Don't Blame AI for Workslop
The AI Daily Brief: Artificial Intelligence News and Analysis
Nathaniel Whittemore
4.7 • 763 Ratings
🗓️ 28 September 2025
⏱️ 22 minutes
🧾️ Download transcript
Summary
Everyone is suddenly talking about workslop—AI-generated content that looks polished but lacks substance. This episode argues that the problem isn’t underperforming AI, but broken incentives and unnecessary busywork that AI is exposing. It explores why workslop is really an organizational issue, how to shift from inputs to outcomes, and what leaders can do to eliminate fake work and improve productivity.
Brought to you by:
Is your enterprise ready for the future of agentic AI?
Visit Outshift Internet of Agents
Try Notion AI today with Notion 3.0 https://ntn.so/nlw
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 | In the wake of MIT's 95% study, now everyone is talking about the scourge of work slob. |
| 0:07.1 | So what is it? |
| 0:08.2 | Is it actually a thing? |
| 0:09.4 | And if it is a thing, what do we do about it? |
| 0:11.7 | The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. |
| 0:24.0 | All right, friends, quick notes before we dive in. |
| 0:26.4 | First of all, thank you to today's sponsors, Notion, Blitzy, Superintelligent, and Robots |
| 0:30.6 | and Pencils. |
| 0:31.5 | To get an ad-free version of the show, go to patreon.com slash AI Daily Brief. |
| 0:35.4 | And if you are interested in sponsoring the show, shoot us a note at |
| 0:38.4 | sponsors at AIdailybrief.aI.com. Welcome back to the AI Daily Brief. This being a weekend episode, |
| 0:45.3 | it seemed like the perfect time to dig into the latest study that is consuming an outsized |
| 0:52.1 | portion of media attention in and around AI. |
| 0:55.5 | Hot on the heels of MIT's endlessly referenced 95% failure rate study, |
| 1:00.6 | which you'll remember suggested that 95% of AI efforts were failing |
| 1:04.4 | and got just an absolute boatload of press before people realized that it was based on |
| 1:09.3 | interviews with 52 executives and a public |
| 1:11.6 | reading of earning statements where if an organization hadn't explicitly reported that |
| 1:16.2 | AI was contributing to revenue growth, that was considered a failure. |
| 1:20.8 | It's very clear that people are interested right now in narratives around AI underperformance. |
| 1:26.8 | And this week, that came home to Roost in and around this discussion of new research, |
| 1:31.3 | from a team up between Stanford Social Media Lab and BetterUp, |
... |
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.

