The AI Daily Brief: Artificial Intelligence News and Analysis These Are the Jobs People Actually WANT AI to Automate
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Oct 13, 2025 Discover which jobs people actually want AI to take over and the moral boundaries they draw. Research from Stanford and Harvard reveals a fascinating automation morality map. Roles like analysts are welcomed for automation, while teachers and caregivers face resistance. Explore how public sentiment diverges from worker preferences. The podcast also touches on the rapid advancements in AI at Google, Meta's aggressive hiring, and the geopolitical tensions in the chip industry. A nuanced conversation on AI's future and its impact on employment awaits!
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Automation Depends On Capability And Morality
- Public acceptance of automation depends on both capability and moral comfort with machines doing the work.
- Harvard maps occupations by technical feasibility and moral repugnance to predict where AI will face resistance.
White-Collar Roles Sit In 'No Friction' Zone
- The 'no friction' quadrant lists white-collar roles where AI is both capable and publicly acceptable to automate.
- Roles include search strategists, quantitative analysts, economists, and special effects artists.
Workers And Public Often Diverge On Automation
- Workers and the public often disagree about which tasks should be automated, producing different priorities.
- Workers tend to want more task-level automation while outsiders are more permissive about role automation.