OBSERVED IN REAL USE · Anthropic 2026
7%
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.
23% 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
- Answer telephone calls and respond to inquiries or transfer calls
- Receive and record patrons' dining reservations
- Inform patrons of establishment specialties and features
- Assign patrons to tables suitable for their needs and according to rotation so that servers receive an appropriate number of seatings
- Prepare cash receipts after establishments close, and make bank deposits
WHAT IT STILL CAN’T
- Greet guests and seat them at tables or in waiting areas
- Operate cash registers to accept payments for food and beverages
- Take and prepare to-go orders
- Maintain contact with kitchen staff, management, serving staff, and customers to ensure that dining details are handled properly and customers' concerns are addressed
- Inspect dining and serving areas to ensure cleanliness and proper setup
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 23% 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