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

Clinical research associate

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
Protocol, CRF and the monitoring visit.
Estimate

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

18%48%+8.6
Source, the gap and the one that does not fit.
Estimate

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

16%40%+6.4
Adverse event, the deadline and not delaying.
Estimate

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

16%22%+3.5
Consent, the signature and the one who did not understand.
Estimate

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

16%28%+4.5
The sponsor, the audit and not dressing the figure.
Estimate

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

18%14%+2.5
Audit, and not leaving a made-up figure.
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

  • CRF
  • monitoring
  • adverse events
  • informed consent
  • source data
  • trial audits
  • clinical protocols
  • site visits

Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131

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