Ep. 356: How Much Should We Work?

Ep. 356: How Much Should We Work?

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363 of 398

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1T 3M

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Engelsk

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Personlig udvikling

The data shows knowledge workers really are more exhausted and more prone to burnout than ever before. But why? In this episode, Cal draws inspiration from an unlikely source to help unpack this troubling trend and then suggest a perhaps radical solution. He then answers listeners’ questions and discusses his latest New Yorker article on the challenges of taming AI. As a bonus, he briefly discusses Cal Network’s new bestselling book.

Find out more about Done Daily at DoneDaily.com!

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: How Much Should We Work? [3:33]

- What’s your advice on having a career backup plan? [28:27] - Do you know of any executive coaches who teach your principles? [30:33] - Is my retirement plan too ambitious? [35:13] - Are accountability support tools acceptable to use in order to build discipline? [38:43] - How can I identify if I have an inventory of "rare and valuable skills"? [41:21]

CASE STUDY: Crafting a storytelling profession [43:14]

CALL: Creating a life dashboard [46:14]

TECH CORNER: Why Can’t We Tame AI? (Cal’s latest New Yorker article) [52:08]

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? newyorker.com/culture/open-questions/what-isaac-asimov-reveals-about-living-with-ai

Thanks to our Sponsors:

drinklmnt.com/deep oracle.com/deepquestions indeed.com/deep vanta.com/deepquestions

Thanks to Jesse Miller for production, Jay Kerstens for the intro music, and Mark Miles for mastering.

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


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