IS WORK OVER?

Automation index

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

A corpus comes earlier. Describing the language without over-prescribing do not.

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

Task comparison

Linguist

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
Corpus, glosses and the analysis.
Estimate

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

18%48%+8.6
Field, the speaker and the one who will not.
Estimate

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

16%40%+6.4
Report, the variety and not dismissing it.
Estimate

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

16%22%+3.5
Teach, the standard and not humiliating.
Estimate

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

16%28%+4.5
The job, the rush and not faking the figure.
Estimate

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

18%14%+2.5
Describe, and not over-prescribing.
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

  • corpus
  • glosses
  • varieties
  • speakers
  • the standard
  • linguistic fieldwork
  • analysis
  • not over-prescribe

Sources for this job· O*NET 19-3099.00· ESCO/ISCO 2643

Front-end developer

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
Component, states and the design.
Estimate

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

18%48%+8.6
Accessible, the keyboard and the reader.
Estimate

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

16%40%+6.4
Contrast, the token and not leaving it dead.
Estimate

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

16%22%+3.5
Performance, the weight and not adding the extra library.
Estimate

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

16%28%+4.5
The designer, the pixel and not fighting for sport.
Estimate

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

18%14%+2.5
That it works from the keyboard, and not leaving the contrast.
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

  • components
  • accessibility
  • keyboard
  • contrast
  • tokens
  • front-end performance
  • libraries
  • write interface

Sources for this job· O*NET 15-1254.00· ESCO/ISCO 2513

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