Bartenders

Food Preparation and Serving Related Occupations

O*NET-SOC code: 35-3011.00

Mix and serve drinks to patrons, directly or through waitstaff.

Data source: BLSPublished: 2026-08
Moderate· 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
0.000
0.000Range of values carried here0.745
Scale, basis and source
Observed exposure index, 0–1 as published
Mapped onto O*NET tasks
Published per SOC 2018 occupation; every O*NET occupation with the same SOC 2018 code carries this value
Source dataset (CSV download)
Data source: ILOPublished: 2025
0.26
0.09Range of values carried here0.70
Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
Published per ISCO-08 unit group. Linked to this occupation, wholly or in part, by applying U.S. Bureau of Labor Statistics crosswalks (ISCO-08 to 2010 SOC, 2010 SOC to 2018 SOC) as published
Source dataset (PDF download)

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 17 hidden tasks

20 rated tasks · 6 tasks with β ≥ 0.5 (30.0%)

β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.

Source unit: O*NET 27.2 tasks → O*NET 31.0 occupation code
All rated tasks are in the O*NET 31.0 task list.

Source: OpenAI "GPTs are GPTs" exposure rubric
Release: gh-main-0471612
License: MIT License, Copyright (c) 2024 OpenAI

Task (O*NET 20.1)	Claude.aiRaw / share %
Mix ingredients, such as liquor, soda, water, sugar, and bitters, to prepare cocktails and other drinks. 35-3011.00	0.008758.4
Create drink recipes. 35-3011.00	0.004630.9
Check identification of customers to verify age requirements for purchase of alcohol. 35-3011.00	0.001610.7

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 (O*NET 27.2)	βE1 + 0.5 × E2
Balance cash receipts. O*NET Task ID 2225	1.0
Create drink recipes. O*NET Task ID 2241	1.0
Order or requisition liquors and supplies. O*NET Task ID 2233	0.5
Arrange bottles and glasses to make attractive displays. O*NET Task ID 2236	0.5
Plan, organize, and control the operations of a cocktail lounge or bar. O*NET Task ID 2237	0.5
Plan bar menus. O*NET Task ID 2239	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

All O*NET 31.0 task statements (20)

All O*NET 31.0 task statements for this occupation (English, as published; task type core or supplemental). Exposure values are not listed here; they are in the table above, next to each task statement as worded in the O*NET version each source used.

Task (O*NET 31.0)	Type
Collect money for drinks served.	Core
Check identification of customers to verify age requirements for purchase of alcohol.	Core
Balance cash receipts.	Core
Attempt to limit problems and liability related to customers' excessive drinking by taking steps such as persuading customers to stop drinking, or ordering taxis or other transportation for intoxicated patrons.	Core
Clean glasses, utensils, and bar equipment.	Core
Take beverage orders from serving staff or directly from patrons.	Core
Serve wine, and bottled or draft beer.	Core
Clean bars, work areas, and tables.	Core
Mix ingredients, such as liquor, soda, water, sugar, and bitters, to prepare cocktails and other drinks.	Core
Serve snacks or food items to customers seated at the bar.	Core
Ask customers who become loud and obnoxious to leave, or physically remove them.	Core
Slice and pit fruit for garnishing drinks.	Core
Arrange bottles and glasses to make attractive displays.	Core
Plan, organize, and control the operations of a cocktail lounge or bar.	Core
Create drink recipes.	Core
Stock bar with beer, wine, liquor, and related supplies such as ice, glassware, napkins, or straws.	Core
Order or requisition liquors and supplies.	Supplemental
Supervise the work of bar staff and other bartenders.	Supplemental
Plan bar menus.	Supplemental
Prepare appetizers such as pickles, cheese, and cold meats.	Supplemental

Anthropic, "What work can robots do?"2026-09

0.84/ 3· Robot exposure index

0 none3 unstructured settings

Scale, basis and source

Each physical task is graded 0–3 by the setting in which robots that have been deployed, sold or demonstrated could do it (0 none · 1 purpose-built robot settings such as a fenced machine cell or a bottling line · 2 structured facilities such as a hospital pharmacy or a container port · 3 unstructured settings such as a private home or a construction site), and the grades are averaged by share of working time

Physical tasks among this occupation's O*NET 29.3 tasks

Anthropic estimated the grades and time shares with Claude Opus 5 using web search, as of 2026.

