Episode 17 - AI FOMO Is Making Us Work More

Published Jul 14, 2026 · 25 min

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Summary

AI was supposed to save time. So why does it feel like it is making us work more?

Chapters

00:00 — The AI efficiency paradox
00:34 — Why faster AI can make us work longer
01:25 — AI FOMO and the pressure to run agents 24/7
02:18 — When agent output outruns human review
03:07 — Letting agents work while you step away
03:49 — AI and the new work-life integration problem
05:23 — Being busy is not the achievement
06:31 — Downtime, tinkering, and technology burnout
07:38 — Why technologists fantasize about going off-grid
09:18 — Token usage is not productivity
10:50 — Broken metrics: lines of code and AI leaderboards
13:08 — The coming economics of token efficiency
13:57 — When using AI takes longer than doing it yourself
14:46 — AI FOMO and fear of being replaced
15:46 — AI should remove busywork, not people
17:12 — A practical AI win: website content migration
18:19 — What clients actually want from agency AI use
20:25 — The cost-cutting trap and losing human expertise
21:54 — Most people are not running 15-agent companies
22:58 — Experimenting without worshipping the workflow
24:20 — Know when to stop the loop and walk away
25:11 — Wrap-up