"The researchers examined how many occupational tasks could be automated by AI, along with the dollar value of each task. The total vulnerable tasks - representing an astonishing $1.2 trillion in wage value - give a rough idea of the potential scale of disruption to the $9.4 trillion American labor market, and the huge windfall for any companies that could actually deliver all that automation."
""Basically, we are creating a digital twin for the U.S. labor market," ORNL director and co-author of the study Prasanna Balaprakash . The tool simulated each worker and treated them "as autonomous agents executing over 32,000 skills across 3,000 counties and interacting with thousands of AI tools," the paper explained. The researcher also tracked skills that could be vulnerable to today's AI systems and measured the "wage value of skills AI systems can perform within each occupation.""
An analysis of 151 million American workers calculated that current AI systems could automate tasks performed by more than 20 million workers, equal to 11.7% of the labor force, if fully deployed nationwide. Vulnerable tasks amount to roughly $1.2 trillion in wage value within a $9.4 trillion American labor market. Current measured disruption equals about 2.2% of wages, or $211 billion. The Iceberg Index, co-created by MIT and Oak Ridge National Laboratory, simulates workers as autonomous agents executing over 32,000 skills across 3,000 counties and interacting with thousands of AI tools. The model tracks skill vulnerability and the wage value of skills AI systems can perform within occupations.
Read at Futurism
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