EXPOSURE TO AI
12%
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.
12% 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
- Compile and maintain records of food use and expenditures
- Requisition food supplies, kitchen equipment, and appliances, based on estimates of future needs
- Plan menus that are varied, nutritionally balanced, and appetizing, taking advantage of foods in season and local availability
- Monitor menus and spending to ensure that meals are prepared economically
- Determine meal prices, based on calculations of ingredient prices
WHAT IT STILL CAN’T
- Cook foodstuffs according to menus, special dietary or nutritional restrictions, or numbers of portions to be served
- Rotate and store food supplies
- Wash pots, pans, dishes, utensils, or other cooking equipment
- Apportion and serve food to facility residents, employees, or patrons
- Clean and inspect galley equipment, kitchen appliances, and work areas to ensure cleanliness and functional operation
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 12% 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