Job Task AI Exposure Score (rough self-assessment, 0–100)

How it works

Six questions, each worth 0–4 points; the points are added and scaled to 0–100 (score = points ÷ 24 × 100). Higher means more of the job consists of tasks today’s AI tools can help with or take over: computer and text work, routine steps, little physical or face-to-face work, and mistakes that are cheap to fix. Bands: under 30 low, 30–60 medium, over 60 high. All questions have equal weight. This is a transparent rough self-assessment of task exposure — not a prediction that a job will disappear; exposure often means the job changes rather than goes away.

⚠ Estimates for information only — not financial advice.

FAQ

Does a high score mean I will lose my job?

No. It means many of your tasks are ones AI can help with. Research on exposure finds that jobs often change — people spend less time on routine drafting and more on judgement and people work.

How can I use the result?

Look at which factor gives the most points and list the specific tasks behind it. Those are the tasks where learning AI tools pays off first, and where human checking matters most.

Checked 10 Nov 2026. Our own transparent scoring. The task-based idea follows Eloundou et al., “GPTs are GPTs: Labor market impact potential of LLMs” (Science, 2024), and the bottlenecks to automation (physical work, social intelligence) described by Frey & Osborne (Technological Forecasting and Social Change, 2017).