
Sep 10, 2026 · 49 min
AI pushes venture beyond software and toward bigger power laws
How AI Is Rewriting the Power Law of Venture Capital
The episode argues that AI is widening the investable economy while making access, timing, and portfolio construction more consequential.
- 1AI can address labor, healthcare, services, transportation, and infrastructure markets beyond traditional software.
- 2Venture returns increasingly depend on consistent access to category-defining companies, disciplined timing, and sufficient portfolio sizing.
- 3Investors must separate genuine customer traction from inflated AI metrics while weighing high valuations and delayed liquidity.
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The guests make the case that long holding periods can be rational when category-defining companies compound dramatically over time.
The brief
Jen Kha hosts David George and Aram Viridian on how AI could intensify venture’s power law while creating technology markets far beyond software.
The guests argue that AI’s addressable market includes labor, healthcare, services, transportation, and physical infrastructure, opening room for both applications and infrastructure winners.
As capital concentrates among specialized early-stage firms and large lifecycle platforms, access and portfolio sizing become central to capturing category-defining companies.
The practical test for young AI companies is whether customer demand and founder judgment reveal durable traction rather than inflated metrics.
The strongest case for venture rests on compounding: long holding periods and limited liquidity may be worthwhile when category-defining companies keep expanding.
Listen to the full episode and explore every guest, topic, and moment on PodLume.

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