"MIT published a study last week indicating that, indeed, the scale and distribution of AI-fueled automation is likely to be much more extensive than previously believed. Titled "Project Iceberg," the study found that current AI systems can already replace 11.7% of the US workforce, representing around $1.2 trillion of the total value of the country's labor market (which is worth more than $9.4 trillion total, according to the report)."
"The study was based on a large-scale computer simulation of the US labor force powered by the Frontier supercomputer at Oak Ridge National Laboratory in Tennessee. The researchers leveraged what they call "Large Population Models" -- AI systems that can represent the interplay of 151 million workers across 3,000 US counties, and exhibiting 32,000 individual workplace skills. The goal was to develop a detailed map of the particular jobs and industries AI can handle."
Current AI systems can replace 11.7% of the US workforce, representing roughly $1.2 trillion of labor value within a roughly $9.4 trillion labor market. Large Population Models run on the Frontier supercomputer at Oak Ridge National Laboratory simulated 151 million workers across 3,000 US counties and 32,000 workplace skills to map AI-capable jobs and industries. The simulation produced a detailed map of particular jobs and industries AI can handle and estimated the economic output AI can generate. AI's disruptive potential will vary across industries and jobs, and companies currently overlook AI's impact on 9.5% of the US workforce.
Read at ZDNET
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