NBER Paper: Automation Strips Work of Meaning, Potentially Harming Workers
joshgans · x · 2026-08-03
Economist Joshua S. Gans argues in a new NBER working paper that automation can disrupt workers negatively even without replacing them.
The presence of a credible machine alternative weakens the intrinsic meaning of a task—knowing the output depends on one's own contribution. This 'meaning externality' can lower the value of human work, trigger wage adjustments, and make socially harmful development highly profitable.
Related event: NBER Paper: AI Automation Undermines the Meaning of Work(2 posts)→
More from AGI Musings
- 'Pacing' Letter Signers Clarify: Slowdown is Temporary, Still Faster Than Today — peterwildeford · 2026-08-03
- Are AI Models Poised to Plow Through Every Discipline? The Economy Bets on It — jd_pressman · 2026-08-03
- Elon Musk Outlines Path to Safe AI: Maximally Truthful and Curious — XFreeze · 2026-08-03
- Unpacking RSI: Four Dimensions of AI Self-Improvement and Their Hard Ceilings — jachiam0 · 2026-08-03
- Ilya Warned: The Key to AI Alignment is Teaching Models to 'Love' Us — UltraRareAF · 2026-08-03
- AI Coding Shifts Enterprise OSS: 'Rewrite vs Import' is the New Norm — EricBuess · 2026-08-03