Übersetzer und Dolmetscher
Kunst, Design, Unterhaltung und MedienKI-Exposition
- Datenquelle: BLSVeröffentlicht: '26.08
Sehr hoch· relativ
NiedrigVier relative BänderSehr hochWert auf Berufsgruppenebene
Skala, Bezugsmenge und Quelle
Vier relative Bänder (Niedrig / Mittel / Hoch / Sehr hoch)
831 detaillierte Berufe in der BLS-Beschäftigungsprojektionstabelle. Der Wert wird je Code der National Employment Matrix (NEM) vergeben, daher erhalten Berufe mit demselben NEM-Code dasselbe Band
- Datenquelle: AnthropicVeröffentlicht: '26.03
0.430
0.000Spannweite der hier geführten Werte0.745Skala, Bezugsmenge und Quelle
Index der beobachteten Exposition, 0–1 wie veröffentlicht
Auf O*NET-Aufgaben abgebildet
- Datenquelle: ILOVeröffentlicht: '25
0.59
0.09Spannweite der hier geführten Werte0.70Wert auf Berufsgruppenebene
Skala, Bezugsmenge und Quelle
Index der Exposition gegenüber generativer KI, 0–1 wie veröffentlicht
ISCO-08-Berufsgattung — alle Berufe mit demselben Code erhalten diesen Wert
Von dieser Website berechnet, nicht von der IAO veröffentlicht: Von den 1.012 Berufen, die diese Website mit dem IAO-Datensatz verknüpft, erreichen oder übertreffen 5% diesen Wert.
Welche Art von Wert diese Quelle veröffentlicht
Die Kategorie von BLS ist ein relativer Rang und kein absolutes Niveau, und sie ist keine eigene Messung: Sie fasst die Perzentilränge des Berufs aus mehreren veröffentlichten Studien in vier Bänder zusammen. Sie ist weder eine Beschäftigungs- oder Lohnprognose noch eine Einführungswahrscheinlichkeit und unterscheidet nicht zwischen Automatisierung und Augmentierung.
Task-level exposure
Nur exponierte Aufgaben| 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
Aktuelle Veränderungen mit Bezug zu diesem Beruf
März 2026: New evergreen blog post: translators face highest disruption in arts/media. 68% automation risk, 74% exposure.
[Quelle: AI Changing Work Blog]