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

IS WORK OVER?

22%

AI can already do 22% of this job.

#376 / 633

Watchmaker

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
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
Total	100%		22%

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

IS WORK OVER?

19%

#486 / 633

Metro driver

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
Checks, tests and the cab log. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Drive, stop at platforms and regulate running. Estimate No public source provides a precise figure. This is our estimate.	24%	8%	+1.9
Incidents, evacuation and talk to Control. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Timetables, reliefs and the day’s orders. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Passengers, platforms and announcements. Estimate No public source provides a precise figure. This is our estimate.	14%	18%	+2.5
Rules, fatigue and liability for the train. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		19%

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