IS WORK OVER?

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

Book 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.

TaskShareAIPoints
Diagnosis, paper and the proposal.
Estimate

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

16%40%+6.4
Clean, infill and the one that falls apart.
Estimate

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

18%14%+2.5
Sew, bind and the spine.
Estimate

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

16%28%+4.5
Box, climate and the store.
Estimate

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

16%22%+3.5
The owner, the copy and not leaving it new.
Estimate

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

18%18%+3.2
Not overworking the copy, and signing the treatment.
Estimate

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

16%12%+1.9
Total100%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

Home-automation installer

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
Diagram, buses and scene programming.
Estimate

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

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

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

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

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

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

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

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

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

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

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