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"This feels like 1996": Why a16z's Martin Casado believes the AI boom still has years to run (General Partner)

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Martin Casado has lived through multiple tech waves—first as a founder, now as a16z’s leading voice on AI and infrastructure. He helped pioneer software-defined networking, then moved from academia to entrepreneurship, and today backs founders building at the frontier of technology as a General Partner at Andreessen Horowitz. In this conversation, Martin shares his unique perspective on the AI boom, his market-first investment philosophy, and why he believes we’re still in the early days of AI’s impact.

We explore:

  • Martin’s path from game engines and simulations to investing at Andreessen Horowitz

  • Why Martin believes we’re only in “1996” of the AI boom cycle with years to run before any bubble

  • Why Martin approaches investing “from markets in” rather than “from companies out”

  • Why the AI coding market represents a potential $3 trillion opportunity

  • The transformation of Andreessen Horowitz from a small generalist partnership to a specialized 600-person organization

  • The concerning dominance of Chinese companies in open source AI models

  • Why Martin thinks AGI discussions encourage “lazy thinking” and obscure meaningful conversations

  • How World Labs is solving the 3D representation problem that could unlock robotics, VR, and more


Explore the episode

Timestamps

(00:00) Intro

(04:50) Martin’s early career

(08:35) Martin’s shift from academia to founding his own company during an economic downturn

(11:25) The story behind Martin joining Andreessen Horowitz

(17:55) Ben Horowitz’s most impactful advice

(19:49) How Andreessen Horowitz has transformed since 2016

(22:20) Why product experience matters more than technical prowess for infrastructure investing

(26:26) Martin’s market-first investment philosophy

(28:39) Andreessen Horowitz’s framework for assessing founders and startups

(33:14) Why Martin thinks Hock Tan may be the best CEO today

(35:18) The controversy around non-consensus investing in early stages

(38:42) Why today’s AI boom reminds Martin of the mid-’90s tech environment

(44:38) How today’s AI boom differs from 2021’s tech bubble

(47:10) Why the promise of AI in organizations remains largely unrealized

(50:29) How Martin uses AI for coding and as a reading thought partner

(52:56) Why Martin doesn’t use AI for

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