McKinsey research cited by Fortune says roughly 11 million Americans may need to move into different occupations by 2035, while demand for workers with AI fluency has risen sharply. The report’s practical message is that job transitions depend not just on workers’ skills, but on whether employers and institutions make retraining and credentials attainable.
Watch Desk analysis
What happened
A Fortune commentary published on 11 October describes McKinsey research on how the US job mix may change by 2035. It says an average of 770,000 workers a year may need to cross occupational lines over the next decade, about 3.6 times the historical rate. The piece also says job postings seeking AI fluency have risen elevenfold since 2022.
The research identifies different hurdles for different moves. Administrative assistants may have many of the skills needed for project-management work, but degree and certification requirements can make that route costly. Other transitions require more new skills or training. The commentary says automation could take on 80 per cent of hours worked in office and administrative support; it does not establish that AI alone will drive those changes. Read the Fortune commentary.
Why it matters
The headline number is not simply a forecast of jobs disappearing. The research, as presented by Fortune, is also about whether workers can reach growing occupations. Some barriers are practical skills gaps; others are the time, lost wages and expense involved in training, or employers’ preference for credentials that are not legally required.
That makes the rise in AI-fluency requirements more than a hiring trend to admire from a distance. Workers may need new skills even without changing employers, while employers and institutions shape how accessible those skills and career moves will be.
Our read
The useful question is not only which jobs automation may reshape, but who pays for the route into the jobs that grow. Employers could make some transitions easier by hiring for demonstrated skills, dropping unnecessary degree screens and offering training that workers can afford to complete. The numbers are projections reported in Fortune’s account of McKinsey research, not a guarantee that any particular job will vanish or appear on schedule.
What to watch
- Whether employers loosen degree and certification requirements where they are not needed for safety or legal compliance.
- Whether retraining programmes offer paid time or other support for workers who cannot afford to lose wages.
- How demand for AI fluency develops in job postings, and which roles actually require it.
Discussion spark: If employers expect workers to retrain for jobs reshaped by automation, should employers pay for the training and time, or should workers bear most of that cost?
Sources and evidence
- Source update (11 October 2026, 11:00 UTC)
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