OBSERVED IN REAL USE · Anthropic 2026
12%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
You might want to sit down for this one.
68% of this role’s O*NET tasks are within reach of today’s AI. That is the core-weighted exposure score from Eloundou et al. 2023 (“GPTs are GPTs”). It measures a capability ceiling, not a headcount forecast. Deeply cooked. Almost the entire task list is something a model can already attempt.
WHAT AI CAN ALREADY DO
- Warn violators of infractions or penalties
- Advise licensees or other individuals or groups concerning licensing, permit, or passport regulations
- Prepare reports of activities, evaluations, recommendations, or decisions
- Report law or regulation violations to appropriate boards or agencies
- Score tests and observe equipment operation and control to rate ability of applicants
WHAT IT STILL CAN’T
- Administer oral, written, road, or flight tests to license applicants
- Visit establishments to verify that valid licenses or permits are displayed and that licensing standards are being upheld
THE HONEST PART. A percentage is not a pink slip. High exposure usually means a role shrinks and shifts toward judgment, direction and responsibility: the parts a model can’t sign its name to. Exposure ≠ displacement. Breathe.
"My job is 68% cooked. What’s yours?"
SOURCES: O*NET 30.3 occupational tasks · Eloundou et al. 2023 (“GPTs are GPTs”,
arXiv:2303.10130) · Anthropic Economic Index 2026 (CC-BY) |
how this is calculated |
last updated 2026-07-16