IS WORK OVER?

Automation index

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

A glossary comes earlier. Saying exactly what was said, not what suited, do not.

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

Task comparison

Court interpreter

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
Glossary, the case and the language.
Estimate

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

16%40%+6.4
Court, the oath and the one who stumbles.
Estimate

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

18%14%+2.5
Cells, the statement and not softening it.
Estimate

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

16%28%+4.5
Document, the translation and the stamp.
Estimate

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

16%22%+3.5
Counsel, the rush and not jumping a meaning.
Estimate

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

18%18%+3.2
Say what was said, and not what suited.
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

  • court glossaries
  • court interpreting
  • statements
  • the oath
  • sworn translation
  • cells
  • not soften
  • stamps

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

QA automation engineer

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
Test, the selector and the flake.
Estimate

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

18%48%+8.6
Pipeline, the green and the one that lies.
Estimate

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

16%40%+6.4
Bug, the repro and not closing it blind.
Estimate

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

16%22%+3.5
Data, the environment and not sharing prod.
Estimate

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

16%28%+4.5
The developer, the rush and not skipping the one that fails.
Estimate

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

18%14%+2.5
Catch the bug, and not painting a lying green.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • automated tests
  • selectors
  • flakes
  • QA pipelines
  • repro
  • environments
  • lying green
  • debug tests

Sources for this job· O*NET 15-1253.00· ESCO/ISCO 2519

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