The New Jobs AI Will Create
The AI Daily Brief: Artificial Intelligence News and Analysis
Nathaniel Whittemore
4.7 • 763 Ratings
🗓️ 10 May 2026
⏱️ 31 minutes
🧾️ Download transcript
Summary
The AI jobs debate has spent years asking which roles will disappear. This weekend long-read asks the more important question: what becomes possible when AI expands the amount of useful work the economy can support? NLW lays out a first-principles case for why better AI does not simply mean less human work, exploring how cheaper services, broader access, continuous support, personalization, and human trust can create new demand. From there, he introduces the “human premium” that remains even as AI capabilities advance, then uses healthcare to show how entire new categories of work could emerge in an AI-enabled economy.
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Transcript
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| 0:00.0 | Today on the AI Daily Brief, the new jobs AI will create. |
| 0:05.2 | The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. |
| 0:14.9 | All right, friends, quick announcements before we dive in. |
| 0:18.1 | First of all, thank you to today's sponsors, Granola, Super Intelligent, |
| 0:21.9 | Bolt, and Section. To get an ad-free version of the show, go to patreon.com slash AI Daily Brief, or you can subscribe on Apple Podcasts. If you want to learn more about sponsoring the show or really finding out about anything else in the AIDB ecosystem, head on over to AIDilybrief.A.I. One of the big points of discussion for this week has been the idea that there is this ever-so-s subtle |
| 0:41.0 | shift in the AI Jobs narrative. |
| 0:44.1 | It would be going way too far to say that this was becoming anywhere near mainstream, but |
| 0:48.0 | you're starting to see more people at least question the premise that AI and agents getting |
| 0:51.5 | better means people will have less work. |
| 0:53.7 | And yet, even among |
| 0:54.5 | those who are arguing that the AI job apocalypse narrative is way overblown, the argument |
| 0:59.5 | tends to be much more backwards looking. It's looking at the way that productivity has previously |
| 1:04.4 | impacted industries and extrapolating that out to the future. That's well and good, and all of that |
| 1:09.4 | is important. But I think it is a |
| 1:11.3 | significant failure of the AI industry to take the next step and actually start to explore |
| 1:16.8 | the type of jobs that there will be in an AI-enabled future. The sheer tonnage of time spent on |
| 1:24.0 | assessing which jobs are most at risk, compared to the almost zero time exploring |
| 1:28.7 | what types of new jobs will be created, represents one of our great failures, and leaves people |
| 1:34.2 | who want to be optimistic about the future, clinging to vague, hand-wavy notions about what those |
| 1:39.1 | jobs might be. Now, from the standpoint of sheer epistemic humility, of course we have to be careful about arguing |
| 1:45.5 | with any sort of confidence what specific things will be created in the future. In other words, |
| 1:50.4 | the more specific our future predictions, the less likely to be right they are. But that doesn't |
... |
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