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

Actuary

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 models, reserves and sensitivities.
Estimate

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

24%55%+13.2
Draft technical reports and memos.
Estimate

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

18%48%+8.6
Choose assumptions, tables and criteria.
Estimate

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

16%22%+3.5
Explain to the board and the supervisor.
Estimate

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

16%15%+2.4
Validate data quality and bias.
Estimate

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

14%12%+1.7
Signed opinion and professional liability.
Estimate

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

12%18%+2.2
Total100%32%

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

Skills and activities

  • Run models, reserves and sensitivities
  • Draft technical reports and memos
  • Choose assumptions, tables and criteria
  • Explain to the board and the supervisor
  • Validate data quality and bias
  • Signed opinion and professional liability
  • actuario
  • actuary

Sources for this job· O*NET 15-2011.00· ESCO/ISCO 2120

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