OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Lightly singed at worst. Carry on.
26% 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
- Analyze recipes to assign prices to menu items, based on food, labor, and overhead costs
- Record production or operational data on specified forms
- Determine how food should be presented and create decorative food displays
- Recruit and hire staff, such as cooks and other kitchen workers
- Estimate amounts and costs of required supplies, such as food and ingredients
WHAT IT STILL CAN’T
- Monitor sanitation practices to ensure that employees follow standards and regulations
- Check the quality of raw or cooked food products to ensure that standards are met
- Check the quantity and quality of received products
- Supervise or coordinate activities of cooks or workers engaged in food preparation
- Instruct cooks or other workers in the preparation, cooking, garnishing, or presentation of food
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 26% 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