IS WORK OVER?

Automation index

How much of a Watchmaker’s job can AI already do?

A diagnosis and a spare come earlier. Opening the movement so it keeps time again do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Watchmaker

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
Diagnose, quote and explain to the client.
Estimate

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

16%32%+5.1
Open, strip, clean and oil the movement.
Estimate

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

22%8%+1.8
Spares, rate adjustment and calibration.
Estimate

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

16%28%+4.5
Cases, straps, water resistance and polish.
Estimate

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

16%22%+3.5
The counter, commissions and pieces that do not come back.
Estimate

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

16%36%+5.8
Times, real spares and a watch that keeps time.
Estimate

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

14%12%+1.7
Total100%22%

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

Skills and activities

  • repair watches
  • open movements
  • oil calibres
  • adjust rate
  • change straps
  • water-resistance test
  • diagnose watches
  • polish cases

Sources for this job· O*NET 51-9071.00· ESCO/ISCO 7311

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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