2/16/2024 0 Comments Shift admin![]() They generally fall into three categories: automation, including generative AI an injection of federal investment into infrastructure and the net-zero transition and long-term structural trends such as aging, continuing investment in technology, and the growth of e-commerce and remote work. Multiple forces are set to fuel growth in certain occupations and erode jobs in others. 2 The future of work after COVID-19, McKinsey Global Institute, February 2021. The total number of transitions through 2030 could be 25 percent higher than we projected a little over two years ago. We expect an additional 12 million occupational shifts by 2030. Some 8.6 million occupational shifts took place from 2019 through 2022. More recently, the accelerated development of generative AI, with its advanced natural language capabilities, has extended the possibilities for automation to a much wider set of occupations.Īmid this disruption, workers changed jobs at a remarkable pace-and a subset made bigger leaps and moved into entirely different occupations (Exhibit 1). The nature of work has changed as many workers have stuck with remote or hybrid models and employers have sped up their adoption of automation technologies. Since then, the US job market has come roaring back from its sudden drop. ![]() 1 The future of work in America: People and places, today and tomorrow, McKinsey Global Institute, July 2019. Months after MGI released its last report on the future of work in America, the world found itself battling a global pandemic. The US labor market is going through a rapid evolution in the way people work and the work people do. Employers will need to hire for skills and competencies rather than credentials, recruit from overlooked populations (such as rural workers and people with disabilities), and deliver training that keeps pace with their evolving needs.
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