Source dataset

The robot exposure index is a different measure from the AI exposure figures on this site and cannot be added to or compared with them. It does not measure actual adoption or cost, and 0 also covers occupations with no physical tasks.

Tier of each physical task

Robot environment tiers (E0–E3)

E0 noneDetails
Rated not doable by robots that have been deployed, sold or demonstrated, even in a purpose-built setting
E1 purpose-built robot settingsDetails
Rated doable in a setting built around the machine, such as a fenced machine cell or a bottling line
E2 structured facilitiesDetails
Rated doable in a human work facility that an institution keeps to a working standard, such as a hospital pharmacy or a container port
E3 unstructured settingsDetails
Rated doable in a setting that no institution keeps to a working standard, such as a private home or a construction site

Only tasks classified as physical are listed; other tasks have no tier in the source.

Task (O*NET 29.3)	Robot environment tier
Collect money for drinks served.	E2 structured facilities
Balance cash receipts.	E2 structured facilities
Clean glasses, utensils, and bar equipment.	E1 purpose-built robot settings
Serve wine, and bottled or draft beer.	E1 purpose-built robot settings
Clean bars, work areas, and tables.	E1 purpose-built robot settings
Mix ingredients, such as liquor, soda, water, sugar, and bitters, to prepare cocktails and other drinks.	E1 purpose-built robot settings
Serve snacks or food items to customers seated at the bar.	E1 purpose-built robot settings
Slice and pit fruit for garnishing drinks.	E1 purpose-built robot settings
Arrange bottles and glasses to make attractive displays.	E1 purpose-built robot settings
Create drink recipes.	E0 none
Stock bar with beer, wine, liquor, and related supplies such as ice, glassware, napkins, or straws.	E1 purpose-built robot settings
Prepare appetizers such as pickles, cheese, and cold meats.	E1 purpose-built robot settings

Employment outlook (BLS)

Employment, 2025: 763K
Projected employment, 2035: 801K
Change (2025–35): +5%
Median annual wage, 2025: $34,340
Typical education needed for entry: No formal educational credential

lowest $30,890median wage across 825 detailed occupations, BLS EP 2025–35highest $559,030

Source: U.S. Bureau of Labor Statistics, Employment Projections 2025–35 — Employment by detailed occupation, 2025 and projected 2035

Korea classification links (KSCO)

Links from the current release of the Korea Occupation Direct Crosswalk v1.1, made by AI Changing Work. Relation values are read from the O*NET-SOC occupation side.

KSCO code	KSCO title	Relation	Status
45220	바텐더	Same scope	confirmed
45313	주류 서비스 종사원	Related, not a match	confirmed

Relation and status definitions(kr-direct v1.1)

ILO occupational description

AI Changing Work links the ISCO-08 unit groups below to this occupation by applying the U.S. Bureau of Labor Statistics crosswalks (2018 SOC to 2010 SOC, 2010 SOC to ISCO-08) as published, without case-by-case selection; each link may be whole or partial.

ISCO-08 5132Bartenders

The definition, tasks and examples below are the ILO's description of that unit group, not of this occupation.

Bartenders prepare, mix and serve alcoholic and non-alcoholic drinks directly to customers over a bar or counter, or through waiters.

Tasks

(a) taking beverage orders from serving staff or directly from patrons;
(b) preparing and serving alcoholic and non-alcoholic drinks at a bar;
(c) washing used glassware, cleaning and maintaining bar service areas, tea and coffee-making areas and equipment such as espresso machines;
(d) collecting payment for sales, operating cash registers and balancing cash receipts;
(e) tapping kegs and attaching supply lines;
(f) assisting in keeping bar properly stocked and arranging bottles and glasses;
(g) checking identification of customers to verify age requirements for purchase of alcohol;
(h) taking steps to limit problems related to excessive drinking such, as persuading customers to stop drinking, declining further service and ordering transportation;
(i) mixing ingredients to prepare cocktails and other drinks;
(j) serving snacks or other food items to customers at the bar.

