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?

25%

AI can already do 25% of this job.

#221 / 633

Bookbinder

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. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Sew, glue, groove and case in. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Restore spines, endpapers and damaged copies. Estimate No public source provides a precise figure. This is our estimate.	18%	22%	+4
Die-cut, foil and special finishes. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Commissions, quotes and the client. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Materials, times and a book that lasts. Estimate No 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

IS WORK OVER?

28%

#109 / 633

BIM modeller

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, families and clash detection. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
IFC, BEP and trade coordination. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Site, the one who will not open the model, and the meeting. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Quantities, parameters and the 4D nobody uses. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The last-minute change and not breaking the federated model. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it can be built, and not over-modelling. Estimate No 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