Hotel, Motel, and Resort Desk Clerks

Food Preparation & Service

AI exposure

  • Data source: BLSPublished: 2026-08

    Very high· relative

    LowFour relative bandsVery high

    Group-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

    Source dataset (XLSX download)

  • Data source: AnthropicPublished: 2026-03

    0.172

    0.000Range of values carried here0.745
    Scale, basis and source

    Observed exposure index, 0–1 as published

    Mapped onto O*NET tasks

    Source dataset

  • Data source: ILOPublished: 2025

    0.51

    0.09Range of values carried here0.70

    Group-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.

    Source dataset

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

Exposed tasks only

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.

TaskβE1 + 0.5 × E2
Post charges, such as those for rooms, food, liquor, or telephone calls, to ledgers, manually or by using computers.

O*NET Task ID 2617

1.0
Transmit and receive messages, using telephones or telephone switchboards.

O*NET Task ID 2618

1.0
Record guest comments or complaints, referring customers to managers as necessary.

O*NET Task ID 2622

1.0
Date-stamp, sort, and rack incoming mail and messages.

O*NET Task ID 2626

1.0
Greet, register, and assign rooms to guests of hotels or motels.

O*NET Task ID 2610

0.5
Verify customers' credit, and establish how the customer will pay for the accommodation.

O*NET Task ID 2611

0.5
Keep records of room availability and guests' accounts, manually or using computers.

O*NET Task ID 2612

0.5
Compute bills, collect payments, and make change for guests.

O*NET Task ID 2613

0.5
Review accounts and charges with guests during the check out process.

O*NET Task ID 2616

0.5
Contact housekeeping or maintenance staff when guests report problems.

O*NET Task ID 2619

0.5
Issue room keys and escort instructions to bellhops.

O*NET Task ID 2615

0.0
Deposit guests' valuables in hotel safes or safe-deposit boxes.

O*NET Task ID 2625

0.0
Clean and maintain lobby and common areas, such as restocking supplies and watering plants.

O*NET Task ID 18568

0.0
Prepare for basic food service, such as setting up continental breakfast or coffee and tea supplies.

O*NET Task ID 18569

0.0

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®, Eloundou et al. (2023): see full notices on the Credits page

Occupation information