Subvolts take AI's success could crash markets. Sorkin explains the risks and parallels to 1929. Mar 18, 2026
For you
Business
Understand how AI's rapid progress could create systemic economic risks and disrupt industries, impacting financial markets and business stability.
Everyday users
Learn about the potential negative economic consequences of advanced AI, including job market disruption and financial instability, and how it might affect society.
Hype note
3/5Notable

This episode features a respected financial journalist discussing AI's potential systemic economic risks, offering a critical perspective.

Are We Screwed If AI Works? — With Andrew Ross Sorkin

1 h 05 Interview Hosts: Alex Kantrowitz
0:001:05:23

Audio streams from Alex Kantrowitz. Your place is remembered on this device.

From Subvolts

Summary and analysis by Subvolts editorial, AI-assisted.

Summary

Andrew Ross Sorkin joins the Big Technology Podcast to discuss AI's potential impact on the economy. They explore if AI's success could trigger a market crash through labor shocks or software disruption, drawing parallels to the 1929 crash. The conversation also touches on private credit risks and the potential economic benefits or consequences of advanced AI.

Explained simply

This episode asks if AI becoming very good could cause a big economic problem, like a market crash. It compares this to the 1929 stock market crash, discussing how AI might affect jobs and businesses.

Why listen

This episode is for anyone concerned about AI's broader economic implications beyond immediate product development. It connects current AI advancements by labs like OpenAI and Google Gemini to potential large-scale market instability. Listeners will understand how AI's rapid progress could disrupt labor markets and software industries, leading to unforeseen financial consequences. It offers a critical perspective on AI's future, urging listeners to consider its systemic risks.

On the mic
  • HostAlex Kantrowitz
  • GuestAndrew Ross SorkinAnchor, CNBC
About
Key facts
  • Guest: Andrew Ross Sorkin
  • Show: Big Technology Podcast
  • Length: 65 minutes
  • Topic: AI's potential to cause a market crash via labor shock or software disruption
  • Historical Parallel: 1929 market crash
Show notes from Alex Kantrowitz

Andrew Ross Sorkin is an anchor at CNBC, columnist at The New York Times, and author of 1929, a bestselling book about the worst market crash in history. Sorkin joins Big Technology Podcast to discuss whether AI achieving its potential could lead to a similar crash, either via a labor shock or the disruption of software. Stay tuned for the second half where we discuss private credit risks, prediction market gambling, and the SpaceX IPO. Hit play for a dynamic conversation about where AI could lead, and its potential economic benefits or consequences.


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Chapters:

0:00 Introduction

3:37 Could AI's Success Cause a Market Crash?

7:02 The Mass Unemployment Question

34:39 Private Credit Explained

39:09 Private Credit Alarm Bells

42:43 The AI Debt Risk

47:14 The Prison of Financial Mediocrity

54:38 Could We Have a 1929-Scale Crash?

56:11 Fed Independence

1:03:08 The SpaceX IPO

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Jargon decoded
labor shock
Andrew Ross Sorkin
a sudden, large change in the availability or cost of workers
private credit
Andrew Ross Sorkin
loans made by non-bank financial institutions, often to companies
Published
Show
Big Technology Podcast · Alex Kantrowitz
Length
1 h 05
Companies
OpenAI, Google
Summary by
Subvolts, using an AI model (how we work). Spotted a mistake? Tell us.

Questions people ask

Could AI's success lead to a market crash?
Andrew Ross Sorkin discusses whether AI achieving its potential could lead to a market crash, potentially through a labor shock or software disruption.
What historical event is AI's potential economic impact compared to?
The episode draws parallels to the 1929 market crash, exploring if AI's disruption could cause a similar scale of economic downturn.

Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Alex Kantrowitz.