Women are more likely than men to lose their jobs to AI

Due to the spread of artificial intelligence, women will be forced to change professions more often than men. This is one of the conclusions from the report of the research group of the consulting agency McKinsey & Co., which studied labor market trends in the United States until the end of 2030. This is reported by Fortune.

In the next period of active implementation of AI in the USA, women will be 1.5 times more likely to master another profession than men. That’s because women are overrepresented in low-wage industries that the report says will be most affected by automation, including back-office work and customer service. In addition, black and Hispanic workers will also suffer more, as demand for agricultural and manufacturing occupations also declines.

In total, according to a McKinsey report, at least 12 million workers in the US will have to change occupations by the end of 2030. This is partly due to the government’s desire for zero greenhouse gas emissions, which will lead to the destruction of millions of jobs. The outflow will be concentrated among low-wage workers. They are 14 times more likely to change careers than those with higher wages.

White-collar workers, from lawyers and teachers to financial advisors and architects, will be among those most affected by the proliferation of generative AI such as OpenAI’s ChatGPT, according to the report. But according to McKinsey, this will largely lead to changes in how this work is done, rather than the elimination of large numbers of jobs.

As for US efforts to reduce greenhouse gas emissions, they will lead to the destruction of about 3.5 million jobs, primarily workers in the oil and gas production and automotive industries. But about 700,000 new jobs will be created in the field of green energy.

In addition, the energy transition, combined with increased government spending on infrastructure, will increase the demand for construction workers, who are already in short supply. McKinsey predicts construction employment to grow by 12% from 2022 to 2030.