US Workers in Women-Dominated Fields Most Vulnerable to AI Job Displacement, Study Finds
A recent report from the Brookings Institution and the Centre for the Governance of AI has revealed that workers in jobs dominated by women are more susceptible to job displacement due to artificial intelligence (AI). The study found that over 6 million employees in clerical and administrative roles โ traditionally held by women โ would struggle to adapt if their jobs were automated. This is largely because these workers often lack the necessary skills, savings, or experience to pivot into new roles.
According to senior fellow Mark Muro at the Brookings Institution, occupations historically dominated by women have been vulnerable to AI-driven job displacement for decades. "These are occupations that have been under attack for a long time," he said. The report highlights the need to address these vulnerabilities before they become more pronounced in the coming years.
Notably, 86% of the roughly 6 million workers at risk of losing their jobs due to AI-related job loss and finding a new position are women. Muro emphasized that this vulnerability is not solely the result of individual worker competency but rather reflects the nature of their job functions.
However, the study also suggests that while some workers in traditionally male-dominated fields may struggle with AI-driven job displacement, others could easily adapt to changing job requirements. These workers tend to be in roles such as marketing, finance, and science, where diverse skills are required, offering them a better chance to pivot into new positions.
Despite experts' concerns about the impact of AI on jobs, the report concludes that firms are unlikely to rapidly replace significant numbers of workers with AI. Instead, workers may benefit from actively experimenting with technology to expand their capabilities and stand out in their respective fields.
The study underscores the need for policymakers, businesses, and individuals to take proactive steps to address the potential impact of AI on women-dominated jobs and ensure that workers are equipped to adapt to an increasingly automated workforce.
A recent report from the Brookings Institution and the Centre for the Governance of AI has revealed that workers in jobs dominated by women are more susceptible to job displacement due to artificial intelligence (AI). The study found that over 6 million employees in clerical and administrative roles โ traditionally held by women โ would struggle to adapt if their jobs were automated. This is largely because these workers often lack the necessary skills, savings, or experience to pivot into new roles.
According to senior fellow Mark Muro at the Brookings Institution, occupations historically dominated by women have been vulnerable to AI-driven job displacement for decades. "These are occupations that have been under attack for a long time," he said. The report highlights the need to address these vulnerabilities before they become more pronounced in the coming years.
Notably, 86% of the roughly 6 million workers at risk of losing their jobs due to AI-related job loss and finding a new position are women. Muro emphasized that this vulnerability is not solely the result of individual worker competency but rather reflects the nature of their job functions.
However, the study also suggests that while some workers in traditionally male-dominated fields may struggle with AI-driven job displacement, others could easily adapt to changing job requirements. These workers tend to be in roles such as marketing, finance, and science, where diverse skills are required, offering them a better chance to pivot into new positions.
Despite experts' concerns about the impact of AI on jobs, the report concludes that firms are unlikely to rapidly replace significant numbers of workers with AI. Instead, workers may benefit from actively experimenting with technology to expand their capabilities and stand out in their respective fields.
The study underscores the need for policymakers, businesses, and individuals to take proactive steps to address the potential impact of AI on women-dominated jobs and ensure that workers are equipped to adapt to an increasingly automated workforce.