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AI could force over 10 million US workers into new careers by 2035: What the McKinsey report underlines

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AI could force over 10 million US workers into new careers by 2035: What the McKinsey report underlines
AI could force over 10 million US workers into new careers by 2035: What the McKinsey report underlines

For ages, everyone’s worried AI would come for their jobs. But things aren’t as cut and dried as that old “robots stealing our jobs” story. The latest report from the McKinsey Global Institute doesn’t predict mass unemployment; it actually paints a messier picture. AI and automation aren’t just threatening to erase jobs. They’re shaking up the work landscape so much that millions of people will have little choice but to switch careers entirely.Here’s the number that may stun you a bit: by 2035, about 11 million Americans, which is nearly 6.5% of the current workforce, may need to leave the fields they’re in and start over in new lines of work. That doesn’t mean 11 million pink slips. McKinsey expects there will likely be even more jobs available than there are now.The real problem here? People need to get from here to there, helping them leave shrinking jobs for ones that are growing.And this is all arriving on top of an already stressed labor market. Job openings dropped in August to their lowest in months, and not many people seem willing or able to quit and try something new. People feel stuck, and now, the ground under them is about to shift even faster as AI accelerates everything.

AI could disrupt 36 million jobs: What comes after that?

Per CNN, the McKinsey forecast isn’t just about job loss. It’s actually more complex. Their best guess is that automation will decrease demand by an amount equal to about 36 million jobs by 2035. But here’s the twist: that doesn’t mean 36 million people out on the street. Many of those jobs get replaced by new ones.McKinsey anticipates growth in AI-driven sectors and the broader economy will create roughly 40 million fresh jobs over the same time. About 25 million folks affected by automation will probably hang on to their jobs, because the industries they’re in will expand enough to absorb the hit.Still, you’ve got 11 million people who’ll need to reinvent themselves, moving into entirely new roles, industries, or skill sets.

It’s not about having enough jobs: What is it then?

Turns out, it’s about getting people into the right ones.McKinsey sums it up as a “mobility, not scarcity” problem. Meaning, there will be jobs. The real question is: Can people actually get to them? Or are they stuck, missing the right training, or simply unable to move for family or financial reasons?And then there’s the pace. We’re not talking about the slow career changes folks made in past decades. McKinsey figures around 770,000 people every year, for the next decade, will switch occupational fields. That’s more than triple the usual rate.Plus, it’s not always clear-cut job losses or obvious layoffs that’ll force change. AI famously morphs existing jobs. It might not erase your role overnight, but it could nudge you into doing something almost unrecognizable from what you were hired for. McKinsey even says about 70% of US workers are likely to see their day-to-day work reinvented by AI: not replaced, but changed.Picture someone who once spent their day generating reports now focusing on checking what AI systems spit out, interpreting that data, handling various tasks, or dealing more directly with customers. So rather than outright destruction, AI keeps reshaping roles in subtle but significant ways.

Not everyone gets hit equally

Here’s another layer that adds to the complexity: some workers are at higher risk than others. Jobs with repetitive, predictable, or highly digital routines, like basic data entry or transactional work, have the biggest targets on their backs. On the flip side, there’s massive demand coming for people who know how to develop, run, and keep AI systems in check.And it’s not just about AI. The US is aging, and that’s about to turbocharge hiring for healthcare, at-home support, and long-term care. Demographic changes alone could create eight million new roles, according to McKinsey. Healthcare and social services are already projected to boom, while computer and mathematical roles should see strong growth: 7.3% over a decade, says the US Bureau of Labor Statistics.This means the “AI destroys jobs” panic doesn’t quite fit. There’ll be jobs; just not always the same ones, or in the same places, or for people with the same skills.

Moving workers is the hard part

This mess puts the focus on something less exciting than robots: retraining. McKinsey expects up to 16 million newly created jobs over the next decade will demand candidates from outside their old fields, meaning experience in that area alone won’t cut it. So even with plenty of opportunities, the real challenge is helping people get the right training, support, and confidence to make big leaps.And lots of Americans already feel penned in. According to the CNN report, weak hiring and low turnover have created a sense of being “stuck.”However, McKinsey isn’t saying millions will simply be tossed aside because of AI. Their warning is more nuanced, and frankly, more urgent: the jobs of 2035 are coming, but today’s workers might not be ready, willing, or able to fill them. That’s a setup for one of the biggest, fastest career reshuffles the country has ever seen: not a jobs apocalypse, but a labor market earthquake that could leave a lot of folks scrambling to keep up.



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