IS WORK OVER?

Automation index

How much of a Copy editor’s job can AI already do?

A checker and a first pass come earlier. Keeping the author’s voice and not inserting a typo do not.

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

Task comparison

Copy editor

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
Spelling, agreement and consistency.
Estimate

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

18%52%+9.4
Style, repetition and sentence rhythm.
Estimate

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

16%48%+7.7
Queries to the author, grey areas and the house style.
Estimate

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

16%28%+4.5
Second proofs, PDF and last-minute typos.
Estimate

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

18%22%+4
Deadlines with publisher, layout and translation.
Estimate

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

16%18%+2.9
Judgement, not over-rewriting, and the typo that remains.
Estimate

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

16%14%+2.2
Total100%31%

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

Skills and activities

  • copy-edit
  • spelling and punctuation
  • unify style
  • catch typos
  • house style
  • second proofs
  • author queries
  • avoid over-editing

Sources for this job· O*NET 27-3041.00· ESCO/ISCO 2641

Data engineer

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
Design pipelines, models and orchestration.
Estimate

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

24%50%+12
Write SQL, Spark and data tests.
Estimate

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

18%45%+8.1
Incidents, quality and lineage in production.
Estimate

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

16%22%+3.5
Talk to analysts and negotiate data contracts.
Estimate

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

16%18%+2.9
Cloud cost, permissions and PII.
Estimate

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

14%15%+2.1
Decide architecture and technical debt.
Estimate

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

12%20%+2.4
Total100%31%

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

Skills and activities

  • Design pipelines, models and orchestration
  • Write SQL, Spark and data tests
  • Cloud cost, permissions and PII
  • Decide architecture and technical debt
  • ingeniero de datos
  • data engineer
  • etl

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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