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Interpreters and Translators

Interpret oral or sign language, or translate written text from one language into another.

52,060 people do this job in the US. $60,170 a year.

now
54%

of the working time. Estimate.

Kinds of work
  • 95%
  • 3%
  • 2%
43%

Measured, from Anthropic's usage data (2025). Counts help on part of a task.

Half the desk work within reach
Already

On the chosen pace and reliability. Estimate.

Share of the working time within reach, now to 2030

0%25%50%75%100%2027202820292030NowDesk work: 95% of the time
Chosen to Ceiling: the share
DateNow
NowEnd of 2030

What each choice means: , , , , . Every pace starts from .

At this date and pace, models finish tasks up to 4.4 h long four times in five.

How far this has come

With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 1%. With Claude Mythos Preview (early), measured in April 2026, 47%. Today's estimate: 54%.

0%25%50%2023202420252026GPT-4, March 2023: 0% within reachGPT-4 Turbo (Nov 2023), November 2023: 0% within reachGPT-4o, May 2024: 0% within reachClaude 3.5 Sonnet (June 2024), June 2024: 0% within reacho1-preview, September 2024: 0% within reachClaude 3.5 Sonnet (Oct 2024), October 2024: 0% within reacho1, December 2024: 0% within reachClaude 3.7 Sonnet, February 2025: 1% within reacho3, April 2025: 7% within reachGPT-5, August 2025: 11% within reachGemini 3 Pro, November 2025: 17% within reachClaude Opus 4.5, November 2025: 17% within reachGPT-5.2, December 2025: 21% within reachClaude Opus 4.6, February 2026: 23% within reachClaude Mythos Preview (early), April 2026: 47% within reachToday (estimate), September 2026: 54% within reach
Each step is a new best model measured by METR, four in five; the dashed end is today's estimate. Point at a dot for the model.

A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.

The tasks

Sorted by . 17 tasks from .

TaskKind
Adapt software and accompanying technical documents to another language and culture.Done more than yearly by most who do it.28%2.1 work days3.3 h to 1.7 work weeks1%Half by Sep 2028
Translate messages simultaneously or consecutively into specified languages, orally or by using hand signs, maintaining message content, context, and style as much as possible.Done hourly or more by most who do it. AI observed on this task.12%50 min25 min to 3.3 h89%Half by now
Compile terminology and information to be used in translations, including technical terms such as those for legal or medical material.Done more than weekly by most who do it. 10%1.7 h25 min to 4.2 h57%Half by now
Listen to speakers' statements to determine meanings and to prepare translations, using electronic listening systems as necessary.Done hourly or more by most who do it. 7%38 min13 min to 2.5 h86%Half by now
Check translations of technical terms and terminology to ensure that they are accurate and remain consistent throughout translation revisions.Done hourly or more by most who do it. 6%50 min17 min to 2.5 h87%Half by now
Compile information on content and context of information to be translated and on intended audience.Done hourly or more by most who do it. 6%50 min17 min to 1.7 h96%Half by now
Read written materials, such as legal documents, scientific works, or news reports, and rewrite material into specified languages.Done more than yearly by most who do it. AI observed on this task.5%3.3 h50 min to 1.7 work days21%Half by May 2027
Adapt translations to students' cognitive and grade levels, collaborating with educational team members as necessary.Done daily by most who do it. AI observed on this task.5%1.3 h25 min to 3.3 h77%Half by now
Identify and resolve conflicts related to the meanings of words, concepts, practices, or behaviors.Done hourly or more by most who do it. 4%25 min13 min to 1.7 h98%Half by now
Proofread, edit, and revise translated materials.Done daily by most who do it. AI observed on this task.4%1.3 h25 min to 3.3 h77%Half by now
Follow ethical codes that protect the confidentiality of information.Done hourly or more by most who do it. 4%13 min4 min to 38 min99%Half by now
Check original texts or confer with authors to ensure that translations retain the content, meaning, and feeling of the original material.Done more than weekly by most who do it.3%50 min13 min to 1.7 h90%Half by now

Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.

Jobs that share skills with this one

From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.

Where this job works

The industry groups that employ the most of it (BLS, May 2025).

Where the most of these jobs are

The metro areas with the most people in it (BLS, May 2025).