Tell it what you do and how you spend your week. It estimates how exposed your role is to today's AI, how fast your industry and country are moving, and roughly when you'd feel it.
The score combines four things.
Sources: ILO Working Paper 140 (2025) · Stanford "Canaries in the Coal Mine", Aug 2026 update · PwC 2026 Global AI Jobs Barometer (summary)
It combines four things: how exposed your tasks are to current AI (based on your job family and how much of your work is screen-based, repetitive and written down), how much human shelter your role has (physical presence, trust, accountability and licensing), your seniority and own use of AI, and how fast your industry, country and employer are adopting AI. Pace changes the timeline, not the level of risk.
No. Exposure means AI can do some of your tasks. Most jobs mix many tasks, so the usual outcome is a role that changes or shrinks rather than disappears. The ILO's 2025 global index finds about one in four workers in jobs with some generative AI exposure, but only a small share in the highest-exposure group.
Clerical and administrative work is the most exposed, followed by customer service, writing and marketing, and finance and analysis roles. Jobs that need physical presence, hands-on skill or human care, such as skilled trades, nursing and social care, are among the least exposed.
Yes, in AI-exposed fields. Research from Stanford's Digital Economy Lab, updated in August 2026, found the sharpest employment declines among early-career workers in exposed occupations, especially where the knowledge needed is codified. Entry-level roles that need judgment have held up better.
It is a rough estimate from a transparent rules model, not a prediction about you. It reflects AI capability and adoption as of October 2026. Treat the years as a guide to when change is likely to start being felt in roles like yours.
No. The calculator runs entirely in your browser. Nothing you type is sent to a server or saved by this site.