← All episodes

Why Is AI Making My Job *Worse*? | Cal Newport

| 12 products mentioned
Cal Newport Cal Newport host
Watch on YouTube digital productivity paradox ai in the workplace email management knowledge work deep work workplace technology pseudo-productivity

Cal Newport examines the digital productivity paradox—why tools like AI and email make work faster individually but leave workers busier and less productive overall. Drawing on research from Avatra analyzing 164,000 workers, Newport explains how efficiency gains paradoxically lead to increased task throughput, more context switching, and lower-quality output, trapping knowledge workers in a cycle of pseudo-productivity rather than genuine value creation.

Key takeaways
  • • Increased task speed leads to increased task volume: When productivity tools make activities faster, organizations send more tasks through the pipeline, creating more context switching and cognitive exhaustion even though individual tasks take less time.
  • • Reducing cognitive effort can increase total work required: AI and email make it easier to produce lower-quality outputs (termed "work slop"), which then require more back-and-forth refinement, negating the time savings of the initial reduction in effort.
  • • Pseudo-productivity—appearing busy—drives adoption of harmful tools: Knowledge work cultures measure productivity by visible effort and busyness rather than actual value produced, making workers embrace tools that make them *look* productive while actually harming true productivity.
  • • Use better scorecards to measure what actually matters: Track metrics that directly reflect bottom-line value (papers published, projects completed, features shipped) rather than activity levels, allowing you to identify when tools hurt rather than help.
  • • Focus digital tools on true bottlenecks, not convenient tasks: Speeding up non-critical tasks (like data visualization) won't increase output if the real bottleneck is elsewhere (like obtaining quality datasets); identify and optimize the constraint that controls your actual productivity.
  • • Protect deep work time from technological side effects: Separating focused work from shallow communication creates a firewall against the negative effects of productivity tools, ensuring they don't erode time spent on high-value activities.

Recommendations (2)

What Do You Say uses

"I also finished a parenting book called What Do You Say by William Stricks Ruddd and Ned Johnson. God do we need this advice."

Cal Newport · ▶ 1:03:15

Check price →
Reader Come Home uses

"One was Maryann Wolf's book, Reader Come Home. Fantastic book."

Cal Newport · ▶ 1:02:21

Check price →

Mentioned (10)

Mistborn
Mistborn "He read the Mistborn trilogy and is now has started on the King something. So I said I would read..." ▶ 1:04:16
Avatra "A new research study recently caught my attention. It came from a software company called Avatra." ▶ 0:02
Wall Street Journal
Wall Street Journal "Here's a summary of their results from a Wall Street Journal article that came out last week." ▶ 0:24
Microsoft
Microsoft "The latest Microsoft work trend index report finds that the users they studied are checking an in..." ▶ 8:22
Harvard Business Review
Harvard Business Review "As research that was reported recently in the Harvard Business Review found, the quality of these..." ▶ 11:24
Gemini
Gemini "Here's a Gemini subscription and like whatever mess around with like some of these agents or what..." ▶ 21:10
Claude
Claude "An increasing number of social scientists are realizing that they can use Claude code which is a ..." ▶ 23:42
LaTeX
LaTeX "You can use things like LaTeX in a web-based collaborative environment where now all your collabo..." ▶ 26:04
The Critical Path "It came from a Substack called The Critical Path and the article is titled Why Meetings Multiply." ▶ 36:34
Amazon
Amazon "One way to do this is to use the Amazon rules. So, if you work at one of the like Amazon HQ or at..." ▶ 46:24

More from these creators

Can AI “Scheme”? (Nope.) | AI Reality Check

Cal Newport · Apr 02, 2026

How to Find Meaning in a Distracted World (w/ Arthur Brooks) | Cal Newport

Cal Newport · Mar 30, 2026 · 2 recs

Are LLMs a Dead End? (Investors Just Bet $1 Billion on “Yes”) | AI Reality Check | Cal Newport

Cal Newport · Mar 26, 2026

Did AI Just Become Sentient? (Not Quite...) | AI Reality Check | Cal Newport

Cal Newport · Mar 19, 2026

Reduce Your Screentime (5 Simple Steps) | Cal Newport

Cal Newport · Mar 16, 2026 · 4 recs

Will AI Destroy the Economy? (According to Economists: No.) | AI Reality Check | Cal Newport

Cal Newport · Mar 12, 2026