Gavin Baker – Tech and Consumer Growth Investing - [Invest Like the Best, EP.149]

Episode Summary

Executive Summary: Patrick O’Shaughnessy interviews Gavin Baker of Atreides about a long-horizon, disruption-focused growth investing framework. Baker argues tech and consumer are the richest hunting grounds for alpha, especially around Apple, Facebook, video games, AI, AR/VR, and regulation-driven winner-take-most dynamics.

Main Topics: Long-horizon growth investing (Priority: 5/5): Baker invests like a business owner, focusing on five-to-seven-year outcomes and disruption. Apple as a platform case study (Priority: 5/5): Apple's resale value, wearables, and search ambitions frame his current bull thesis. Video games as social networks (Priority: 5/5): He sees games as durable, monetizable social platforms that will anchor the metaverse. AI, mobile, and disruption waves (Priority: 4/5): He links semiconductors, internet, mobile, and AI as sequential platform shifts. Value investing under pressure (Priority: 4/5): He argues scale, data, and regulatory capture have weakened mean reversion. Alternative data and informational edge (Priority: 3/5): He views alt data as table stakes, useful but rarely durable as a moat. China and global tech learning loops (Priority: 3/5): China's super-app ecosystem matters as a preview of future U.S. internet behavior.

Key Arguments: Five-to-seven-year horizons let him underwrite business outcomes, not valuation noise. Tech and consumer are most alpha-rich because disruption creates big dispersion. Apple's used-iPhone market supports premium pricing with lower effective consumer cost. Apple's wearables and search ambitions could extend the iPhone into an edge server. Video games are social networks, not hit-driven products, so franchises are sticky. AI quality scales with training data, favoring large platforms with dominant data access. Value has struggled because scale, regulatory capture, and data feedback loops reduce mean reversion. Alternative data is now table stakes, but not a lasting moat unless it's proprietary at massive scale. Chinese internet companies are important mainly as a preview of how U.S. platforms may evolve.

Data Points: time horizon: five to seven years - Baker's preferred investing window for forming durable theses Apple iPhone effective price example: $1,000 - Illustrative headline price used in the used-iPhone comparison Apple iPhone trade-in example: $400 - Value captured from an 18-month-old iPhone in trade-in economics Android trade-in example: $150 - Used to show Apple's lower effective consumer price versus Android Internet time vs ad revenue: 35% of consumer time spent, 23% of advertising revenue - Mary Meeker slide referenced in the Facebook framework Facebook U.S. ad share in 2012: just under 4% - Used to argue ad dollars would catch up to attention share Facebook U.S. revenue in 2012: $5 billion - Starting point for his early valuation model Facebook implied U.S. ad revenue model: $11 billion - Derived from attention-share-based thinking Facebook implied global revenue model: $35 billion - Extrapolated from global ad market share assumptions Global ad market: $550 billion - Used to scale Facebook's potential revenue Facebook free cash flow estimate: $14-$15 billion - Based on $35 billion revenue and assumed margins/tax Global video game population: more than 10xed - Growth over the last 10 to 15 years Mobile game monetization: 8 to 10 cents an hour - Approximate monetization for average mobile games Console/PC game monetization: 50 cents per hour - Approximate monetization for average console or PC games Cable channel monetization: 85 to 90 cents per hour - Benchmark for highly monetized cable content High engagement monetization: $2 to $3 an hour - He cites this as a plausible long-run gaming monetization level Tech alpha-richness score: 10 - His subjective ranking of sectors for alpha opportunities Consumer alpha-richness score: 7 - His subjective ranking of sectors for alpha opportunities Health care alpha-richness score: 5 - His subjective ranking of sectors for alpha opportunities Best-selling franchise streak: Call of Duty every year except when a Rockstar game wins - Used to argue franchise durability in games Twitter-era tech adoption: 2012 - Year he first built the Facebook thesis after the IPO Intel/TSMC node lead: 6 to 9 months on average - He says Intel's historical manufacturing lead was this much Embedded semiconductor advantage: 15 to 20% - Estimated benefit from being first to next node Competitiveness swing: 20 to 30% - Result of Intel losing its lead to TSMC in 2018 Quarterly review sensitivity: losses in expensive stocks count against you more than losses in cheap stocks - His view of career risk in asset management

Pivotal Quotes: "I think we are living through a period of accelerated change." — Gavin Baker: Explaining why he sees current markets as analogous to the Industrial Revolution "My job is not to predict the future. It's simply to notice the present first." — Matt Kohler quote referenced by Gavin Baker: Used to describe his framework for spotting investable shifts early "I think it is inevitable that a majority of people will spend a majority of their waking hours in virtual worlds within our lifetimes." — Gavin Baker: His long-term thesis on the metaverse and video games

Implications: The open question is which platforms capture the next layer of value; investors should watch data, distribution, and regulation rather than short-term multiples.