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Podcast

Alex Sacerdote - How to Invest Through Technology Cycles - [Invest Like the Best, EP.477]

Invest Like the Best with Patrick O'Shaughnessy

Source ↗ ← All highlights
  • Anthropic’s Enterprise Led Breakout
    • Anthropic emerged as a top foundational model contender because it focused on enterprise needs and maintained engineering continuity when many startups failed.
    • Whale Rock saw coding as the true revenue unlock after Claude Code became agentic and drove heavy token spend by developers. (Time 0:03:27)
  • Winning Allocation With Deep Diligence
    • Whale Rock won a large Anthropic allocation by building a 90-page deck using Claude to analyze the coding market and by cultivating a relationship with management.
    • That hands-on diligence turned into an outsized allocation in a high-conviction private round. (Time 0:14:53)
  • How Deep Modeling Landed Stripe Block
    • Whale Rock secured a large Stripe block in 2020 by deeply modeling TPV and take rates despite limited public data.
    • That underwriting let them buy a $100m seller block and hold into the public market. (Time 0:16:09)
  • Three Part Investment Framework
    • Whale Rock’s investment framework is S-curve, competitive advantage, underappreciated earnings power which lets them buy dominant tech early at low P/Es.
    • They model multi-year exponential earnings growth to justify purchases like NVIDIA at 4x earnings. (Time 0:19:36)
  • See Adoption Signals In Person
    • Look for visual or conference signals at inflection points because data can lie during strategic shifts; go see product usage and standing-room-only sessions.
    • Whale Rock uses Gartner and symposiums to spot enterprise demand before earnings show it. (Time 0:25:18)
  • Trim Software Bets Until AI Adds Revenue
    • Reduce legacy software exposure until AI monetization proves durable; Whale Rock sold much of its software book and was net short into 2024.
    • They realloced into chips and infrastructure where adoption and TAM were clearer. (Time 0:38:11)
  • AI Turned Hardware Into High Margin Growth
    • AI is causing a hardware renaissance: decommoditization across PCBs, HBM, liquid-cooled racks, and networking is creating durable, high-margin suppliers.
    • Whale Rock found suppliers like Celestica and Elite Materials with multiyear ASP and margin tailwinds. (Time 0:44:41)
  • Rate Of Change Beats Static Share
    • Rate of change in AI exposure matters more than static market share because acceleration compounds margins and growth.
    • Whale Rock models shifts like 10% to 30% penetration as a structural margin inflection. (Time 0:52:13)
  • Apps Come After Infrastructure Proves Out
    • Application-layer winners lag the infrastructure surge because moats are unclear and apps must prove sustainable monetization.
    • Anthropic and OpenAI hit escape velocity first; apps may come later when integrations and selling motions mature. (Time 0:57:48)
  • Use AI To Be A Better Reporter Not A Replacer
    • Use AI to automate reporting and data collection but keep analysts focused on judgment and synthesis; AI should produce better notes, not final decisions.
    • Demand analysts to write the critical top-paragraph insight that AI cannot replicate. (Time 1:00:29)