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VTE

By the numbers

AI and jobs, by the numbers

How much AI really affects work according to research — not the day's headline. The numbers are about task overlap, not mass unemployment. Here's what the data says, with its sources.

≈80%

How many workers does AI affect?
Around 80% of the workforce could have at least 10% of their tasks affected by large language models; roughly 19%, at least 50%. 'Affected' doesn't mean 'eliminated': it means AI can do part of those tasks.

Source: Eloundou et al., “GPTs are GPTs” (2024)

10 of 22

How many professions are highly exposed?
Of the 22 major occupational groups, 10 are highly exposed, 5 medium and 7 low. Knowledge jobs with lots of on-screen information lead the list; manual and in-person care work close it.

Source: Our own aggregation of AIOE (Felten et al., 2021) + Eloundou et al. (2024) over 22 major occupational groups

89 vs 8

Which sector is the most and the least exposed?
The most exposed sector (Legal) scores 89/100; the least (Construction & trades), 8/100. A huge gap: AI doesn't reach every job equally.

Source: AIOE index (Felten et al., 2021), aggregated to 22 occupational groups

Changes them

Does AI destroy jobs or change them?
Exposure measures how much of a job overlaps with AI, not whether the job disappears. The norm isn't a profession vanishing overnight, but a change in which tasks are done and how.

The opposite

Do the most exposed lose out?
Not necessarily. The most exposed sectors are often the ones that gain the most productivity by using AI well. What decides the outcome isn't exposure, but what you do with it.

Your next step

And your job? Put a number on it: the test tells you your exposure in 2 minutes, and the book what to do about it.