Tradutores e Intérpretes
Artes, Design, Entretenimento e MídiaExposição 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
0.430
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
0.59
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, 5% 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 % |
|---|---|
Read written materials, such as legal documents, scientific works, or news reports, and rewrite material into specified languages.27-3091 | 0.463952.0 |
Proofread, edit, and revise translated materials.27-3091 | 0.261429.3 |
Translate messages simultaneously or consecutively into specified languages, orally or by using hand signs, maintaining message content, context, and style as much as possible.27-3091 | 0.08739.8 |
Adapt translations to students' cognitive and grade levels, collaborating with educational team members as necessary.27-3091 | 0.02933.3 |
Check original texts or confer with authors to ensure that translations retain the content, meaning, and feeling of the original material.27-3091 | 0.01471.6 |
Follow ethical codes that protect the confidentiality of information.27-3091 | 0.00851.0 |
Check translations of technical terms and terminology to ensure that they are accurate and remain consistent throughout translation revisions.27-3091 | 0.00810.9 |
Compile terminology and information to be used in translations, including technical terms such as those for legal or medical material.27-3091 | 0.00580.6 |
Adapt software and accompanying technical documents to another language and culture.27-3091 | 0.00370.4 |
Discuss translation requirements with clients and determine any fees to be charged for services provided.27-3091 | 0.00360.4 |
| Not observed on any surface — 4 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. | |
Listen to speakers' statements to determine meanings and to prepare translations, using electronic listening systems as necessary. | —0 |
Educate students, parents, staff, and teachers about the roles and functions of educational interpreters. | —0 |
Train and supervise other translators or interpreters. | —0 |
Travel with or guide tourists who speak another language. | —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 |
|---|---|
Identify and resolve conflicts related to the meanings of words, concepts, practices, or behaviors.O*NET Task ID 9327 | 1.0 |
Translate messages simultaneously or consecutively into specified languages, orally or by using hand signs, maintaining message content, context, and style as much as possible.O*NET Task ID 9328 | 1.0 |
Proofread, edit, and revise translated materials.O*NET Task ID 9329 | 1.0 |
Check translations of technical terms and terminology to ensure that they are accurate and remain consistent throughout translation revisions.O*NET Task ID 9330 | 1.0 |
Read written materials, such as legal documents, scientific works, or news reports, and rewrite material into specified languages.O*NET Task ID 9331 | 1.0 |
Refer to reference materials, such as dictionaries, lexicons, encyclopedias, and computerized terminology banks, as needed to ensure translation accuracy.O*NET Task ID 9332 | 1.0 |
Compile terminology and information to be used in translations, including technical terms such as those for legal or medical material.O*NET Task ID 9333 | 1.0 |
Adapt translations to students' cognitive and grade levels, collaborating with educational team members as necessary.O*NET Task ID 9334 | 1.0 |
Listen to speakers' statements to determine meanings and to prepare translations, using electronic listening systems as necessary.O*NET Task ID 9335 | 1.0 |
Check original texts or confer with authors to ensure that translations retain the content, meaning, and feeling of the original material.O*NET Task ID 9336 | 1.0 |
Follow ethical codes that protect the confidentiality of information.O*NET Task ID 9326 | 0.0 |
Travel with or guide tourists who speak another language.O*NET Task ID 9342 | 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: New evergreen blog post: translators face highest disruption in arts/media. 68% automation risk, 74% exposure.
[Fonte: AI Changing Work Blog]