Automation index
How much of a Book restorer’s job can AI already do?
A paper diagnosis comes earlier. Treating without overworking the copy do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Book restorer
22%
AI can already do 22% of this job.
#386 / 643
View rankingBook restorer
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 |
|---|---|---|---|
Diagnosis, paper and the proposal.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Clean, infill and the one that falls apart.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Sew, bind and the spine.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Box, climate and the store.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The owner, the copy and not leaving it new.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not overworking the copy, and signing the treatment.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- paper
- infill losses
- sew sections
- spines
- conservation boxes
- store climate
- book diagnosis
- not overwork
Sources for this job· O*NET 25-4013.00· ESCO/ISCO 2621
IS WORK OVER?
Statistician
26%
#206 / 643
View rankingStatistician
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, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120