EXPOSURE TO AI
13%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Robots can’t hold a hand, a scalpel, or your nerve.
13% 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. Certified hard to automate. Today’s AI barely touches the core of this one.
WHAT AI CAN ALREADY DO
- Record quantity of meat received and issued to cooks or keep records of meat sales
- Estimate requirements and order or requisition meat supplies to maintain inventories
- Total sales, and collect money from customers
WHAT IT STILL CAN’T
- Prepare and place meat cuts and products in display counter to appear attractive and catch the shopper's eye
- Wrap, weigh, label, and price cuts of meat
- Cut, trim, bone, tie, and grind meats, such as beef, pork, poultry, and fish, to prepare in cooking form
- Prepare special cuts of meat ordered by customers
- Receive, inspect, and store meat upon delivery to ensure meat quality
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 13% 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