Economy & Policy

AI Will Create More Jobs Than It Kills, McKinsey Says

McKinsey sees AI cutting 36 million U.S. jobs by 2035 while adding 41 million elsewhere. Some 11 million workers may have to change careers entirely.

By Daniel Okafor

5 min read

Updated

AI will create more jobs than it kills, McKinsey says. The catch: 11 million Americans may need new careers
AI will create more jobs than it kills, McKinsey says. The catch: 11 million Americans may need new careersAI-generated

What's News

  • McKinsey Global Institute projects AI and automation will cut demand for about 36 million U.S. jobs by 2035 while creating about 41 million elsewhere.
  • About 11 million workers, roughly 7% of the U.S. workforce, may need to leave their occupations entirely, with roughly 770,000 people a year switching fields—3.6 times the historical average.
  • Only one in seven displaced workers has a direct path into a growing job; about 85% of growing jobs require a credential, and 76% cannot be done remotely.

AI and automation will cut demand for roughly 36 million U.S. jobs by 2035, but growth elsewhere will create about 41 million, according to a new McKinsey Global Institute report. The jobs will exist. Getting workers into them is the problem.

"The next decade's challenge is mobility, not scarcity," the authors wrote.

In its base case, about 11 million workers—roughly 7% of the workforce—would need to leave their occupations entirely, with a range of 6 million to 16 million. That figure sits close to McKinsey's 2023 forecast of 12 million career switches by 2030.

Most of those workers would have to jump into an entirely different field, such as retail to healthcare. McKinsey estimates about 770,000 people a year would need to make that kind of switch, roughly 3.6 times the historical average. The report notes that about 788,000 workers a year made similar moves between 2019 and 2022, during the pandemic, without lasting damage.

That would mark a real behavioral shift. Apart from a brief pandemic-era surge, workers already move between employers less often than they did in the late 1990s and early 2000s, according to the report.

Where the losses and gains land

The shrinking jobs concentrate in office and administrative support, retail, and transportation—much of it lower-paid work. Lower-wage workers are 7.6 times as likely as higher-wage workers to need a new occupation. Job growth, meanwhile, clusters in healthcare, construction, and management.

Richard Florida, the urbanist and author of The Rise of the Creative Class, told Fortune that shifts like this have happened before. "We used to have most people working in agriculture. Now 1% of the workforce works in agriculture," he said. "We used to have most people working in manufacturing—50, 60% working in manufacturing. Now 5 to 6% of the workforce works in manufacturing."

Florida, who was not involved in the McKinsey report, expects displaced service workers to land in what he called "a broad bucket" of wellness work, from fitness and dermatology to Pilates studios. "I think that there will be some displacement," he said. "But I think this is also the area we're going to create the most work." Some old service jobs, he said, "become transformed into much higher-paying wellness jobs."

McKinsey's data shows those transitions can be hard. Only one in seven displaced workers has a direct path into a growing job—one that needs little retraining and pays at least as much. Nearly half face what the report calls an "unpaved" path, blocked by large skill gaps or credential requirements. About 85% of growing jobs require a credential.

Florida said employers are already changing what they look for. "We used to be hiring really smart people because they're smart, and then we just watch how they do, up or out," he said. "Now we're hiring to replace ourselves. So we're hiring people who are not just smart but can build the business, work with customers, work with clients, work with others."

Geography adds another hurdle. About 76% of growing jobs can't be done remotely, McKinsey found, including work in hospitals, on construction sites, and in data centers.

Florida's research has long tracked how different kinds of work settle in different places. "There's manual work, which is like farm work or factory work, and that tends to be distributed almost ubiquitously over space," he said. "Then there's cognitive work, which tends to concentrate in big cities."

Cities take the lead

People are already willing to move for opportunity, even to places whose politics they dislike, Florida said. He pointed to Canadians moving from Toronto to Miami. "They don't necessarily like political conservatism. They don't necessarily like Donald Trump," he said. "But they like that Miami is a nice place to live and offers low taxes and has a lot of economic opportunity."

People moving to Nashville, where he now teaches, tell him "it's good to live in a blue city in a red state. I pay less taxes. I can still live in a kind of interesting city, but I saved a huge percent of my income."

When he wrote The Rise of the Creative Class in 2002, Florida said he didn't foresee how technology would let people spread out. "I certainly didn't talk about the rise of AI and AI technology and the way it would allow people to distribute."

Cities are also trying to pull talent in by building universities. Citadel founder Ken Griffin, who moved the hedge fund from Chicago to Miami in 2022, committed $3 billion to Carnegie Mellon University on Sept. 30. Of that, $2 billion will fund a new Miami campus, which plans to enroll its first students in 2028. Vanderbilt is building a graduate campus in West Palm Beach focused on business, AI, and data science, with $50 million from developer Stephen Ross leading the fundraising.

Florida, who joined Vanderbilt's faculty this fall, said wealthy people who moved to South Florida first "figured out they didn't have to bring their companies with them. They could just bring their boats and their family office." Griffin, he said, "realized that it has to be a talent anchor."

The implication for employers and policymakers is stark: the AI jobs transition will be won or lost on retraining, credentials, and worker mobility—not on job creation itself.

Original: mckinsey.com

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Daniel Okafor

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Correspondent covering business strategy at Business Bearings.

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