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?
BI analyst
34%
#18 / 633
View rankingBI analyst
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 |
|---|---|---|---|
Model data, light ETL and dashboards.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Write SQL, measures and docs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 50% | +9 |
Define KPIs with the business and negotiate meaning.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Present insights and defend the number.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Data quality, alerts and lineage.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Prioritise requests and say no.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model data, light ETL and dashboards
- Write SQL, measures and docs
- Present insights and defend the number
- Data quality, alerts and lineage
- Prioritise requests and say no
- business intelligence
- analista bi
- power bi
- looker
Sources for this job· O*NET 15-2051.00· ESCO/ISCO 2511