IS WORK OVER?

Automation index

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

A doc skeleton comes earlier. A human installing the product without ringing do not.

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

Task comparison

Technical writer

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
Structure, API docs and the tutorial.
Estimate

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

18%52%+9.4
Screenshots, versions and not leaving the old shot.
Estimate

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

16%40%+6.4
The engineer who will not write, and extracting the how.
Estimate

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

16%22%+3.5
Legal review, i18n and the changelog.
Estimate

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

16%28%+4.5
Support, the tickets and what the doc misses.
Estimate

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

18%14%+2.5
That it can be installed, and not documenting thin air.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • document APIs
  • product tutorials
  • screenshots
  • changelogs
  • extract knowledge
  • docs i18n
  • version review
  • support tickets

Sources for this job· O*NET 27-3042.00· ESCO/ISCO 2641

Criminologist

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
Data, maps and the victimisation report.
Estimate

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

18%48%+8.6
Profiles, reoffending and programme evaluation.
Estimate

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

16%40%+6.4
Field, interviews and what the spreadsheet misses.
Estimate

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

18%18%+3.2
Police, judges and the measure under debate.
Estimate

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

16%28%+4.5
Prevention, the neighbourhood and the programme that does not fit.
Estimate

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

16%22%+3.5
The opinion, and not selling magic recipes.
Estimate

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

16%14%+2.2
Total100%28%

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

Skills and activities

  • crime maps
  • study reoffending
  • victimisation
  • evaluate programmes
  • situational prevention
  • criminological profiles
  • reports for judges
  • fieldwork

Sources for this job· O*NET 19-3041.00· ESCO/ISCO 2632

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