These Are the Jobs People Actually WANT AI to Automate
The AI Daily Brief: Artificial Intelligence News and Analysis
Nathaniel Whittemore
4.7 • 763 Ratings
🗓️ 13 October 2025
⏱️ 32 minutes
🧾️ Download transcript
Summary
Today on The AI Daily Brief, Nathaniel Whittemore explores new research revealing which jobs people actually want AI to automate—and which they find morally off-limits. Drawing on studies from Stanford and Harvard, he maps where AI capability meets human preference, showing how workers and the public diverge on what tasks should be handed to machines. The episode goes beyond fear or hype to outline a nuanced “automation morality map” that helps explain where society is ready for AI, where it isn’t, and what that means for the future of work. Plus, in the headlines: Google’s token usage hits 1.3 quadrillion per month, Meta makes another billion-dollar AI hire, XAI moves into world models, and China escalates its chip war.
Brought to you by:
Is your enterprise ready for the future of agentic AI?
Visit Outshift Internet of Agents
Google Gemini - Try NotebookLM today https://notebooklm.google.com/
KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. https://www.kpmg.us/AIpodcasts
Blitzy.com - Go to https://blitzy.com/ to build enterprise software in days, not months
Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/
Vanta - Simplify compliance - https://vanta.com/nlw
The Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score.
The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614
Interested in sponsoring the show? nlw@aidailybrief.ai
Transcript
Click on a timestamp to play from that location
| 0:00.0 | This podcast is supported by Google. |
| 0:03.0 | Hey folks, Steven Johnson here, |
| 0:04.7 | co-founder of Notebook L.M. |
| 0:06.7 | As an author, I've always been obsessed |
| 0:08.5 | with how software could help organize ideas |
| 0:10.9 | and make connections. |
| 0:12.3 | So we built Notebook LM as an AI first tool |
| 0:15.7 | for anyone trying to make sense of complex information. |
| 0:19.0 | Upload your documents and Notebook LM instantly becomes your personal expert, uncovering insights |
| 0:24.8 | and helping you brainstorm. |
| 0:26.7 | Try it at notebooklm.gooklm.com. |
| 0:30.3 | Today on the AI Daily Brief, these are the roles that people actually want AI to automate. |
| 0:35.8 | Before that, in the headlines, |
| 0:41.9 | Google is now processing 1.3 quadrillion tokens each month. |
| 0:44.6 | The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. |
| 0:53.8 | All right, friends, quick notes before we dive in. First of all, thank you to today's sponsors, Gemini, robots and pencils, Notion, insight-wise, and super-intelligent. To get an ad-free version of the show, go to patreon.com slash AI Daily Brief, or you can subscribe on Apple Podcasts. And if you are interested in sponsoring the show, send us a note at sponsors at aidailybrief. Right now, there are still some good slots open in Q1, but I have a feeling that that is going to turn very quickly. So if you are at all interested, and even if you just want some information, again, shoot us a note at sponsors at AIdailybrief.aI. Welcome back to the AI Daily Brief Headlines edition, all the daily AI news you need in around |
| 1:28.5 | five minutes. |
| 1:29.6 | We kick off today with an update from Google where that company is now pumping out 1.3 |
| 1:34.7 | quadrillion tokens a month to serve their AI products. |
| 1:38.9 | You might remember back earlier this year when between May and July we saw this massive |
| 1:43.4 | inflection point, where Google |
| 1:45.0 | went from processing 480 trillion tokens in May, all the way up to 980 trillion towards |
... |
Please login to see the full transcript.
Disclaimer: The podcast and artwork embedded on this page are from Nathaniel Whittemore, and are the property of its owner and not affiliated with or endorsed by Tapesearch.
Generated transcripts are the property of Nathaniel Whittemore and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.
Copyright © Tapesearch 2026.