Another Podcast The end of the network effect
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Feb 28, 2026 They debate whether generative AI actually has network effects and why that matters for who wins. Conversation covers scale, capex and whether models become mere infrastructure or full platforms. They examine vertical integration, branding and distribution as potential advantages. The talk highlights the unstable landscape created by undifferentiated models and competing routes to product leverage.
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Scale Doesn’t Guarantee Platform Control
- Massive CapEx and infrastructure spending create scale economics but may not translate to platform-level control.
- Benedict Evans compares potential AI hyperscalers to cloud providers where the stack is abstracted away from app developers and users.
Foundation Models Don’t Ensure Ecosystem Dominance
- Being the foundational model provider doesn't automatically make you the dominant platform for apps built on top.
- Evans asks how OpenAI or Anthropic can outcompete thousands of entrepreneurs and incumbents building on the models.
Vertical Integration Doesn’t Imply Defensibility
- Vertical integration in AI doesn't automatically create the same network effects seen in Apple or Google.
- Evans notes owning the full stack lacks the unique flywheel that made past tech giants defensible.