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.
#550 / 633
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?
Mobile developer
28%
#92 / 633
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514