IS WORK OVER?

Automation index

How much of a Dry cleaner’s job can AI already do?

A stain card comes earlier. Lifting the stain without eating the colour do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Dry cleaner

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
Card, fibre and pretreatment.
Estimate

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

16%40%+6.4
Machine, solvent and the delicate garment.
Estimate

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

18%14%+2.5
Press, the finish and the one that marks.
Estimate

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

16%28%+4.5
Job, the groom and the one who wants it now.
Estimate

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

16%22%+3.5
The old stain and not promising miracles.
Estimate

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

18%18%+3.2
Lift the stain, and not eating the colour.
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

  • pretreat stains
  • solvents
  • press
  • delicates
  • job cards
  • finish
  • fibres
  • old stains

Sources for this job· O*NET 51-6011.00· ESCO/ISCO 9121

Dietetic technician

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
Menu, textures and the allergen.
Estimate

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

16%40%+6.4
Ward, the one who will not eat and the weight.
Estimate

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

18%14%+2.5
Kitchen, the change and the one who gets the puree wrong.
Estimate

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

16%28%+4.5
Educate, discharge and what is at home.
Estimate

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

16%22%+3.5
The dietitian, the plan and not jumping to a yes.
Estimate

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

18%18%+3.2
That they eat, and not starving them.
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

  • textures
  • allergens
  • puree
  • hospital menus
  • food education
  • ward weights
  • dysphagia
  • malnutrition

Sources for this job· O*NET 29-2051.00· ESCO/ISCO 3213

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