"MIT's research, written in October but released on Wednesday, estimates that current AI systems could already take over tasks tied to 11.7% of the U.S. labor market, representing about 151 million workers and roughly 11.7% of total wage value, or around $1.2 trillion in pay. Unlike earlier estimates that focused on theoretical "exposure" to automation, the MIT research focuses on jobs where AI can perform the same tasks at a cost that's either competitive with or cheaper than human labor."
"The model creates what researchers describe as a "digital twin of the U.S. labor market," simulating 151 million workers as individual agents, each with specific skills, occupations and locations. It tracks more than 32,000 skills across 923 job types in 3,000 counties and maps them against what current AI systems can already do. "We're effectively creating a digital twin of the U.S. labor market," Prasanna Balaprakash, a director at Oak Ridge National Laboratory and co-leader of the study, ."
Current AI systems are estimated to be able to perform tasks equivalent to 11.7% of the U.S. labor market, covering about 151 million workers and roughly $1.2 trillion in wages. The measurement emphasizes economic feasibility, not a timetable for job elimination. Project Iceberg built a detailed simulation of the U.S. labor market, modeling 151 million workers, more than 32,000 skills, 923 job types and 3,000 counties to map AI capabilities to real tasks. AI adoption is currently concentrated in tech work, notably coding, but AI already handles many cognitive and administrative tasks across occupations.
Read at Fortune
Unable to calculate read time
Collection
[
|
...
]