Traducteurs et Interprètes
Arts, Design, Divertissement et MédiasExposition à l'IA
- Source des données: BLSPublié: '26.08
Très élevée· relative
FaibleQuatre bandes relativesTrès élevéeValeur par groupe professionnel
Échelle, base et source
Quatre bandes relatives (Faible / Modérée / Élevée / Très élevée)
831 métiers détaillés du tableau des projections d'emploi du BLS. La valeur est attribuée par code de la National Employment Matrix (NEM), si bien que les métiers partageant un code NEM reçoivent la même bande
- Source des données: AnthropicPublié: '26.03
0.430
0.000Étendue des valeurs présentées ici0.745Échelle, base et source
- Source des données: ILOPublié: '25
0.59
0.09Étendue des valeurs présentées ici0.70Valeur par groupe professionnel
Échelle, base et source
Indice d'exposition à l'IA générative, 0–1 tel que publié
Groupe de base CITP-08 — tous les métiers partageant le code reçoivent cette valeur
Calculé par ce site, non publié par l'OIT : sur les 1 012 professions que ce site relie au jeu de données de l'OIT, 5% atteignent ou dépassent cette valeur.
Quelle est la nature de la valeur publiée par cette source
La catégorie BLS est un rang relatif et non un niveau absolu, et ce n'est pas une mesure de première main : elle regroupe en quatre bandes les rangs centiles du métier dans plusieurs études publiées. Ce n'est ni une prévision d'emploi ou de salaire, ni une probabilité d'adoption, et elle ne distingue pas automatisation et augmentation.
Task-level exposure
Tâches exposées uniquement| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Read written materials, such as legal documents, scientific works, or news reports, and rewrite material into specified languages.27-3091 | 0.425459.1 | 0.156184.9 |
Proofread, edit, and revise translated materials.27-3091 | 0.227031.5 | 0.022812.4 |
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 | 0.02713.8 | —0 |
Compile terminology and information to be used in translations, including technical terms such as those for legal or medical material.27-3091 | 0.00941.3 | —0 |
Adapt translations to students' cognitive and grade levels, collaborating with educational team members as necessary.27-3091 | 0.00781.1 | 0.00341.8 |
Discuss translation requirements with clients and determine any fees to be charged for services provided.27-3091 | 0.00590.8 | —0 |
Check translations of technical terms and terminology to ensure that they are accurate and remain consistent throughout translation revisions.27-3091 | 0.00440.6 | 0.00160.9 |
Check original texts or confer with authors to ensure that translations retain the content, meaning, and feeling of the original material.27-3091 | 0.00440.6 | —0 |
Identify and resolve conflicts related to the meanings of words, concepts, practices, or behaviors.27-3091 | 0.00250.3 | —0 |
Refer to reference materials, such as dictionaries, lexicons, encyclopedias, and computerized terminology banks, as needed to ensure translation accuracy.27-3091 | 0.00230.3 | —0 |
| Not observed on any surface — 5 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. | ||
Follow ethical codes that protect the confidentiality of information. | —0 | —0 |
Listen to speakers' statements to determine meanings and to prepare translations, using electronic listening systems as necessary. | —0 | —0 |
Educate students, parents, staff, and teachers about the roles and functions of educational interpreters. | —0 | —0 |
Train and supervise other translators or interpreters. | —0 | —0 |
Travel with or guide tourists who speak another language. | —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 |
|---|---|
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
Évolutions récentes concernant ce métier
mars 2026: New evergreen blog post: translators face highest disruption in arts/media. 68% automation risk, 74% exposure.
[Source: AI Changing Work Blog]