meta_pixel
Tapesearch Logo
Log in
Deep Questions with Cal Newport

Ep. 397: Why Do “Productivity Technologies” Make My Job Worse?

Deep Questions with Cal Newport

Cal Newport

Education, Self-improvement, Technology

4.81.5K Ratings

🗓️ 23 March 2026

⏱️ 67 minutes

🧾️ Download transcript

Summary

A new study finds that for many workers, AI increases shallow efforts while decreasing time focusing on what really matters. This is not the first digital productivity technology to create this paradoxical effect. In today’s episode, Cal dives deep into why this happens and then details three strategies for avoiding these traps in your own professional life. Below are the questions covered in today's episode (with their timestamps). Get your questions answered by Cal! Here’s the link: bit.ly/3U3sTvo Video from today’s episode: youtube.com/calnewportmedia DEEP DIVE:  Why Do “Productivity Technologies” Make My Job Worse? [3:17] INBOX:  An article about meetings [36:11] A case study on escaping email overload [47:29] A tool that makes the internet more boring [50:37] WHAT CAL IS UP TO: Deep or Crazy? [57:02] What Cal read [1:02:23] Cal in the news [1:05:57] Books: Reader, Come Home (Maryanne Wolf) What Do You Say? (William Stixrud and Ned Johnson) Links: Buy Cal’s latest book, “Slow Productivity” at calnewport.com/slow Get a signed copy of Cal’s “Slow Productivity” at peoplesbooktakoma.com/event/cal-newport/ Cal’s monthly book directory: bramses.notion.site/059db2641def4a88988b4d2cee4657ba?pmresearcher.substack.com/p/why-meetings-multiplydocs.pluckeye.net/overview Thanks to our Sponsors:  calderalab.com/deepcozyearth.com/deep (Use code “DEEP”)grammarly.comdrinkag1.com/deep Thanks to Jesse Miller for production, Jay Kerstens for the intro music, Nate Mechler for research and newsletter, and Mark Miles for mastering. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Transcript

Click on a timestamp to play from that location

0:00.0

A new research study recently caught my attention.

0:03.7

It came from a software company called Avatrack, which analyzed the digital activity of 164,000 workers spread across more than a thousand different employers.

0:16.5

And what they wanted to do was measure the impact of new AI tools.

0:22.1

So what did they find?

0:23.5

Here's a summary of their results from a Wall Street Journal article that came out last week.

0:28.5

Avivetrak found AI intensified activity across nearly every activity category.

0:34.3

The time they spent on email messaging and chat apps more than doubled, while their use

0:38.5

of business management tools such as human resources or accounting software rose 94%. Meanwhile,

0:45.9

the amount of time AI users devoted to focused uninterrupted work, the kind of concentration

0:50.7

often required for figuring out complex problems, writing formulas, creating,

0:54.6

and strategizing, fell 9% compared with nearly no change for non-users.

1:03.2

All right.

1:03.4

So this research results describes in some sense a worst case scenario for knowledge work.

1:08.6

These employees are spending more time on exhausting

1:12.3

shallow tasks that don't have a huge impact on the bottom line and less time on the deep

1:17.1

tasks that can make the most difference. The efficiency gain of these new tools seems to have

1:22.9

made everyone busier, but not necessarily better.

1:29.0

Now, here's the thing.

1:32.6

This outcome is not unique to AI.

1:45.7

As someone who has studied the intersection of digital technology and office work for more than a decade now, I can tell you from my experience that this matches a pattern that I have seen unfold many times before.

1:47.3

Here's how this pattern goes.

1:52.1

One, a new technology promises to speed up some annoying aspect of our job.

...

Please login to see the full transcript.

Disclaimer: The podcast and artwork embedded on this page are from Cal Newport, and are the property of its owner and not affiliated with or endorsed by Tapesearch.

Generated transcripts are the property of Cal Newport and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.

Copyright © Tapesearch 2026.