Automation index
How much of a Pet groomer’s job can AI already do?
A breed card comes earlier. Grooming without stress and giving it back whole do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Pet groomer
19%
AI can already do 19% of this job.
#537 / 643
View rankingPet groomer
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 |
|---|---|---|---|
Breed, card and what the owner wants.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Bath, clip and the one that bites.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Ears, nails and not hurting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Diary, the delay and the dog that panics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The owner, the photo and not taking too much off.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
No stress, and giving it back whole.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- bathe dogs
- breed clip
- nails
- ears
- dogs that bite
- grooming diary
- not hurt
- groom
Sources for this job· O*NET 39-2021.00· ESCO/ISCO 5164
IS WORK OVER?
Data architect
28%
#83 / 643
View rankingData architect
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 |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.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
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511