IS WORK OVER?

Automation index

How much of a Translator’s job can AI already do?

Today an AI can already do 52% of this job. Literary or close legal translation still needs someone willing to stand behind every word.

This percentage does not predict how many people will lose their jobs.

Task comparison

Translator

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Follow ethical codes that protect the confidentiality of information.
Estimate

No public source provides a precise figure. This is our estimate.

15%28%+4.2
Translate messages simultaneously or consecutively into specified languages, orally or by using hand signs, maintaining message content, context, and style as much as possible.
Public

WMT 2024

See evidence

14%72%+10.1
Listen to speakers' statements to determine meanings and to prepare translations, using electronic listening systems as necessary.
Public

WMT 2024

See evidence

11%72%+7.9
Identify and resolve conflicts related to the meanings of words, concepts, practices, or behaviors.
Estimate

No public source provides a precise figure. This is our estimate.

10%28%+2.8
Check translations of technical terms and terminology to ensure that they are accurate and remain consistent throughout translation revisions.
Public

WMT 2024

See evidence

8%72%+5.8
Refer to reference materials, such as dictionaries, lexicons, encyclopedias, and computerized terminology banks, as needed to ensure translation accuracy.
Public

WMT 2024

See evidence

7%72%+5
Compile information on content and context of information to be translated and on intended audience.
Public

WMT 2024

See evidence

7%72%+5
Adapt translations to students' cognitive and grade levels, collaborating with educational team members as necessary.
Public

WMT 2024

See evidence

7%72%+5
Other less frequent tasks (weight estimated from frequency).
Estimate

No public source provides a precise figure. This is our estimate.

21%28%+5.9
Total100%52%

Modelled workweek: 100% · Public evidence: 54% · Estimate: 46% · Confidence: Medium

Skills and activities

  • translate texts
  • interpret
  • proofread translations
  • information confidentiality
  • spelling
  • office software
  • grammar
  • speak different languages
  • master language rules
  • develop a translation strategy

Sources for this job· O*NET 27-3091.00· ESCO/ISCO 2643

Science teacher

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Practical, the protocol and the kit.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Lab, the bunsen and the one who will not read.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Data, the graph and not inventing the point.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Exam, the formula and getting them to explain.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The damage, the note and not leaving the acid open.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
That they do not burn, and understand what they measured.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • lab practicals
  • bunsen
  • science protocols
  • graphs
  • formulae
  • acid
  • incident notes
  • lab safety

Sources for this job· O*NET 25-2031.00· ESCO/ISCO 2330

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