IS WORK OVER?

Automation index

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

A reader’s report comes earlier. Backing a manuscript and getting it into bookshops do not.

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

Task comparison

Book 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
Readers’ reports, selection and rejection.
Estimate

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

16%40%+6.4
Work the text with the author: structure and tone.
Estimate

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

18%22%+4
P&L, advances, contracts and the schedule.
Estimate

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

16%32%+5.1
Coordinate copy-edit, layout, cover and press.
Estimate

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

18%18%+3.2
List, bookshops and the life of the title.
Estimate

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

16%28%+4.5
The editorial bet and owning the book.
Estimate

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

16%14%+2.2
Total100%25%

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

Skills and activities

  • edit books
  • readers’ reports
  • work manuscripts
  • negotiate advances
  • build the list
  • coordinate layout
  • choose the cover
  • get it into shops

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

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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