EXPOSURE TO AI
9%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
1%
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.
9% 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
- Keep records and accounts
- Estimate expected food consumption, requisition or purchase supplies, or procure food from storage
- Consult with supervisory staff to plan menus, taking into consideration factors such as costs and special event needs
- Plan and price menu items
WHAT IT STILL CAN’T
- Inspect and clean food preparation areas, such as equipment, work surfaces, and serving areas, to ensure safe and sanitary food-handling practices
- Ensure freshness of food and ingredients by checking for quality, keeping track of old and new items, and rotating stock
- Ensure food is stored and cooked at correct temperature by regulating temperature of ovens, broilers, grills, and roasters
- Season and cook food according to recipes or personal judgment and experience
- Turn or stir foods to ensure even cooking
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 9% 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