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
IS WORK OVER?
Book editor
25%
AI can already do 25% of this job.
#220 / 623
View rankingBook 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.
| Task | Share | AI | Points |
|---|---|---|---|
Readers’ reports, selection and rejection.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Work the text with the author: structure and tone.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 22% | +4 |
P&L, advances, contracts and the schedule.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Coordinate copy-edit, layout, cover and press.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
List, bookshops and the life of the title.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The editorial bet and owning the book.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 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
IS WORK OVER?
BI analyst
34%
#18 / 623
View rankingBI analyst
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.
| Task | Share | AI | Points |
|---|---|---|---|
Model data, light ETL and dashboards.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Write SQL, measures and docs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 50% | +9 |
Define KPIs with the business and negotiate meaning.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Present insights and defend the number.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Data quality, alerts and lineage.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Prioritise requests and say no.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model data, light ETL and dashboards
- Write SQL, measures and docs
- Present insights and defend the number
- Data quality, alerts and lineage
- Prioritise requests and say no
- business intelligence
- analista bi
- power bi
- looker
Sources for this job· O*NET 15-2051.00· ESCO/ISCO 2511