Recepcionistas
Escritório e Suporte AdministrativoExposição à IA
- Fonte dos dados: BLSPublicado: '26.08
Muito alto· 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
0.434
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
0.57
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, 7% 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 % | APIRaw / share % |
|---|---|---|
Process and prepare memos, correspondence, travel vouchers, or other documents.43-4171 | 0.071477.2 | 0.01107.8 |
Calculate and quote rates for tours, stocks, insurance policies, or other products or services.43-4171 | 0.00808.6 | —0 |
Analyze data to determine answers to questions from customers or members of the public.43-4171 | 0.00798.5 | 0.096168.1 |
Hear and resolve complaints from customers or the public.43-4171 | 0.00333.6 | 0.00946.7 |
Schedule space or equipment for special programs and prepare lists of participants.43-4171 | 0.00192.0 | —0 |
Schedule appointments and maintain and update appointment calendars. | —0 | 0.01047.4 |
Operate telephone switchboard to answer, screen, or forward calls, providing information, taking messages, or scheduling appointments. | —0 | 0.00553.9 |
Provide information about establishment, such as location of departments or offices, employees within the organization, or services provided. | —0 | 0.00332.3 |
Transmit information or documents to customers, using computer, mail, or facsimile machine. | —0 | 0.00292.0 |
File and maintain records. | —0 | 0.00251.8 |
| Not observed on any surface — 9 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. | ||
Receive payment and record receipts for services. | —0 | —0 |
Perform administrative support tasks, such as proofreading, transcribing handwritten information, or operating calculators or computers to work with pay records, invoices, balance sheets, or other documents. | —0 | —0 |
Greet persons entering establishment, determine nature and purpose of visit, and direct or escort them to specific destinations. | —0 | —0 |
Collect, sort, distribute, or prepare mail, messages, or courier deliveries. | —0 | —0 |
Keep a current record of staff members' whereabouts and availability. | —0 | —0 |
Take orders for merchandise or materials and send them to the proper departments to be filled. | —0 | —0 |
Enroll individuals to participate in programs and notify them of their acceptance. | —0 | —0 |
Conduct tours or deliver talks describing features of public facilities, such as a historic site or national park. | —0 | —0 |
Perform duties, such as taking care of plants or straightening magazines to maintain lobby or reception area. | —0 | —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 |
|---|---|
Perform administrative support tasks, such as proofreading, transcribing handwritten information, or operating calculators or computers to work with pay records, invoices, balance sheets, or other documents.O*NET Task ID 746 | 1.0 |
Analyze data to determine answers to questions from customers or members of the public.O*NET Task ID 752 | 1.0 |
Calculate and quote rates for tours, stocks, insurance policies, or other products or services.O*NET Task ID 756 | 1.0 |
Process and prepare memos, correspondence, travel vouchers, or other documents.O*NET Task ID 758 | 1.0 |
Operate telephone switchboard to answer, screen, or forward calls, providing information, taking messages, or scheduling appointments.O*NET Task ID 744 | 0.5 |
Receive payment and record receipts for services.O*NET Task ID 745 | 0.5 |
Greet persons entering establishment, determine nature and purpose of visit, and direct or escort them to specific destinations.O*NET Task ID 747 | 0.5 |
Hear and resolve complaints from customers or the public.O*NET Task ID 748 | 0.5 |
File and maintain records.O*NET Task ID 749 | 0.5 |
Transmit information or documents to customers, using computer, mail, or facsimile machine.O*NET Task ID 750 | 0.5 |
Collect, sort, distribute, or prepare mail, messages, or courier deliveries.O*NET Task ID 755 | 0.0 |
Conduct tours or deliver talks describing features of public facilities, such as a historic site or national park.O*NET Task ID 761 | 0.0 |
Perform duties, such as taking care of plants or straightening magazines to maintain lobby or reception area.O*NET Task ID 762 | 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
mar. de 2026: ILO finds 408 million people globally lack adequate work while AI transforms office roles. Women 24.2% less likely to participate in labor force.
[Fonte: ILO WESO 2026]mar. de 2026: ILO: business administration and clerical support nearly twice as likely to be exposed to GenAI.
[Fonte: ILO Research Brief, March 2026]mar. de 2026: ILO confirms receptionists among occupations driving gender AI gap; 88% of countries analyzed show women face higher generative AI risks than men
[Fonte: ILO: Gen AI, Occupational Segregation and Gender Equality (Mar 2026)]