A new study conducted by researchers at MIT University suggests that age-based artificial ielligence (AiG) could replace 11% of the active workforce in the United States.
Researchers from MIT and Oak Ridge National Laboratory have developed an innovative method to simulate the poteial impact of artificial ielligence on US jobs, CNBC reports. This effort led to the creation of the Iceberg index, which is a digital equivale of the national labor market. Researchers launched Project Iceberg earlier this year to simulate an AI-powered workforce alongside more than 151 million human workers.
Artificial ielligence has a great poteial to replace the workforce
The MIT study based on this simulation shows that a theoretical AI-powered workforce could cover 11.7% of the US labor market right now. Also in terms of wages, the poteial impact of AI could be as high as $1.2 trillion in the financial, healthcare, and professional services industries.
Project Iceberg assessed the 151 million US workforce by taking io accou their skills, tasks and locations. The simulation mapped more than 32 thousand professional skills in 923 occupations and 3 thousand cities. Finally, the researchers evaluated the ability of AI ages to perform the same skills and jobs.
Of course, researchers say that the iceberg index cannot accurately predict the evolution of the work environme. But they worked with state officials to conduct a preliminary simulation of the impact of age-based AI. Local governmes provided workforce data to feed the model, and MIT researchers ideified the skills workers are likely to need to relearn in the near future.
The Iceberg Index is able to describe the replaceme of human jobs in a given couy even down to the level of individual census blocks. In addition, the project simulates the labor market in all 50 US states and, unlike traditional assessmes, does not focus only on technology hubs in coastal areas.
