Can AI Really Automate 57 Percent of Work?
The AI Daily Brief: Artificial Intelligence News and Analysis
Nathaniel Whittemore
4.7 • 763 Ratings
🗓️ 26 November 2025
⏱️ 23 minutes
🧾️ Download transcript
Summary
New research from Anthropic and McKinsey offers the clearest data yet on how AI is changing actual work, showing huge task-level time savings and estimating that more than half of U.S. work hours are now automatable if companies redesign around agents. The episode digs into what’s real, what’s hype, and how these findings reshape the future of jobs. Headlines include OpenAI’s new shopping research feature, Nvidia’s defensive turn, and HP’s AI-framed layoffs.
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Transcript
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| 0:00.0 | Today on the AI Daily Brief, can AI really do 57% of all work? Before that in the headlines, |
| 0:06.5 | just in time for Black Friday, Chat CheapyT introduces shopping research. The AI Daily Brief |
| 0:11.2 | is a daily podcast and video about the most important news and discussions in AI. |
| 0:26.0 | All right, friends, quick announcements before we dive in. |
| 0:30.5 | First of all, thank you to today's sponsors, KPMG, Robo, Robots, and Pencils, and Blitzy. |
| 0:33.3 | To get an ad-free version of the show, go to patreon.com. |
| 0:36.0 | Or you can subscribe on Apple Podcasts. To learn about sponsoring the show and lock in your rates before they go up for the new year, send us a note at sponsors at AIdailybrief.aI. Lastly, due to a number of requests, we're keeping the AI ROI benchmarking study open for just a couple more days. If you are interested in getting the full report, go contribute a handful of use cases, and you will get it when it's out in a couple of weeks. But with that, let's dive in. Welcome back to the AI Daily Brief Headlines edition, |
| 0:58.8 | all the daily AI news you need in around five minutes. As we head into the holiday season, |
| 1:04.7 | will you be using ChatGBT as your personal shopper? That's basically the pitch for OpenAI's |
| 1:10.2 | new shopping research feature, |
| 1:11.5 | but this is a lot more advanced or in-depth than you might imagine. On the one hand, it does the |
| 1:17.1 | basic stuff you would imagine, like comparing items and prices to help users find the best fit, |
| 1:21.7 | but it's really a much more involved step-by-step, deep research for shopping sort of process. |
| 1:28.8 | One of the things that OpenAI noticed was that a ton of people use ChatGPT as a way to, in their words, find, understand, and |
| 1:34.4 | compare products. Sometimes that's about just finding what their options are. Sometimes that's |
| 1:38.9 | about fitting the options to their needs or preferences. And rather than just showing some |
| 1:43.3 | shopping-related results when people |
| 1:45.0 | are searching for those things, shopping research is an entire experience purpose-built for that sort |
| 1:49.8 | of discovery. Indeed, they make it clear that this is not necessarily just for your everyday simple |
| 1:53.8 | stuff. They write, for simple shopping questions like checking a price or confirming a feature, |
| 1:58.3 | a regular chat GPT response is quick and all you need. But when you want depth, comparisons, constraints, tradeoffs, shopping research takes a few minutes to give you a more detailed, well-researched answer. So once you get into the experience, which you can automatically select or which can be recommended to you, after you prompted, it's going to give you a set of follow-up questions. Some of those might be about price, some of those might be around preference, some of those might be around the way that you're using it, some of those will be around distinct features, and after doing a first round of initial thinking, the experience might then ask you to look at a set of different options, giving them a thumbs up or a thumb down, or comparing them. So as a way to test this experience, I tried it looking for a robot for my four and a half year old |
| 2:37.6 | for Christmas. He really wants robots that actually do stuff. |
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