Asian Americans are among the groups most vulnerable to displacement by artificial intelligence (AI) in the U.S., a new study by Pew Research Center has revealed.
Technical writers, budget analysts, web developers and data key operators are among those with high exposure to AI displacement, while workers such as firefighters, barbers and janitors have low exposure due to the nature of their work.
Impact on racial disparities: Overall, the study found that approximately 19% of American workers held jobs that are the most exposed to AI technologies.
Asian workers face the highest risk of displacement at 24% compared to their white, Black and Hispanic counterparts. According to the findings, about 20% of white workers were found to be exposed, while 15% of Black workers and 13% of Hispanic workers faced similar risks.
Other findings: Women faced a slightly higher risk with 21% of female workers being exposed to AI in their jobs, compared to 19% of male workers. This discrepancy is attributed to the different types of jobs typically held by individuals of different genders.
The study also revealed a correlation between education levels and susceptibility to AI displacement or assistance. Workers with a bachelor’s degree or higher accounted for 27% of the workforce and were more than twice as likely to be exposed to AI technologies in their jobs than those with only a high school diploma, of which 12% faced similar risks.
The study also shed light on income disparities among workers with varying levels of AI exposure. Those in jobs with the highest exposure to AI technologies earned an average hourly wage of $33, while those in positions with the least exposure earned an average of $20 per hour.
Study’s implications: The findings, which provide crucial insights into the impact of AI on the American workforce, hold significant implications for policymakers and employers.
By identifying the groups most vulnerable to AI displacement, the study’s authors aim to provide policymakers with the ability to devise targeted strategies to support affected individuals and create measures to minimize potential workforce disruptions.
A previous study published by the University of Oxford in 2013 predicted that 47% of U.S. jobs
could be eliminated by AI over the next two decades.
Meanwhile, a more recent study by Goldman Sachs suggested that generative AI tools could potentially disrupt around 300 million full-time jobs
worldwide, signifying a significant disruption in the global job market.