According to the research division of McKinsey & Co., automation and artificial intelligence will force at least 12 million US workers to switch careers by the year 2030.
The fact that women are overrepresented in lower-paying occupations like office support and customer service means that they are 1.5 times more likely than males to need to change their line of work.
AI wave
As the need for food and production employees declines, Blacks and Hispanics will also suffer. By the end of 2030, at least 12 million US workers would need to switch jobs, according to the McKinsey Global Institute, with some of that turnover being caused by the push for net-zero emissions.
Low-wage workers are up to 14 times more likely than those in the highest-paying positions to need to change their occupations, so the churn will be concentrated among them.
- McKinsey predicts 12 million US workers to switch careers by 2030.
- Decreased food and production demand affects Blacks, Hispanics; 12 million US workers need job changes.
- Analysis predicts 4% annual productivity growth, US workforce development needed.
The proliferation of generative artificial intelligence, such as OpenAI’s ChatGPT, will have a particularly negative impact on white-collar professions including law, education, financial advice, and architecture.
Jobs may be moved about in the coming years, which might greatly boost US production and the economy.
The analysis suggests an eventual increase in annual productivity growth from 3% to 4% in a “pretty optimistic” scenario. The US will need much more extensive workforce development to do this, though.
