AI exposure: Concierges
Assist patrons at hotel, apartment, or office building with personal services. May take messages; arrange or give advice on transportation, business services, or entertainment; or monitor guest requests for housekeeping and maintenance.
Reading this score
computedConcierges sits in the top 5% of every occupation measured. 60.1% of what this job consists of, weighted by how important each task is to the role, is work current AI systems can produce with little standing in the way. Very few occupations score this high. The ones that do tend to share a trait: the output is a document, a calculation or a message, and nobody has to be in a particular room for it to count.
No single friction dominates this occupation. The strongest is context at 1.04 out of 3 and the weakest is accountability at 0.25, which is a narrow spread. Where nothing structural stands in the way, exposure tracks capability almost directly, and capability is the thing that changes every quarter.
The most exposed thing this job does is Make reservations for patrons, at 86.7%. The least is Clean and tidy hotel lounge, at 0.0%. A gap of 86.7% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.
Within personal care and service occupations, this one is more exposed than most. The median across the 31 roles in the group is 23.4%, and only 0 of them score higher than this. Occupational families are not uniform, and the spread inside them is often wider than the gap between them.
What would move this score. Of 18 tasks, 14 are currently banded exposed, 1 assisted and 3 untouched. For that distribution to shift materially would take capability alone, since there is little structural friction here to slow adoption once a system can do the work. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Task by task
18 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Make reservations for patrons, such as for dinner, spa treatments, or golf tee times, and obtain tickets to special events. | 86.7% | 13.3% | 0.0% | 4.32 | exposed |
| Make travel arrangements for sightseeing or other tours. | 86.7% | 13.3% | 0.0% | 4.09 | exposed |
| Arrange childcare services for guests. | 86.7% | 13.3% | 0.0% | 3.89 | exposed |
| Carry out unusual requests, such as searching for hard-to-find items or arranging for exotic services, such as hot-air balloon rides. | 86.7% | 13.3% | 0.0% | 3.73 | exposed |
| Arrange for the replacement of items lost by travelers. | 86.7% | 13.3% | 0.0% | 3.40 | exposed |
| Provide business services for guests, such as sending or receiving faxes or shipping packages. | 86.7% | 13.3% | 0.0% | 3.35 | exposed |
| Arrange for interpreters or translators when patrons require such services. | 86.7% | 13.3% | 0.0% | 3.24 | exposed |
| Provide directions to guests. | 80.0% | 20.0% | 0.0% | 4.27 | exposed |
| Order flowers for guests. | 76.7% | 23.3% | 0.0% | 4.14 | exposed |
| Book airline or train tickets, reserve rental cars, or arrange shuttle service for guests. | 76.7% | 23.3% | 0.0% | 3.90 | exposed |
| Provide information about local features, such as shopping, dining, nightlife, or recreational destinations. | 55.0% | 20.0% | 25.0% | 4.59 | exposed |
| Perform office duties on a temporary basis when needed. | 50.0% | 25.0% | 25.0% | 3.59 | exposed |
| Assist guests with special needs by providing equipment such as wheelchairs. | 38.5% | 28.1% | 33.3% | 3.71 | exposed |
| Provide food and beverage services to guests. | 30.0% | 20.0% | 50.0% | 3.79 | exposed |
| Plan special events, parties, or meetings, which may include booking musicians or celebrities. | 23.3% | 26.7% | 50.0% | 3.94 | assisted |
| Pick up and deliver items or run errands for guests. | 0.0% | 0.0% | 100.0% | 4.05 | untouched |
| Receive, store, or deliver luggage or mail. | 0.0% | 0.0% | 100.0% | 3.65 | untouched |
| Clean and tidy hotel lounge. | 0.0% | 0.0% | 100.0% | 3.67 | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.
Where the score comes from
judgedEvery task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 2.93 | 0-4 |
| Embodiment | 0.89 | 0-3 |
| Presence | 1.01 | 0-3 |
| Accountability | 0.25 | 0-3 |
| Context | 1.04 | 0-3 |
| Verification cost | 0.31 | 0-3 |
What this means in practice
Where most of a role's weighted task load is exposed, the work that survives is usually the part of the job nobody wrote into the job description: deciding what should be produced rather than producing it, and being answerable for the result. The tasks lowest on this page are a better guide to where to spend your time than any general advice about the future of work.
Occupations either side of this one
The four closest scores in the same occupational family, then the four closest anywhere in the index.
Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.