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McKinsey Study Reveals A.I. is More Likely to Replace Women in the US

McKinsey’s recent report estimates that women in the U.S. are 1.5 times more likely to need to change jobs because of the automation A.I. will bring than men.

AI is more likely to replace women in jobs than men: McKinsey Study
Creator: PhonlamaiPhoto; Credit: Getty Images/iStockphoto

According to McKinsey’s report that examines the U.S. labor market trends until the end of 2030, women have to worry about the automation A.I. will bring more than men. The report discovered that women appear more in lower-wage jobs like office support and customer service, which are more likely to be replaced by an A.I. 

McKinsey Report: umber of occupational transitions due to AI by category.
Image credit: McKinsey

According to the estimations, office support positions are most prone to be replaced by an A.I. model. Nearly five million individuals who work in office support are expected to be replaced by A.I. by 2030.

Customer service and sales follow office support, the second most threatened field, as nearly three million people are expected to change jobs. Production work, food services, and business or legal professionals follow as the third, fourth, and fifth most threatened fields.

The report estimates that nearly two million people who work in production and food services will be replaced. At the same time, almost one million business and legal professionals will change jobs because of A.I. automation.

Overall, the report expects at least 12 million workers to be forced out of their jobs by the end of 2023, with Blacks and Hispanics being the most affected.

Supporting these findings, Revelio Labs economist Hakki Ozdenoren stated:

“The distribution of genders across occupations reflects the biases deeply rooted in our society, with women often confined to roles such as administrative assistants and secretaries. Consequently, the impact of A.I. becomes skewed along gender lines.”  

However, Ozdenoren also mentioned that this wouldn’t be as catastrophic for women as it may sound. Instead, he argued that this replacement wave would create room for women to leverage their unique skills and expertise. He stated:

“Moving forward, providing retraining opportunities will be key for women to navigate the evolving job landscape,” Ozdenoren said. “By doing so, we can capitalize on the potential of A.I. while leveraging their valuable skills and expertise,”


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