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

Security guard

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
Logs, tagged rounds and digital access.
Estimate

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

16%32%+5.1
Cameras, control rooms and written protocols.
Estimate

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

14%22%+3.1
Presence, rounds and physical control.
Estimate

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

22%8%+1.8
Incidents, ID checks and citizen’s arrest.
Estimate

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

18%8%+1.4
Dealing with client, neighbour and police.
Estimate

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

16%12%+1.9
Night shifts, fatigue and judgment.
Estimate

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

14%16%+2.2
Total100%16%

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

Skills and activities

  • Logs, tagged rounds and digital access
  • Presence, rounds and physical control
  • Incidents, ID checks and citizen’s arrest
  • Dealing with client, neighbour and police
  • Night shifts, fatigue and judgment
  • vigilante
  • security guard
  • guardia de seguridad

Sources for this job· O*NET 33-9032.00· ESCO/ISCO 5414

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