IS WORK OVER?

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

Pet 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.

TaskShareAIPoints
Breed, card and what the owner wants.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Bath, clip and the one that bites.
Estimate

No public source provides a precise figure. This is our estimate.

22%8%+1.8
Ears, nails and not hurting.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Diary, the delay and the dog that panics.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The owner, the photo and not taking too much off.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
No stress, and giving it back whole.
Estimate

No public source provides a precise figure. This is our estimate.

14%12%+1.7
Total100%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

Dosimetrist

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.

TaskShareAIPoints
CT, contours and the plan.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Organ at risk, the curve and not overshooting.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Physics, the check and the one that does not fit.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Fraction, the setup and the patient who is not the same.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The oncologist, the trade-off and not signing blind.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
The tumour gets it, and the healthy organ does not.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • dose plans
  • contours
  • organs at risk
  • dosimetry check
  • fractions
  • setup
  • sim CT
  • DVH curves

Sources for this job· O*NET 29-2036.00· ESCO/ISCO 3211

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