How to Help People Thrive with AI

Categories: AI

Summary

Only 16% of workers actually use AI agents despite 69% of organizations deploying them—the real bottleneck isn't AI capability but human readiness. David Brooks argues that success in the AI age won't depend on intelligence, but on your relationship to mental effort and willingness to actively engage with AI rather than passively offload work.

Key Takeaways

  1. Only 30% of employees at organizations with AI agents receive agentic training, explaining why 69% of companies deploy agents but just 16% of workers actually use them. This training gap is the critical blocker, not technology limitations.
  2. AI adoption intensifies work rather than reduces it: early adopters doubled email/chat time, increased business software use by 94%, and saw focused work time drop 9%. This creates 'AI brain fry'—workers squeeze in tasks evenings/weekends rather than rest.
  3. The 'infinite backlog' problem: with agents handling tasks 24/7 without needing sleep, workers feel obligated to constantly plan and oversee them, shifting the bottleneck from task capacity to planning and oversight capacity.
  4. Need for cognition—not raw intelligence—predicts who thrives with AI. High-cognition people who enjoy thinking hard will outperform smart 'cognitive misers' who avoid mental effort, making psychological profile more predictive than IQ.
  5. Organizations must invest in AI proficiency training and workplace culture changes to prevent burnout. Without supporting people in learning how to use AI effectively, deploying better models provides limited organizational value.

Related topics

Transcript Excerpt

Today on the AI Daily Brief, how to help people thrive with AI. The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. All right, friends. Quick announcements before we dive in. First of all, thank you to today's sponsors, Robots and Pencils, Blitzcy, Section, and Airtable. To get an ad-free version of the show, go to patreon.com/aidailybrief or you can subscribe on Apple Podcasts. To learn more about sponsoring the show, send us a note at sponsors@aidailybrief.ai. The big theme of this week has been models, models, models, and more models. And yet, all the models in the world aren't going to help people learn how to get value out of AI. Yes, model improvements can deal with fail cases from previous models and open up new opportunities, but if …

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