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

Postal worker

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
Sort, rounds and postcodes.
Estimate

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

16%32%+5.1
Deliver, climb and hand over.
Estimate

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

24%8%+1.9
Notices, recorded items and collections.
Estimate

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

16%18%+2.9
Neighbours, dogs and porters.
Estimate

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

16%22%+3.5
Moped, trolley and weather.
Estimate

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

14%16%+2.2
Not losing a parcel or recorded mail.
Estimate

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

14%14%+2
Total100%18%

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

Skills and activities

  • Sort, rounds and postcodes
  • Deliver, climb and hand over
  • Notices, recorded items and collections
  • Neighbours, dogs and porters
  • Moped, trolley and weather
  • Not losing a parcel or recorded mail
  • cartero
  • cartera
  • postal worker

Sources for this job· O*NET 43-5052.00· ESCO/ISCO 4412

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