Automation Will Put Double The Number Of Women Out of Work Than Men


By Victor Trammell

Photo credits: The Baltimore Times

The newly released results of a research study conducted by the Institute For Spatial Economic Analysis (ISEA) have uncovered an adverse scenario, which faces American women in the workforce as automation becomes more prevalent.

The retail industry provides a good paradigm of how women will be negatively affected as corporations are leaning toward eliminating cashier positions by using automatic machines instead. “For example, 97% of cashiers are expected to lose their jobs in the coming years to automation,” wrote Kate Taylor, a reporter for the Business Insider.

As of 2016, 73% of cashiers [were] women,” she also wrote.

This means that with time, much more women than men will lose jobs due to the fact that companies are looking to overhaul their daily operations by using automated mechanisms as opposed to relying on human labor. The race-based realities of this change are also outlined in the ISEA’s report.

A portion of the ISEA’s report with these published study findings reads as follows:

“Hispanics are 25 percent more likely than Whites to lose their jobs to automation. For African Americans, this number is 13 percent, while Asians are 11 percent less likely as compared to Whites. Workers ages 16-19 have a 66 percent higher chance of job automation than workers in the 35-44 age range. Since more women than men work in professions that are highly automatable (above a 95 percent chance of automation in the next 20 years), twice as many women than men are likely to lose a job that is highly automatable.” (

For its study, the ISEA used a combination of research data extracted from researchers at Oxford University, as well as employment information published by the U.S. Bureau of Labor Statistics. Prior to the study, ISEA experts were on a mission to gain clarity on exactly how the most susceptible groups would be affected.

“While new jobs are likely to be created as existing jobs disappear, there is no guarantee that enough well-paying jobs will be created or that all demographics will share equally in the gains and losses,” said Dr. Jess Chen, the lead researcher for the ISEA study in a statement.

“We set out to understand which demographic groups are most vulnerable to having their jobs automated,” she continued.

You can read the full ISEA report on this labor-based study by visiting the link to the first research source listed for this article below.

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