Bartenders
Preparação de Alimentos e ServiçoExposição à IA
- Fonte dos dados: BLSPublicado: '26.08
Moderado· relativa
BaixoQuatro faixas relativasMuito altoValor por grupo ocupacional
Escala, base e fonte
Quatro faixas relativas (Baixo / Moderado / Alto / Muito alto)
831 ocupações detalhadas da tabela de projeções de emprego do BLS. O valor é atribuído por código da National Employment Matrix (NEM), pelo que as ocupações que partilham um código NEM recebem a mesma banda
- Fonte dos dados: AnthropicPublicado: '26.03
0.000
0.000Intervalo dos valores aqui apresentados0.745Escala, base e fonte
Índice de exposição observada, 0–1 tal como publicado
Mapeado sobre tarefas O*NET
- Fonte dos dados: ILOPublicado: '25
0.26
0.09Intervalo dos valores aqui apresentados0.70Valor por grupo ocupacional
Escala, base e fonte
Índice de exposição à IA generativa, 0–1 tal como publicado
Grupo de base CITP-08 — todas as ocupações com o mesmo código recebem este valor
Calculado por este site, não publicado pela OIT: das 1.012 ocupações que este site liga ao conjunto de dados da OIT, 76% atingem ou superam este valor.
Que tipo de valor esta fonte publica
A categoria de BLS é uma posição relativa, não um nível absoluto, e também não é uma medição de primeira mão: agrupa em quatro faixas as posições percentis da ocupação em vários estudos publicados. Não é uma previsão de emprego ou de salários, não é uma probabilidade de adoção e não distingue automação de aumento.
Task-level exposure
Apenas tarefas expostas| Task | Claude.aiRaw / share % |
|---|---|
Create drink recipes.35-3011 | 0.010042.1 |
Mix ingredients, such as liquor, soda, water, sugar, and bitters, to prepare cocktails and other drinks.35-3011 | 0.009138.3 |
Check identification of customers to verify age requirements for purchase of alcohol.35-3011 | 0.002711.5 |
Take beverage orders from serving staff or directly from patrons.35-3011 | 0.00208.2 |
| Not observed on any surface — 16 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Collect money for drinks served. | —0 |
Balance cash receipts. | —0 |
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. | —0 |
Clean glasses, utensils, and bar equipment. | —0 |
Serve wine, and bottled or draft beer. | —0 |
Clean bars, work areas, and tables. | —0 |
Serve snacks or food items to customers seated at the bar. | —0 |
Ask customers who become loud and obnoxious to leave, or physically remove them. | —0 |
Slice and pit fruit for garnishing drinks. | —0 |
Arrange bottles and glasses to make attractive displays. | —0 |
Stock bar with beer, wine, liquor, and related supplies such as ice, glassware, napkins, or straws. | —0 |
Order or requisition liquors and supplies. | —0 |
Plan, organize, and control the operations of a cocktail lounge or bar. | —0 |
Supervise the work of bar staff and other bartenders. | —0 |
Plan bar menus. | —0 |
Prepare appetizers such as pickles, cheese, and cold meats. | —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 |
|---|---|
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 |
Collect money for drinks served.O*NET Task ID 2223 | 0.0 |
Check identification of customers to verify age requirements for purchase of alcohol.O*NET Task ID 2224 | 0.0 |
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.O*NET Task ID 2226 | 0.0 |
Clean glasses, utensils, and bar equipment.O*NET Task ID 2227 | 0.0 |
Take beverage orders from serving staff or directly from patrons.O*NET Task ID 2228 | 0.0 |
Serve wine, and bottled or draft beer.O*NET Task ID 2229 | 0.0 |
Clean bars, work areas, and tables.O*NET Task ID 2230 | 0.0 |
Mix ingredients, such as liquor, soda, water, sugar, and bitters, to prepare cocktails and other drinks.O*NET Task ID 2231 | 0.0 |
Serve snacks or food items to customers seated at the bar.O*NET Task ID 2232 | 0.0 |
Ask customers who become loud and obnoxious to leave, or physically remove them.O*NET Task ID 2234 | 0.0 |
Slice and pit fruit for garnishing drinks.O*NET Task ID 2235 | 0.0 |
Supervise the work of bar staff and other bartenders.O*NET Task ID 2238 | 0.0 |
Prepare appetizers such as pickles, cheese, and cold meats.O*NET Task ID 2240 | 0.0 |
Stock bar with beer, wine, liquor, and related supplies such as ice, glassware, napkins, or straws.O*NET Task ID 18735 | 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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
Occupation information
Alterações recentes que afetam esta ocupação
mai. de 2026: Anthropic observed-exposure score: 0% (physical/in-person). Zero observed exposure. Physical/in-person work — AI deployment effectively absent.
[Fonte: Anthropic Economic Research (Massenkoff & McCrory, 2026)]