OBSERVED IN REAL USE · Anthropic 2026
6%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Still standing — but the ground is warm.
51% 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. Heavily exposed. Most of the tasks are within reach of today’s AI.
WHAT AI CAN ALREADY DO
- Record production, operational, and personnel data on specified forms
- Observe and evaluate workers and work procedures to ensure quality standards and service, and complete disciplinary write-ups
- Estimate ingredients and supplies required to prepare a recipe
- Perform various financial activities, such as cash handling, deposit preparation, and payroll
- Assign duties, responsibilities, and work stations to employees in accordance with work requirements
WHAT IT STILL CAN’T
- Inspect supplies, equipment, and work areas to ensure efficient service and conformance to standards
- Perform food preparation and serving duties, such as carving meat, preparing flambe dishes, or serving wine and liquor
- Train workers in food preparation, and in service, sanitation, and safety procedures
- Supervise and participate in kitchen and dining area cleaning activities
- Greet and seat guests, and present menus and wine lists
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 51% 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