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

Bus driver

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
Run sheet, logs and clocking.
Estimate

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

16%32%+5.1
Drive the route or the charter.
Estimate

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

22%8%+1.8
Stops, accessibility and fare or validation.
Estimate

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

18%10%+1.8
Incidents, diversions and passenger care.
Estimate

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

16%12%+1.9
Pre-trip check and defect reports.
Estimate

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

14%18%+2.5
Shifts, fatigue and driving rules.
Estimate

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

14%15%+2.1
Total100%15%

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

Skills and activities

  • drive
  • route
  • load goods
  • Run sheet, logs and clocking
  • Drive the route or the charter
  • Incidents, diversions and passenger care
  • Pre-trip check and defect reports
  • Shifts, fatigue and driving rules
  • conductor de autobus
  • bus driver

Sources for this job· O*NET 53-3052.00· ESCO/ISCO 8331

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