Example occupations

Bartender

Sources: ILO ISCO-08 — details: Credits

ESCO occupational vocabulary

Each entry below is matched to this occupation in the published ESCO-O*NET Crosswalk (version 1, 2022). The match types are that crosswalk's; the wording is AI Changing Work's.

bartenderESCO 5132.1Same scope
Bartenders serve alcoholic or non-alcoholic drinks as requested by clients in a hospitality service bar outlet.
cocktail bartenderESCO 5132.1.2This occupation is broader
Cocktail bartenders perform expert mixing of alcoholic and non-alcoholic cocktails.

Source: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)

License: CC BY 4.0 (EU Reuse Notice)

View original

ESCO reuse terms and the modification notice are in Credits.

France classification links (ROME)

AI Changing Work's links between this occupation and ROME 4.0 job profiles, judged with AI models. Relations are read from this occupation's side. Links marked “provisional” were adopted on the judgments of two judges from the same model family (Claude) alone, or by an operator rule applied to their judgments, so they rest on weaker evidence than confirmed links.

ROME code	ROME title (French)	Relation
G1801	Barman / Barmaid	Same scopeprovisional
G1808	Chef barman / Cheffe barmaid	This occupation is broaderprovisional

Source: France Travail — Répertoire Opérationnel des Métiers et des Emplois (ROME 4.0), version 61, last updated 15 June 2026 (https://www.data.gouv.fr/datasets/repertoire-operationnel-des-metiers-et-des-emplois-rome). Licence Ouverte 2.0.

ROME codes and titles are reproduced unchanged; the links to O*NET-SOC occupations are AI Changing Work's own judgment and are not a France Travail correspondence.

(AI Changing Work link release: fr-direct v1)

Spain classification links (CNO-11)

AI Changing Work's links between this occupation and CNO-11 occupations, judged with AI models. Relations are read from this occupation's side.

CNO-11 code	CNO-11 title (Spanish)	Relation
5120	Camareros asalariados	This occupation is narrower
5000	Camareros y cocineros propietarios	Related, not a match

Source: Instituto Nacional de Estadística (INE), National Classification of Occupations 2011 (CNO-11, Royal Decree 1591/2010) — www.ine.es · Licensed CC BY 4.0. CNO-11 codes and Spanish titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not an INE correspondence.

(AI Changing Work link release: es-direct v1)

Germany classification links (KldB)

AI Changing Work's links between this occupation and KldB occupations, judged with AI models. Relations are read from this occupation's side.

KldB code	KldB title (German)	Relation
63322	Barkeeper/innen - fachlich ausgerichtete Tätigkeiten	Same scopeprovisional
63301	Berufe im Gastronomieservice (ohne Spezialisierung) - Helfer-/Anlerntätigkeiten	Related, not a matchprovisional

Source: © Statistik der Bundesagentur für Arbeit — Klassifikation der Berufe 2010 – überarbeitete Fassung 2020, https://statistik.arbeitsagentur.de. KldB codes and titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own mapping (eigene Zuordnung) and are not a Bundesagentur für Arbeit correspondence.

(AI Changing Work link release: de-direct v1)

Japan classification links (JSCO)

AI Changing Work's links between this occupation and JSCO occupations, judged with AI models. Relations are read from this occupation's side.

JSCO code	JSCO title (Japanese)	Relation
392	バーテンダー	Same scopeprovisional

Source: Ministry of Internal Affairs and Communications (MIC), Japan Standard Occupational Classification (Dec. 2009, MIC Notification No. 555). JSCO codes and Japanese titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not a MIC correspondence.

(AI Changing Work link release: jp-direct v1)

Sources, licenses and AI Changing Work's modification and translation notices for this page: Credits & sources