EXPOSURE TO AI
47%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
n/a
Not yet measured in the Anthropic Economic Index. The exposure figure is a capability estimate only.
The boring parts are leaving. The judgment stays.
47% 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. In the blast radius. A real slice of the work is already automatable. The rest isn’t.
WHAT AI CAN ALREADY DO
- Provide clerks with information to print on price tags, such as price, mark-ups or mark-downs, manufacturer number, season code, or style number
- Negotiate prices, discount terms, or transportation arrangements with suppliers
- Recommend mark-up rates, mark-down rates, or merchandise selling prices
- Obtain information about customer needs or preferences by conferring with sales or purchasing personnel
- Authorize payment of invoices or return of merchandise
WHAT IT STILL CAN’T
- Conduct sales meetings to introduce new merchandise
- Train or supervise sales or clerical staff
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 47% 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