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?
Risk manager
29%
#60 / 633
View rankingRisk 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.
| Task | Share | AI | Points |
|---|---|---|---|
Maps, models and risk reporting.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 52% | +11.4 |
Policies, limits and stress tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Escalate an incident and talk to desks.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Committee, exceptions and negotiation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Data quality and model assumptions.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
Stop the risk and sign the opinion.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 29% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Maps, models and risk reporting
- Policies, limits and stress tests
- Escalate an incident and talk to desks
- Committee, exceptions and negotiation
- Data quality and model assumptions
- Stop the risk and sign the opinion
- risk manager
- gestor de riesgos
- riesgo operacional
Sources for this job· O*NET 13-2099.02· ESCO/ISCO 2413