Technology adoption follows S-curves, where identifying the inflection point of exponential demand enables superior investment returns. Alex Sacerdote, founder of Whale Rock Capital, emphasizes that predicting long-term earnings power requires understanding these adoption cycles alongside rigorous analysis of competitive moats. Anthropic currently represents a high-conviction position, driven by its enterprise-focused AI models and coding capabilities that demonstrate significant productivity gains. Beyond foundational models, the AI revolution is triggering a "decommoditization" of hardware, where extreme compute intensity creates massive, high-margin opportunities in chips, networking, and power infrastructure. While software incumbents face potential disruption from AI-native agents, the most resilient platforms are those with deep network effects. Whale Rock’s investment process prioritizes direct, "scuttlebutt" research—conducting thousands of management meetings annually—to validate these theses and maintain conviction through market volatility.
Part 1: AI Market Dynamics, S-Curves
Part 2: Competitive Moats, Software Disruption
Part 3: Hardware, Infrastructure, Risks
Part 4: Research, Methodology
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