Frequently asked questions

What to know before you read your result, and answers to the questions that come up most often.

What your badge says, and what it does not

The score shown is a share of tasks, not a probability of replacement. It answers one precise question: for what share of the tasks in your occupation does a generative AI cut the time to complete them by at least half, at equal quality? A score of 52 out of 100 means 52% of the occupation's tasks can be greatly accelerated, not that 52% of jobs disappear.

The distinction is not a wording detail. An accelerated task is a task you supervise rather than execute. The freed time moves toward what AI cannot do: judgement, relationships, accountability. That is exactly what the sheet breaks down, task by task.

Where the figures come from

Exposure comes from Eloundou et al., “GPTs are GPTs” (2023), the reference study on the subject, human-annotator series. Wages and growth projections come from the U.S. Bureau of Labor Statistics (May 2024). Courses and pivot occupations are an indicative editorial selection, built on top of these figures.

How to use this badge

The badge has two uses. The first is personal: read the sheet, spot the tasks you can delegate, and pick the course that moves your time toward your added value. The second is professional: share your badge to feed a conversation with your employer about how your role is evolving.

Keep the tool's honest limit in mind: the average score of an occupation predicts nothing about your role, your company or your market. It situates your occupation; it does not classify you.

My occupation has a high score: is it going to disappear?

No. The score measures the share of tasks that AI can accelerate by at least 50%, not the probability that your job disappears. A high score mainly means the occupation will change fast and a large part of the working time can be delegated. The sheet shows what stays human: judgement, relationships, accountability.

Where do the exposure values come from?

From Eloundou et al., “GPTs are GPTs” (2023), which estimates the exposure of more than a thousand occupations to large language models. The site uses that study's human-annotator series for all 60 occupations in the referential.

Why are wages in US dollars?

Because the most stable and up-to-date source, the U.S. Bureau of Labor Statistics, publishes in dollars. These figures are used only to compute the relative wage differences between occupations (as percentages), which stay readable in any country. Local wages (Canada, France) will be added later.

How are the courses chosen?

They have a single goal: move your time from delegable tasks toward your added value. Each course carries a relevance score for the occupation shown, plus indicators of duration, difficulty, cost and certification. Links to the featured courses are verified.

How are the pivot occupations chosen?

They are chosen as natural extensions of the current occupation: same family of skills, comparable or higher wage, and an AI exposure that raises the professional's value rather than threatening it. The wage gap is expressed as a percentage, which makes it comparable across countries.

My occupation is not in the list: what now?

The current version covers 60 reference occupations. The full referential, more than a thousand occupations from the Eloundou dataset, can be added gradually. Write to us to request an occupation: the most requested ones are added first.

Is the site free?

Yes, the tool is free and will stay free. The score is calculated in your browser. When you submit the assessment, your consent authorizes Job & AI to pass your contact details to partner training organizations, which may contact you. That is what funds the site. You may withdraw that consent at any time.