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

Tram driver

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
Checks, log and the cab.
Estimate

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

16%32%+5.1
Drive, stops and the pedestrian who steps out.
Estimate

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

24%8%+1.9
Badly parked car, calls and Control.
Estimate

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

16%22%+3.5
Timetable, reliefs and rush hour.
Estimate

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

16%28%+4.5
The tourist, the bike and not over-hooting.
Estimate

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

14%18%+2.5
Hit nobody, and make the terminus.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • drive trams
  • urban stops
  • pedestrians
  • badly parked cars
  • Control
  • rush hour
  • cab checks
  • terminus

Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311

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