Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop

Food Preparation & Service

AI exposure

  • Data source: BLSPublished: 2026-08

    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

    0.073

    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

    0.21

    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, 82% 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
Answer telephone calls and respond to inquiries or transfer calls.

O*NET Task ID 18751

1.0
Receive and record patrons' dining reservations.

O*NET Task ID 2301

0.5
Inform patrons of establishment specialties and features.

O*NET Task ID 2303

0.5
Prepare cash receipts after establishments close, and make bank deposits.

O*NET Task ID 2306

0.5
Prepare staff work schedules.

O*NET Task ID 2308

0.5
Hire, train, and supervise food and beverage service staff.

O*NET Task ID 2310

0.5
Plan parties or other special events and services.

O*NET Task ID 2311

0.5
Confer with other staff to help plan establishments' menus.

O*NET Task ID 2312

0.5
Perform marketing and advertising services.

O*NET Task ID 2313

0.5
Assign patrons to tables suitable for their needs and according to rotation so that servers receive an appropriate number of seatings.

O*NET Task ID 18749

0.5
Provide guests with menus.

O*NET Task ID 2296

0.0
Greet guests and seat them at tables or in waiting areas.

O*NET Task ID 2297

0.0
Maintain contact with kitchen staff, management, serving staff, and customers to ensure that dining details are handled properly and customers' concerns are addressed.

O*NET Task ID 2302

0.0
Direct patrons to coatrooms and waiting areas, such as lounges.

O*NET Task ID 2304

0.0
Operate cash registers to accept payments for food and beverages.

O*NET Task ID 2305

0.0
Supervise and coordinate activities of dining room staff to ensure that patrons receive prompt and courteous service.

O*NET Task ID 2307

0.0
Order or requisition supplies and equipment for tables and serving stations.

O*NET Task ID 2309

0.0
Speak with patrons to ensure satisfaction with food and service, to respond to complaints, or to make conversation.

O*NET Task ID 18750

0.0
Inspect dining and serving areas to ensure cleanliness and proper setup.

O*NET Task ID 18752

0.0
Inspect restrooms for cleanliness and availability of supplies, and clean restrooms when necessary.

O*NET Task ID 18753

0.0
Take and prepare to-go orders.

O*NET Task ID 18754

0.0
Assist other restaurant workers by serving food and beverages, or by bussing tables.

O*NET Task ID 21070

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