OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The robots can help. They can’t replace the room you read.
24% 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. Mostly safe. AI helps around the edges, but the job stays human.
WHAT AI CAN ALREADY DO
- Plan menus according to employers' needs and diet restrictions
- Keep records pertaining to menus, finances, and other business-related issues
- Shop for or order food and kitchen supplies and equipment
- Create and explore new cuisines
WHAT IT STILL CAN’T
- Stock, organize, and clean kitchens and cooking utensils
- Cool, package, label, and freeze foods for later consumption and provide instructions for reheating
- Peel, wash, trim, and cook vegetables and meats, and bake breads and pastries
- Prepare meals in private homes according to employers' recipes or tastes, handling all meals for the family and possibly for other household staff
- Specialize in preparing fancy dishes or food for special diets
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 24% 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