OBSERVED IN REAL USE · Anthropic 2026
17%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The machines are eyeing your desk.
50% 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
- Post charges, such as those for rooms, food, liquor, or telephone calls, to ledgers, manually or by using computers
- Record guest comments or complaints, referring customers to managers as necessary
- Transmit and receive messages, using telephones or telephone switchboards
- Date-stamp, sort, and rack incoming mail and messages
- Contact housekeeping or maintenance staff when guests report problems
WHAT IT STILL CAN’T
- Issue room keys and escort instructions to bellhops
- Clean and maintain lobby and common areas, such as restocking supplies and watering plants
- Prepare for basic food service, such as setting up continental breakfast or coffee and tea supplies
- Deposit guests' valuables in hotel safes or safe-deposit boxes
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 50% 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