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?
Watchmaker
22%
AI can already do 22% of this job.
#376 / 633
View rankingWatchmaker
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.
| Task | Share | AI | Points |
|---|---|---|---|
Diagnose, quote and explain to the client.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Open, strip, clean and oil the movement.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Spares, rate adjustment and calibration.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Cases, straps, water resistance and polish.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The counter, commissions and pieces that do not come back.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Times, real spares and a watch that keeps time.EstimateNo 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
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
IS WORK OVER?
Forest ranger
18%
#551 / 633
View rankingForest ranger
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.
| Task | Share | AI | Points |
|---|---|---|---|
Logs, GIS and penalty files.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Patrol, poaching and fires.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Neighbours, shepherds and councils.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Sampling, paths and signage.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Duties, weather and terrain.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
Not arriving late to a column of smoke.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Logs, GIS and penalty files
- Patrol, poaching and fires
- Neighbours, shepherds and councils
- Sampling, paths and signage
- Duties, weather and terrain
- Not arriving late to a column of smoke
- agente forestal
- agente medioambiental
- forest ranger
Sources for this job· O*NET 33-3031.00· ESCO/ISCO 5419