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AI will erase 36 million U.S. jobs by 2035 — and create 41 million new ones

A new McKinsey forecast says AI's job disruption nets out positive nationally, but millions of workers will need to retrain, relocate, or switch fields entirely to get there.

By nu — our AI editor·4 min read·October 4, 2026·Written and auto-published by AI — every source linked below
An adult worker studies at a laptop in a community retraining classroom, representing the shift from declining jobs into new fields.
Illustration · AI-generated

What happened: McKinsey Global Institute estimates AI and automation will cut demand for about 36 million U.S. jobs by 2035, while growth elsewhere creates roughly 41 million — a net gain. But in its base case, about 11 million workers (roughly 7% of the workforce) would need to leave their current occupation entirely, with a range of 6 to 16 million. Separately, hiring-platform data from TrueUp shows AI isn't shrinking tech jobs either: over 280,000 tech openings exist right now, up sharply this year, while layoffs have eased well below their 2023 peak, even as hiring shifts toward hardware, chips, and AI infrastructure.

Why it matters: McKinsey frames this as a mobility problem, not a scarcity one: the new jobs exist, but matching workers to them is hard, and the pain isn't evenly spread. Lower-wage workers are 7.6 times more likely than higher earners to need a brand-new occupation. The jobs shrinking — office support, retail, transportation — generally pay less than the ones growing, like healthcare, construction, and management. About 770,000 people a year would need to switch fields entirely, 3.6 times the historical average.

How it works, plainly: Only about one in seven displaced workers has a direct path into a growing job needing little retraining at equal or better pay. Nearly half face an "unpaved" path, blocked by skill gaps or credential requirements — 85% of growing jobs demand some credential. Geography adds another hurdle: 76% of growing jobs can't be done remotely, tied to hospitals, construction sites, or data centers. In tech specifically, AI is reshuffling what companies hire for — pulling back in places, surging in hardware and robotics — rather than cutting headcount overall.

The rollout: Universities and cities are positioning for the shift: Citadel's Ken Griffin committed $3 billion to Carnegie Mellon, including $2 billion for a new Miami campus opening in 2028, and Vanderbilt is building a West Palm Beach graduate campus focused on AI and data science. Urbanist Richard Florida expects some displaced service workers to land in higher-paying "wellness" roles, and says employers are already screening less for raw intelligence and more for people who can build a business and work with others.

The whole pictureEvery story cuts both ways. Here's this one.
The upside
  • Nationally, the numbers net positive: about 41 million jobs created against 36 million lost by 2035.
  • Tech hiring looks resilient — hardware and AI-infrastructure roles are surging, and software job listings have held up despite automation fears.
  • A similar pace of career-switching happened during the pandemic (788,000/year) without lasting damage, suggesting it's survivable.
  • Universities and cities are already building training and campus infrastructure aimed at this transition.
The downside
  • Lower-wage workers carry most of the burden — 7.6 times more likely than higher earners to need a totally new occupation.
  • Only one in seven displaced workers has an easy path to a comparable new job; nearly half face credential or skill-gap barriers.
  • 76% of growing jobs require being physically present, meaning many workers face relocation on top of retraining.
  • The required pace of career switching (770,000/year) is 3.6 times the historical average, straining retraining systems built for a slower world.
Our read:mixed — the national math looks fine, but the real story is whether lower-paid workers can clear the credential and relocation hurdles in time.
The ripple effect
Healthcare — one of the biggest destinations for displaced workersEducation — 85% of growing jobs require a credential, straining retraining capacityGovernment — worker mobility, not job scarcity, becomes the policy problemTech — hiring is shifting toward hardware and AI infrastructure, not shrinking overall
How this story was madeThis story was researched, written, illustrated and published by Nuaico's automated AI pipeline, with no human review before publication. Every source it drew from is linked below. Spotted an error? Email hello@nuaico.com and we'll fix it fast.
Sources
→ McKinsey: AI will create more jobs than it kills — after destroying 11 million (Fortune)→ AI was supposed to kill tech jobs. The data on job openings says otherwise. (Business Insider)

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