Every career, mapped for the AI era.

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831 careers, up from 35 last year Updated 12 October 2026 What is new this year Free, no sign-up

This year, 831 careers. Last year, 35.

We rebuilt the research from the ground up for 2026. It is still free, there is still no sign-up, and it will stay that way.

What you get2025 edition2026 edition
Careers35831, across 22 kinds of work
Sources1720, each read in the original
Data behind itA score for each careerMore than 70,000 data points
For each careerA score, pay and growthPay, growth, openings and the route in; how much AI and robots can do; where people already use AI and the work it rarely touches; the human strengths it needs; everyday tasks; what drives demand; similar careers
QuestionsNot availableAsk in plain words, and Mr Thoob explains
PriceFreeFree

Six research teams, one page

Every career page joins research that normally lives in six different places.

  • US Bureau of Labor StatisticsJobs, pay, growth to 2035, openings, the route in, and what drives demand
  • O*NET, US Department of LaborEveryday tasks and the skills and abilities each job needs
  • Microsoft ResearchWhere people already use AI at work, from 200,000 Copilot conversations
  • AnthropicHow much of each job people already use AI for, and what robots can do
  • OpenAI and the University of PennsylvaniaHow much of each job AI could do in theory, published in Science
  • Felten, Raj and SeamansHow closely AI's abilities match the abilities each job relies on

To do this yourself you would download each dataset and match all 831 jobs by their government codes. We did that, and an independent check matched every career to the government figures.

A year is a long time in AI

Six findings from the past year, each checked in the original report. The change is fast, and there is still time to prepare.

What the new evidence changed

27 careers appear in both editions. Last year we leaned on what AI could do in theory; this year we can also see what people actually use it for at work. Here is how those careers moved against each other, and why.

Climbed

  1. 10th 1st

    The Bureau of Labor Statistics expects 29.5% more jobs by 2035, and AI barely touches the climbing and repair work.

  2. 6th 2nd

    Data centres are creating work here: BLS links rising demand to new data centres and grid upgrades.

  3. 20th 9th

    AI helps with research and presenting it, but planning and directing research is work AI rarely helps with. BLS expects 12.6% growth.

  4. 21st 12th

    The people who build AI: BLS expects 21.8% growth, driven partly by AI itself.

  5. 15th 7th

    AI helps with permits and paperwork, while directing the work on site stays a people job. BLS expects 9.1% growth.

Slipped

  1. 3rd 16th

    Much of the advising on courses and careers is work people already use AI for (Microsoft, 2025). BLS still expects schools to add counsellors.

  2. 5th 21st

    AI already helps prepare teaching materials, and BLS expects jobs to hold roughly flat. Assessing each child and planning their programme are work AI rarely helps with.

  3. 3rd 9th

    BLS expects nurse practitioners and physician assistants to take on more of the work. Nurse practitioners stay near the top, at 5th.

  4. 13th 20th

    AI helps with lesson materials and BLS expects little change in jobs. Assessing pupils and planning lessons are work AI rarely helps with.

Why are this year's scores lower? The 2026 index ranks every career against all 831, so a typical career now scores about 50. Compare positions, not last year's numbers. How we score

The career map

Every dot is a career. Left to right shows how much of the work AI can already help with or do. Bottom to top shows whether US employers are expected to hire more people into it by 2035. Tap a dot, or a corner below, to explore.

Explore all 831 careers

Filter by the things that matter at home: the kind of work, how long the training takes, and the strengths your child already shows. Tick up to three to compare.

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Where the evidence comes from

We read the original reports and use the published data, not summaries. Every figure on this page can be traced to one of these sources.

How we score careers

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