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About this paper
Ayush Chopra, Santanu Bhattacharya, DeAndrea Salvador, Ayan Paul, Teddy Wright, Aditi Garg, Feroz Ahmad, Alice C. Schwarze and 2 more
Researchers at MIT and Oak Ridge National Laboratory developed the "Iceberg Index" and a large-scale simulation platform, Project Iceberg, to measure the skills-centered technical exposure of the U.S. labor market to AI. They found that hidden cognitive automation across various sectors represents $1.2 trillion in wage value, which is five times larger than the visible impact in the tech sector, and revealed significant 'automation surprise' in industrial states.
Key insights
- AI's true skills-based exposure, measured by the Iceberg Index, is approximately $1.2 trillion in wage value, five times larger than the visible disruption in the tech sector.
- Many industrial states exhibit an 'automation surprise,' showing low visible tech exposure but high hidden cognitive exposure in administrative and professional white-collar roles.
- Traditional economic metrics (GDP, unemployment) correlate negligibly with skills-based AI exposure, underscoring the need for new, forward-looking measures like the Iceberg Index.
Summary by alphaXiv.
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