Concierges
Food Preparation & ServiceAI exposure
- Data source: BLSPublished: 2026-08
Very high· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.188
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.51
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 17% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Show 10 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Provide information about local features, such as shopping, dining, nightlife, or recreational destinations.39-6012 | 0.082986.8 | 0.007660.3 |
Make reservations for patrons, such as for dinner, spa treatments, or golf tee times, and obtain tickets to special events.39-6012 | 0.00515.3 | 0.005039.7 |
Provide business services for guests, such as sending or receiving faxes or shipping packages.39-6012 | 0.00404.2 | —0 |
Plan special events, parties, or meetings, which may include booking musicians or celebrities.39-6012 | 0.00181.9 | —0 |
Make travel arrangements for sightseeing or other tours.39-6012 | 0.00171.8 | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Perform office duties on a temporary basis when needed.O*NET Task ID 4532 | 1.0 |
Arrange for interpreters or translators when patrons require such services.O*NET Task ID 4536 | 1.0 |
Provide information about local features, such as shopping, dining, nightlife, or recreational destinations.O*NET Task ID 4529 | 0.5 |
Make travel arrangements for sightseeing or other tours.O*NET Task ID 4530 | 0.5 |
Carry out unusual requests, such as searching for hard-to-find items or arranging for exotic services, such as hot-air balloon rides.O*NET Task ID 4534 | 0.5 |
Arrange for the replacement of items lost by travelers.O*NET Task ID 4535 | 0.5 |
Make reservations for patrons, such as for dinner, spa treatments, or golf tee times, and obtain tickets to special events.O*NET Task ID 20259 | 0.5 |
Provide directions to guests.O*NET Task ID 20260 | 0.5 |
Provide business services for guests, such as sending or receiving faxes or shipping packages.O*NET Task ID 20261 | 0.5 |
Plan special events, parties, or meetings, which may include booking musicians or celebrities.O*NET Task ID 20262 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page