Role-specific sources · empirical signals where matched · BLS context

AI Job-Exposure Tracker

How AI exposure is shifting across 996 occupations - the biggest movers, the most- and least-exposed roles, and where yours stands.

Last updated November 1, 2026 · refreshed monthly

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Biggest movers

Largest score changes between October 18, 2026 and November 1, 2026. Rising means more exposed. Open any role to compare adjacent career paths.

How to read the tracker

How are AI-exposure scores calculated?

Each of 996 occupations gets a 0–100 estimate from O*NET-linked or curated role components, with Penn, Anthropic, and AIOE signals only where matched. BLS figures are separate labor-market context. The score estimates task exposure; it does not predict that the job disappears.

What does “biggest movers” mean?

The largest score changes between our two most recent score snapshots. We record a snapshot whenever any score changes, for example when we adopt a new O*NET release or update the empirical sources behind the scores. This page compares the scores between October 18, 2026 and November 1, 2026.

Does a high score mean the job will be automated?

No. This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

How often is the tracker updated?

Scores are recomputed monthly and whenever we adopt a new O*NET release; this page always compares the latest two score snapshots.

For teams, coaches & outplacement

Screening a cohort or advising clients? Get bulk scans, a team exposure map, and a shared dashboard.

Method: O*NET-linked and curated role components, with empirical AI signals only where matched. BLS figures are separate labor-market context. Full methodology →
Note: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.