Automation index
How much of a Bookbinder’s job can AI already do?
A trim and a groove come earlier. Sewing, casing in and getting the book to open do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Bookbinder
25%
AI can already do 25% of this job.
#221 / 623
View rankingBookbinder
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 |
|---|---|---|---|
Trim, gather and prepare sections.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Sew, glue, groove and case in.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Restore spines, endpapers and damaged copies.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 22% | +4 |
Die-cut, foil and special finishes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Commissions, quotes and the client.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Materials, times and a book that lasts.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
- bind books
- sew sections
- groove spines
- case in boards
- restore books
- foil stamp
- guillotine
- glue
Sources for this job· O*NET 51-5113.00· ESCO/ISCO 7323
IS WORK OVER?
Data architect
28%
#83 / 623
View rankingData architect
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 |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511