5): FinTech is framed as durable because money and transaction infrastructure will always matter, with emerging markets likely adopting proven digital models years after developed markets. Metaverse and immersive computing (Priority: 3/5): Despite skepticism, they remain bullish on future immersive platforms beyond mobile, citing gaming, TikTok-style engagement, and eventual mixed reality as supporting evidence.

Key Arguments: Technology investing is now more mainstream and retail-driven, leading to bigger swings and requiring a stronger stomach than in earlier eras. Mega-cap tech can be viewed as consumer staples because of active install bases and recurring services, which explains resilience even after disappointing quarters. Persistent growth stocks outperform because the market often underestimates how long major trends like smartphones, e-commerce, and cloud can compound. The best growth opportunities usually combine a huge market, a 10x-better product, and customer love—sometimes also profitability, which signals demand and pricing power. Growth investors should prioritize 3–5 year valuation, because that window is long enough for business fundamentals to matter but short enough to avoid extreme forecasting error. AI is likely as important as the internet, but the biggest economic value may accrue in compute, networking, and infrastructure rather than in the interface layer. Interest rates matter for all assets, but strong persistent growth and expanding margins can offset multiple compression over time. Robotics and autonomy are technically and socially slower to scale than many expect, with regulation, safety, and public perception as major constraints. FinTech keeps working because it removes friction from commerce; emerging markets often provide the next wave of adoption for proven models. Conviction is rare and power-law returns dominate: a handful of great ideas drive most long-term performance.

Data Points: Apple and Amazon stock performance since 2011: ~10X each - Used as examples of persistent growth far outpacing the market over a long period. S&P 500 performance since 2011: ~3X - Benchmark comparison against Apple and Amazon’s longer-term returns. Apple active install base: Referenced as a key reason the market now views Apple more like a consumer staple - Illustrates the shift from hardware products company to services/staples-like business. Global population in Latin America and the Caribbean: ~670 million people - Used to explain the addressable market for Nubank. Share of world population in Latin America and the Caribbean: ~9% - Supports the argument that Nubank’s market can be much larger than many assume. Inflation rate: ~5% to 5.5% - Munster says they currently think inflation is running at this level. Long-run inflation view: Sub-3% - Their view is that inflation will eventually get under control, likely over roughly two years. NVIDIA growth assumption: ~30% annualized growth for several years - Used to describe why Deepwater sees the stock as having wild expectations priced in. Amazon fulfillment center output: 8,000 to 10,000 packages per day per person - Doug Clinton cites this as an example of repetitive manual labor still ripe for automation. Emerging-market technology lag: ~5 to 15 years behind developed markets - Rule of thumb for how long it can take digital innovations to diffuse internationally. Autonomous vehicles timeline: Still more than 5 years away for widespread adoption - Doug says he’d bet it’s not near-term despite progress. Deepwater / Loop history: 6 years - Doug references the firm’s origins when discussing earlier expectations for autonomous vehicles. Historical bubble comparison: 1997-2000 dot-com intensity - Used to contrast today’s AI enthusiasm with the more explosive KTEL/.com era. Conviction frequency: About once a year if lucky - Doug argues investors should expect conviction to be rare and focus on only a few great ideas. Power-law idea: A dozen investments over an 80-year career - Attributed to Buffett’s perspective on how a small number of ideas drive most returns.

Pivotal Quotes: "tech has gone from kind of the fringe to more of the mainstream to the ultimate mainstream, which is consumer staples" — Gene Munster: On how technology investing has evolved and why mega-cap tech feels safer today. "We think it's internet level innovation." — Gene Munster: On the significance of AI relative to historical technology shifts. "set yourself up in a way such that you can find conviction" — Doug Clinton: On the importance of process and identity in becoming a successful investor.

Implications: Listeners should focus on durable growth, not hype: identify huge markets, real product demand, and time horizons where value can compound. In AI and tech, value may accrue in infrastructure and enabling layers more than flashy interfaces.

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About Excess Returns

Excess Returns is dedicated to making you a better long-term investor and making complex investing topics understandable. Join Jack Forehand, Justin Carbonneau and Matt Zeigler as they sit down with some of the most interesting names in finance to discuss topics like macroeconomics, value investing, factor investing, and more.

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