EXPOSURE TO AI
42%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
A co-pilot is coming for the busywork, not the wheel.
42% 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. In the blast radius. A real slice of the work is already automatable. The rest isn’t.
WHAT AI CAN ALREADY DO
- Keep records required by government agencies regarding sanitation or food subsidies
- Create specialty dishes and develop recipes to be used in dining facilities
- Investigate and resolve complaints regarding food quality, service, or accommodations
- Maintain food and equipment inventories, and keep inventory records
- Coordinate assignments of cooking personnel to ensure economical use of food and timely preparation
WHAT IT STILL CAN’T
- Count money and make bank deposits
- Perform some food preparation or service tasks, such as cooking, clearing tables, and serving food and drinks when necessary
- Greet guests, escort them to their seats, and present them with menus and wine lists
- Test cooked food by tasting and smelling it to ensure palatability and flavor conformity
- Monitor food preparation methods, portion sizes, and garnishing and presentation of food to ensure that food is prepared and presented in an acceptable manner
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 42% 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