Automation index
How much of a Dog trainer’s job can AI already do?
A plan and a video come earlier. A dog that does not bite, and an owner who gets it, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Dog trainer
18%
AI can already do 18% of this job.
#560 / 643
View rankingDog trainer
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 |
|---|---|---|---|
Assess, plan and dog charts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Sessions, lead and reading the animal.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Train the owner, not just the dog.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Groups, reactivity and safety.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Premises, kennels and hygiene.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not leaving a dangerous dog in a home.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
- Assess, plan and dog charts
- Sessions, lead and reading the animal
- Train the owner, not just the dog
- Groups, reactivity and safety
- Premises, kennels and hygiene
- Not leaving a dangerous dog in a home
- adiestrador
- educador canino
- dog trainer
Sources for this job· O*NET 39-2011.00· ESCO/ISCO 5164
IS WORK OVER?
Olive-oil miller
22%
#355 / 643
View rankingOlive-oil miller
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 |
|---|---|---|---|
Intake, yield and the mill log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Crush, malaxate and the decanter.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Temperature, time and the fruitiness.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Cellar, the batch and the one that goes rancid.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The campaign, the tractor queue and not heating.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cold for real, and not painting the yield.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- crush olives
- malaxation
- decanter
- fruitiness
- the campaign
- mill yield
- oil cellar
- extraction temperature
Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514