IS WORK OVER?

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

Bookbinder

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
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
Total100%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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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