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AI Job Risk

Guide · 23 September 2026 · 5 min read

How many jobs will AI replace?

Estimates range from 9 to 47 percent of jobs because they count different things. The main figures side by side, and what has actually happened in 2026.

Nobody has a reliable count. The figures you see quoted range from 9 percent of jobs to 47 percent, and they disagree because they measure different things, not because one of them is right.

What can be counted is what has happened so far: AI was cited in US job cuts covering about 205,000 workers between January and August 2026, and Anthropic's economists found no systematic rise in unemployment among the workers most exposed to AI.

The estimates people quote

EstimateSourceWhat it actually counts
47% of US employmentFrey and Osborne, Oxford, 2013Jobs in occupations rated at high risk of automation over "some unspecified number of years"
9% of jobsArntz, Gregory and Zierahn, OECD, 2016Jobs where nearly every task could be automated
A quarter of US work tasksGoldman Sachs, 2023Tasks, not jobs, that generative AI could in principle automate
92 million jobs displaced, 170 million created by 2030World Economic Forum, Future of Jobs 2025Employer survey expectations, net gain of 78 million

Two of these count occupations, one counts tasks and one counts what employers expect to do. None of them is a forecast of how many people will lose a job to AI. The Oxford paper says so directly: its authors write that they make no attempt to estimate the number of jobs that will actually be automated. What that study did and did not say is worth reading before you repeat its number.

Why the numbers are so far apart

A job is a bundle of tasks. If you ask whether the main tasks of an occupation can be automated, and label the whole occupation at risk when they can, you get a large number like 47 percent. If you ask how many individual workers do almost nothing that a machine cannot, you get a small one like 9 percent, because most people spend part of their week on work that resists automation.

Generative AI made the gap more visible, not smaller. It changes pieces of a very large number of jobs at once. Goldman's estimate that roughly two thirds of US occupations have some exposure, while only about a quarter of work tasks could be automated, is that pattern in two numbers.

What has actually happened in 2026

Job cuts. Tracking by ResumePulse counted about 205,000 US workers in cuts where AI or automation was cited as a driver through August, concentrated in customer service, data operations, entry level software and finance back offices. Our breakdown by occupation compares those categories with our scores.

Unemployment. Anthropic's March 2026 labor market paper found no systematic increase in unemployment for highly exposed workers since late 2022. It did find a roughly 14 percent drop in the job finding rate for workers aged 22 to 25 in exposed occupations, which the authors called barely statistically significant.

Actual use. In the same research, only eleven of 756 occupations had more than half their tasks showing up in automated, work related AI use. The list is short and specific.

What our index shows

We score 961 occupations against published research. Right now zero of them score 70 or above, the band we call high risk. Most sit in the middle, where parts of the job automate and the rest of the job changes around them. The statistics page keeps the headline figures current.

The number that applies to you

A national estimate cannot tell you whether your job is one of the ones that change first. That depends on your occupation and on how much of your own week is routine, text based work. The assessment answers that for your role in about two minutes, free and without signing up.

Where does your job sit?

Every number above is an occupation average. Your own exposure depends on your seniority, your sector and how much of your day is routine. Answer a few questions and get your personal score free.

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Figures come from the AI Job Risk Index and were current when this was published. Scores change as new research is ingested, so the index is always the live version. See how scoring works. Informational guidance based on published research, not professional career or financial advice.