Alex Sacerdote – Riding S-Curves at Whale Rock (EP.436)

Episode Summary

Executive Summary: Alex Sasserdote traces his path from early market exposure through Fidelity to founding Whale Rock, explaining a tech-investing framework built on S-curves, competitive advantage, and underappreciated earnings power. He applies it to AI, MAG-7, EVs, cloud, privates, shorts, and crypto, arguing that major innovation cycles create durable long-term winners and losers.

Main Topics: Early investing influences and Fidelity apprenticeship: Sasserdote describes how his father, a Goldman Sachs partner, and early reading of Barron's shaped his interest in stocks, then explains how Fidelity taught him research rigor, concise pitching, and the range of investing styles. Whale Rock’s core investment framework: He lays out the firm's three-part framework: identify an S-curve, find a strong competitive advantage, and estimate underappreciated earnings power that becomes obvious only several years out. AI as a new multi-decade S-curve: Sasserdote argues AI is still early, with infrastructure the safest and most analyzable layer, and that rising inference demand and large capex spending support further upside. MAG-7 and concentration in digital platform winners: He says market concentration reflects the digital economy, not a bubble, and that the MAG-7 remain attractively valued and positioned to benefit from AI through revenue growth, cost savings, and distribution. Short ideas, false starts, and S-curve discipline: He explains how the same framework helps identify shorts in mature disrupted businesses, too-early technologies, or weak competitive positions, with EVs and AR/VR as examples of missed or premature trends. Private markets and late-stage growth investing: Sasserdote discusses investing in late-stage private companies because firms stay private longer, and names Stripe, Canva, Databricks, and Revolut as key private holdings aligned with the framework. Volatility, humility, and long-term firm building: He emphasizes that tech investing is cyclical and volatile, but that staying disciplined through drawdowns, maintaining humility, and building institutional durability are essential to long-term success.

Key Arguments: Exposure to great investors and companies early in life can create durable investment instincts; Sasserdote credits his father and Fidelity for his development. The best tech investing can be framed as finding an S-curve, then the right winner within that curve, then earnings power that the market is not yet capitalizing. Tech innovation cycles tend to compound: PC, internet, mobile, cloud, and AI each expand the addressable market rather than exhaust it. AI infrastructure is the most attractive current opportunity because it is first in the stack, easier to analyze, and likely benefits regardless of which model or application wins. The MAG-7 are not simply a bubble; their dominance reflects the economics of digital platforms, and many still trade at reasonable valuations relative to earnings. Shorts in tech often come from three cases: mature businesses being disrupted, weak players in good markets, or technologies that are real but far too early. Private-market exposure is necessary because public investors need visibility into companies that stay private longer and may still become public-scale winners. Tech volatility is unavoidable, so investor success depends on process discipline, investor alignment, and the willingness to endure multi-year drawdowns. Strong management matters most when paired with innovation culture and the ability to create successive S-curves, as seen in Amazon, Tencent, and Apple.

Data Points: Whale Rock assets under management: $8 billion - Technology-focused investment firm managing hedge fund, long-only, and hybrid strategies Years at Fidelity: 6 years - Sasserdote says he spent the next six years there after starting in the business Whale Rock team size: 10 people - He says the firm has a team of 10 conducting research Annual management meetings: 2,500 face-to-face meetings - Used to support the Whale Rock Learning Machine research process Whale Rock history: 18 years - Length of the firm's operating history referenced in the interview Tesla purchase timing: End of 2019 and 2020 - He cites buying Tesla around the EV inflection Tesla valuation example: About 4x earnings three years later - He says Tesla was bought at roughly four times the earnings it would later earn NVIDIA purchase timing: January 2023, after ChatGPT - He cites loading up on NVIDIA after ChatGPT emerged NVIDIA valuation example: About 4x this year's earnings - He says NVIDIA was purchased at roughly four times current-year earnings S-curve penetration level: 30% to 40% - He says exponential growth often becomes more linear beyond this penetration range Cloud market size estimate: $600 billion spend - Traditional enterprise IT spend estimate for cloud's addressable market Cloud adjusted estimate: $300 billion - Their initial assumption after applying a 50% deflationary view AWS revenue at the time: $1 billion - Referenced when sizing the cloud opportunity AI infrastructure penetration: About 14% - He says AI infrastructure is still early in its S-curve Cloud penetration in AI stack: 3% to 4% - He says the cloud portion of AI is still very early Meta AI sales lift estimate: $50 billion to $70 billion - He attributes extra sales to Meta from AI-driven advertising improvements Top 10 portfolio concentration: 60% - He says the top 10 holdings typically represent 60% of the fund Single-position size: Up to 10% at cost, then 15% - Position sizing policy for larger names Private portfolio concentration: 55% of private capital in four companies - Four iconic leaders make up most of the firm's private investments Private capital commitment: About 10% - He says private holdings are around 10% of total capital Driverless miles driven: 1 basis point - He says autonomous taxis are still at a tiny penetration rate EV adoption in the U.S.: About 10% penetration - He says the U.S. EV curve hit a wall around this level Amazon valuation: 25x next year street EPS - Used to argue the MAG-7 are not uniformly expensive Meta valuation: About 22x earnings - Current relative valuation cited in the discussion Microsoft valuation: About 26x earnings - Current relative valuation cited in the discussion

Pivotal Quotes: "the leader grows bigger, faster, and wins." — Alex Sasserdote: Describing the key lesson from his early Amazon work and the dynamics of digital markets "We feel good about that because these changing models, particularly with inference reasoning, have these models where you ping it and then the model thinks and reasons against itself, checks its work, does a multi-part question, and it might ping the model 100 or 1,000 times." — Alex Sasserdote: Explaining why AI infrastructure demand may be larger than expected "At the top, just realize you're not as smart as you think you are. When you're at the bottom, you're not as dumb as you think you are." — Alex Sasserdote: His summary of humility and emotional discipline in volatile tech investing

Implications: Listeners should expect tech leadership to remain concentrated but dynamic, with AI infrastructure, select platform giants, and certain privates offering the best risk-reward. The broader lesson: process, research depth, and patience matter more than short-term sentiment.