AnalysisEconomy & policy

McKinsey models 11 million US workers changing occupations by 2035

A new scenario study puts career transitions in focus. Our analysis asks how to turn that question into a practical plan.

Published 3 min read

Primary source released . Source dates appear below.

Conceptual editorial illustration of different pathways through a changing world of work
AI-generated editorial illustration. It is not a forecast or a depiction of reported workers.

What to know

  • The headline describes a conditional model output, not observed layoffs.
  • Our recommendation: investigate a specific destination role before buying retraining.
  • Keep a record of unanswered questions and test the assumptions behind a possible move.

What the new report estimates

McKinsey Global Institute’s September 29 report models roughly 11 million US workers needing to change occupations during 2025–2035. Its headline scenarios range from about 6 million to 16 million as adoption and labor substitution vary. Those are sensitivity tests, not firm bounds. The analysis includes automation beyond AI and broader economic change; it does not count realized layoffs.

Sources: McKinsey Global Institute

What sits behind the estimate

The model maps BLS occupations to about 1,800 Lightcast categories. It anchors aggregate employment growth to a BLS decade projection of approximately 3.1%, rather than independently forecasting total employment. Pathway inputs include job-posting skills and wages, credential requirements, and estimated training time. These describe modeled occupational matches, not a tracked cohort’s completed moves.

Sources: McKinsey Global Institute

Our analysis: make the destination concrete

We would use this report to start a small investigation. Choose one possible destination and find three current vacancies you could actually reach. For each, write down the first assignment you think a new employee would receive. If the descriptions leave that unclear, make it a question for someone familiar with the work. This is a proposed exercise, not a method validated by the report.

Next, create a short, non-confidential work sample for that assignment. An administrative worker considering an operations role might document how they would investigate a missed service deadline: what records to request, what conflicting explanations to check, and what recommendation the evidence would justify. The point is to discover the work behind the title before committing to a course.

Ask a reviewer to mark what is convincing, what is missing, and what would prevent them from trusting the recommendation. Separate gaps you can address through practice from requirements that need formal confirmation. Keep the feedback specific enough that a second attempt can demonstrate progress. This gives you a concrete learning question even if the national projection later changes.

A decision you can revisit

Set a review date and write down the next piece of evidence you need: an employer’s explanation, a better work sample, or confirmation of an entry requirement. Record the time and money you are willing to spend on that investigation. Avoid treating a broad national scenario as a deadline for resigning. Your next step can be modest and informative without settling your entire career.

Sources & method

AI-generated analysis with source review. Practical exercises are editorial proposals, not tested interventions. We conducted no new labor-market measurement.

  1. Workforce in motion: Skills and pathways to future jobs in the United States McKinsey Global Institute ·

Drafted and source-checked by Codex AI agents. Read our sourcing, illustration, and correction policy.

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What could this mean for your work?

See task exposure and potential career moves for roles connected to this story.