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David Sacks: AI Will Create More Jobs, Not Destroy Them

May 28, 2026 / 01:24

This episode discusses the impact of AI on knowledge workers, featuring Sach and referencing Erin Levy's post on Jevans paradox. Topics include the increasing demand for software development and radiology jobs despite fears of AI job loss.

Sach argues that AI will not decrease the need for knowledge workers but will actually increase it. He cites Jevans paradox, which states that as the cost of a resource decreases, the demand for it increases due to more use cases being discovered.

He provides examples such as software development, where the cost of generating code is dropping, leading to more software being produced. Additionally, he mentions radiology, where the number of radiologists is rising, contrary to the belief that AI will replace them.

Sach emphasizes that while AI can assist in fields like radiology, human professionals are still needed for interpretation and validation, resulting in more efficient processes and better outcomes.

Overall, the episode challenges the narrative of job loss due to AI, suggesting that it may lead to job gains instead.

TLDR

AI will increase demand for knowledge workers, not decrease it, according to Sach and Erin Levy's Jevans paradox.

Episode

1:24
00:00:00
Sach got a contrarian belief for 2026. >> Yes, AI will increase demand for
00:00:05
knowledge workers, not decrease it. I would refer you to Erin Levy's post called Jevans paradox for knowledge
00:00:11
workers. And the point of Jevans paradox is that as the cost of a resource goes down, the aggregate demand for it
00:00:19
actually increases because you discover more and more use cases. So I think this
00:00:23
will certainly happen with code. In the past, it's been very expensive to generate code. You have to hire
00:00:28
engineers. there's not enough of them. It's an expensive resource. So the
00:00:32
amount of software generated in the economy was limited by that. I think it's going to increase massively now
00:00:36
because the cost of generating code is coming down so much. But there's other
00:00:40
examples too. You take a field like radiology that's frequently cited as a profession that AI is going to put out
00:00:45
of business. That's not what the data shows. The data shows that the number of
00:00:48
radiologists is increasing. Why? Because the number of scans that people want to
00:00:52
make is increasing. And it's true that AI can do some of the work, but you still need a doctor to prompt the AI, to
00:00:58
interpret the AI, to validate it. So you get more efficient. The cost of scans goes down and instead of it being a
00:01:03
super specialtity that happens very rarely that you need a referral on top of a referral to get, it becomes
00:01:09
something that's normalized and everyone starts doing it and you start getting
00:01:12
more and more scams that leads to better and better outcomes. I think there's
00:01:15
going to be a lot of those examples through the economy and we're going to look back and see that the job loss
00:01:20
narrative was not only wrong but we actually got job gains.

Episode Highlights

  • Radiology's Future with AI
    AI won't eliminate radiologists; it will increase their demand as scans become more common.
    “The number of radiologists is increasing.”
    @ 00m 47s
    May 28, 2026

Episode Quotes

  • The job loss narrative was not only wrong but we actually got job gains.
    David Sacks: AI Will Create More Jobs, Not Destroy Them

Key Moments

  • Jevans Paradox00:11
  • Increasing Demand00:17
  • Radiology Insights00:40
  • Job Gains01:20