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All-In Summit: Bill Gurley presents 2,851 Miles

All-In Podcast · talk · Watch on YouTube

Tech industry & business modelsLaw, policing & justiceInvesting & personal finance

What it is

Bill Gurley's talk at the All-In Summit 2023, titled 2,851 Miles after the distance between Washington and San Francisco. He describes how incumbents use lobbying and regulation to entrench themselves, followed by a conversation with the hosts.

Why Hacker News recommends it

HN commenters repeatedly recommend it as the clearest explanation of regulatory capture, and cite it in threads on AI regulation, GDPR and telecom.

  • 5 people recommended it
  • 6 different months
  • 3 strong recommendations
  • first 2023, last 2026

What HN commenters said

  1. “it's worth watching the entire Bill Gurley talk at the recent All-In Summit”

    Bill Gurley's talk on regulation and incumbents.

    nycdatasci, 2023-09 · Strong recommendation · in “Saint Helena Island Communications”

  2. “I strongly encourage watching Bill Gurley's talk from the All-In Summit”

    Gurley on what happens when Congress regulates technology.

    filereaper, 2023-10 · Strong recommendation · in “Congress Should Regulate Artificial Intelligence”

  3. “Great way to understand how all this works is watching All-In Summit: Bill Gurley presents 2,851 Miles”

    Explains how incumbents use regulation against competitors.

    WestCoastJustin, 2023-11 · Recommendation · in “Establishment of the U.S. Artificial Intelligence Safety Institute”

  4. “I recommend watching Bill Gurley's talk [1] on regulatory capture from 4 months ago.”

    Covers why fixing regulated industries is so difficult.

    miketery, 2024-01 · Recommendation · in “Everyone hates the electronic medical record”

  5. “Would recommend Bill Gurly's talk about regulatory capture if anyone is interested”

    Gurley's talk on regulatory capture.

    shivasaxena, 2025-07 · Recommendation · in “EU Commission finds Temu in breach of online platform rules”

Excerpts from Hacker News comments, linked to the originals. Summaries and labels were written by a language model from those comments.

Topics: regulation, lobbying, incumbents, ai policy, venture capital

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