IS WORK OVER?

Automation index

Can AI do the work of a Translator?

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

It does not estimate how many people will be out of work.

Task comparison

Translator

Where the time goes

Score = Σ (weight × saving). Weight is our estimate from frequency, not a time share published by O*NET. Saving is separate.

Weights are our estimate from O*NET frequency (FT). O*NET does not publish % of the week.

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

No public source pins this saving. It is an estimate of the method.

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 pins this saving. It is an estimate of the method.

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 pins this saving. It is an estimate of the method.

21%28%+5.9
Total100%52%

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

Skills this job uses

  • 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

Executive chef

Where the time goes

Score = Σ (weight × saving). Weight is our estimate from frequency, not a time share published by O*NET. Saving is separate.

Weights are our estimate from O*NET frequency (FT). O*NET does not publish % of the week.

TaskShareAIAdds
Menus, dish sheets and food cost.
Estimate

No public source pins this saving. It is an estimate of the method.

18%38%+6.8
Orders, suppliers and waste.
Estimate

No public source pins this saving. It is an estimate of the method.

16%28%+4.5
Pass, plating and service pace.
Estimate

No public source pins this saving. It is an estimate of the method.

20%10%+2
Lead the brigade, shifts and conflicts.
Estimate

No public source pins this saving. It is an estimate of the method.

16%12%+1.9
Cook on the line and correct doneness.
Estimate

No public source pins this saving. It is an estimate of the method.

16%15%+2.4
Hygiene, audits and the house’s name.
Estimate

No public source pins this saving. It is an estimate of the method.

14%12%+1.7
Total100%19%

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

Skills this job uses

  • cook
  • mise en place
  • dishes
  • bake
  • Menus, dish sheets and food cost
  • Orders, suppliers and waste
  • Pass, plating and service pace
  • Lead the brigade, shifts and conflicts
  • Cook on the line and correct doneness
  • Hygiene, audits and the house’s name

Sources for this job· O*NET 35-1011.00· ESCO/ISCO 3434

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